In recent years, medical gas therapy has emerged as a promising approach for treating neuropathic pain. This review article aimed to investigate the therapeutic effects of medical gas therapy on neuropathic pain and its underlying mechanisms, thereby providing a theoretical foundation for clinical practice. A literature search was conducted using the Web of Science Core Collection database. Co-occurrence analysis of keywords revealed that terms including "neuropathic pain," "nitric oxide," "nitric oxide synthase," "pain," and "ozone" frequently appeared. Cluster analysis grouped these keywords into four primary categories: intervertebral disc disease and gas therapy, mechanisms of neuropathic pain and gas interventions, the role of nitric oxide in modulating neuropathic pain and gas therapy, and the effects of gas therapy on mental disorders in the context of neuropathic pain treatment. The analysis of highly cited literature in the field of medical gas therapy for neuropathic pain emphasizes the crucial roles of nitric oxide and nitric oxide synthase in nerve injury and pain. Various types of gas therapy, including oxygen-ozone therapy and nitric oxide-related therapies, show promise in treating pain following peripheral nerve injury. Oxidative stress and nitric oxide are crucial regulatory factors in the pain signaling associated with trigeminal neuralgia. Ozone therapy alleviates trigeminal pain by inhibiting inflammatory responses, reducing oxidative stress, and modulating neurotransmitter release. Novel nanomaterials, such as manganese oxide nanoparticles, have also demonstrated potential in scavenging free radicals and alleviating sciatic nerve pain. Ozone therapy has shown good clinical efficacy in treating lumbar disc herniation and sciatica, whereas both ozone therapy and hyperbaric oxygen therapy have demonstrated effectiveness and safety in managing postherpetic neuralgia. In conclusion, medical gas therapy for neuropathic pain primarily includes oxygen-ozone therapy, nitric oxide-related therapies, hydrogen sulfide-related therapies, and hyperbaric oxygen therapy. While these therapies exhibit efficacy in managing neuropathic pain, further research is necessary to elucidate their mechanisms of action and safety profiles. Although hyperbaric oxygen therapy and ozone therapy have already been implemented in clinical research, other types of gas therapy are still in the animal testing phase. Therefore, future studies should focus on conducting more multicenter, large-sample randomized controlled trials to accelerate clinical translation and provide more effective treatment options for patients suffering from neuropathic pain.

Celastrol, acknowledged as a prominent exemplar of the potential for transforming traditional medicinal compounds into contemporary pharmaceuticals, has garnered considerable attention owing to its extensive pharmacological activities. The increasing volume of publications concerning celastrol highlights its importance in current scientific inquiry. Despite the growing interest in this compound, a bibliometric analysis focused on this subject remains to be undertaken.

Our study explored a bibliometric approach to identify and characterize global research trends and frontiers related to celastrol, including mapping research outputs, influential contributors, and thematic areas, as well as highlighting gaps and opportunities for future investigations.

In this study, we utilized the Web of Science Core Collection (WoSCC) to source and review articles related to celastrol published from 1997 to 2023. The bibliometric analysis was conducted using the R package 'Bibliometrix,' supplemented by visualization tools including CiteSpace, VOSviewer, and GraphPad Prism 10.

Celastrol related research papers have exhibited an upward trend annually and can be categorized into three distinct phases, each highlighting different areas of focus. China, the United States, and South Korea rank as the top three nations for publication volume, with varied research interests across these countries. Several prolific research teams have emerged, each with distinct areas of interest. Examining the primary research domains of celastrol (anti-inflammatory, anticancer, and toxicity) reveals a notable intersection between the first two domains.

The scope and depth of celastrol research have been steadily expanding, with regional and team-specific variations. Key research areas include anti-inflammatory, anticancer, and toxicity studies. Future research is expected to focus on enhancing the effectiveness and reducing the toxicity of celastrol. Meanwhile, given the multi-target characteristics of celastrol's effects, integrating methods such as network biology and molecular simulation will provide a novel perspective for celastrol research.

Programmed cell death-1 (PD-1) inhibitors and programmed cell death ligand 1 (PD-L1) inhibitors are considered effective alternatives for the primary treatment of recurrent metastatic cancers. However, they can induce various adverse events affecting multiple organ systems, potentially diminishing patients' quality of life, and even leading to treatment interruptions. Adverse events related to PD-1/PD-L1 inhibitors differ from those associated with CTLA-4 inhibitors and are more commonly observed in the treatment of solid tumors. This study aimed to address the knowledge gap regarding adverse events related to PD-1/PD-L1 inhibitors. A visual bibliometric network was constructed using VOSviewer, CiteSpace, R software, and the Web of Science Core Collection (WoSCC) to quantitatively analyze this research field. Future research directions were also explored. The USA ranked first in publication count and total citations. Over time, publication types transitioned from case reports to clinical trials. Research on for nivolumab was the most prevalent. The spectrum of cancers treated by PD-1/PD-L1 inhibitors expanded beyond melanoma and lung cancer to include renal cell carcinoma, esophageal cancer, and others. Common adverse events included pneumonitis, myasthenia gravis, and vitiligo. There was a significant increase in multi-phase clinical trials and studies related to biomarkers. This study offers valuable insights for potential collaborators and institutions, highlighting trends in the study of adverse events related to PD-1/PD-L1 inhibitors. The management of these adverse events has become more refined and standardized. Biomarker research and multi-phase clinical trials are likely to be key areas of focus in future studies.

Immunosenescence refers to the gradual decline in immune system function with age, increasing susceptibility to infections and cancer in the elderly. The advent of novel immunotherapies has revolutionized the field of cancer treatment. However, the majority of patients exhibit poor re-sponses to immunotherapy, with immunosenescence likely playing a significant role. In recent years, significant progress has been made in understanding the interplay between immunosenescence and immunotherapy. Our research aims to explore the prospects and development trends in the field of immunosenescence and immunotherapy using a bibliometric analysis. Relevant articles were collected from the Web of Science Core Collection (WoSCC) (retrieved on July 20, 2024). Primary bibliometric characteristics were analyzed using the R package "Biblio-metrix," and keyword co-occurrence analysis and visualization were conducted using VOSviewer. A total of 213 English-language original research and review articles spanning 35 years were re-trieved for bibliometric analysis. There was a surge in publications in this field starting in 2017. The United States and China contributed the most articles. Frontiers in Immunology was the most productive journal, while the University of California System was the highest contributing institution. Besse Benjamin from France emerged as the most influential researcher in this field. Popular keywords included "nivolumab," "T cells," "dendritic cells," and "regulatory T cells." The "immunosenescence-associated secretory phenotype" has become a new hotspot, with immune checkpoint inhibitors remaining a central theme in this domain. The field of immunosenescence and immunotherapy is entering a phase of rapid development and will continue to hold significant value in future research.

Cancer seriously threatens the lives and health of people worldwide, and exosomes seem to play an important role in managing cancer effectively, which has attracted extensive attention from researchers in recent years. This study aimed to scientifically visualize exosomes research in cancer (ERC) through bibliometric analysis, reviewing the past, summarizing the present, and predicting the future, with a view to providing valuable insights for scholars and policy makers. Researches search and data collection from Web of Science Core Collection and clinical trial.gov. Calculations and visualizations were performed using Microsoft Excel, VOSviewer, Bibliometrix R-package, and CiteSpace. As of December 1, 2024, and March 8, 2025, we identified 8,001 ERC-related publications and 107 ERC-related clinical trials, with an increasing trend in annual publications. Our findings supported that China, Nanjing Medical University, and International Journal of Molecular Sciences were the most productive countries, institutions, and journals, respectively. Whiteside, Theresa L. had the most publications, while Théry, C was the most co-cited scholar. In addition, Cancer Research was the most co-cited journal. Spatial and temporal distribution of clinical trials was the same as for publications. High-frequency keywords were "extracellular vesicle," "microRNA" and "biomarker." Additional, "surface functionalization," "plant," "machine learning," "nanomaterials," "promotes metastasis," "engineered exosomes," and "macrophage-derived exosomes" were promising research topics. Our study comprehensively and visually summarized the structure, hotspots, and evolutionary trends of ERC. It would inspire subsequent studies from a macroscopic perspective and provide a basis for rational allocation of resources and identification of collaborations among researchers.

Immunity has vital research value and promising applications in triple-negative breast cancer (TNBC). Nevertheless, few bibliometric analyses have systematically investigated this area. This study aimed to comprehensively review the collaboration and impact of countries, institutions, authors, and journals on the role of immunity in TNBC from a bibliometric perspective, evaluate the keyword co-occurrence of the knowledge structure, and identify hot trends and emerging topics. Articles and reviews related to immunity in TNBC were retrieved from the Web of Science core collection using subject search. A bibliometric study was conducted primarily using CiteSpace and VOSviewer. A total of 3,104 articles and reviews were included from January 1, 2014, through December 31, 2024. The number of articles on immunization in TNBC is rising. These publications are mainly from 415 institutions in 82 countries, led by China and the USA. Among these publications, Lajos Pusztai published the most papers, while Peter Schmid was co-cited the most. The most productive journals focused on molecular biology, biological immunology, and clinical medicine. Furthermore, co-citation analysis revealed that tumor microenvironment, biomarkers, and immune checkpoint inhibitors are current and developing research areas. The keywords "immunotherapy" and "nanoparticles" are also likely to be new trends and focal points for future research. This study adopted bibliometric and visualization methods to provide a comprehensive review of the research on immunization in TNBC. This article will help researchers better understand the dynamic evolution of the role of immunity in TNBC and identify areas for future research.

Recently, immunotherapy has been a key therapeutic strategy for cancer. Deubiquitinating enzymes (DUBs), which are protein-modifying enzymes, have a crucial role in the pathogenesis of cancer, autoimmune diseases, and inflammation. DUBs influence the tumor immune microenvironment by regulating immune cell functions and key signaling pathways. Thus, the potential applications of DUBs in immunotherapy have piqued the interest of the scientific community. This study performed bibliometric analysis to comprehensively examine the research hotspots and trends in this field, providing theoretical foundations and guidance for future research. Studies associated with DUBs and immunotherapy conducted over a decade (2014 to 2024) were searched and extracted from Web of Science Collection database. The analysis was performed using CiteSpace, VOSviewer, and the Bibliometrix package in R software. Visualizations were generated for countries, institutions, authors, journals, references, and keyword co-occurrences. In total, 321 articles related to DUBs and immunotherapy were retrieved. The number of publications increased markedly since 2020. China had the highest number of publications, while the United States exerted the most influence in this field. Zhang Jinfang was the most influential author in this field. Zhejiang University was the institution with the highest number of publications. Nature was the most cited journal (807 total citations). Keyword analysis revealed that the primary research hotspots were expression, immunotherapy, ubiquitination, degradation, and cancer. This bibliometric analysis revealed the research trends and emerging frontiers in DUBs and immunotherapy, offering novel strategies for the application of DUBs in immunotherapy.

Renal involvement is not uncommon in patients with systemic sclerosis (SSc) and presents in various forms, particularly progressing to scleroderma renal crisis (SRC), which is associated with poor prognosis. Therefore, understanding the research trends in this field is critical for advancing clinical management and therapeutic strategies.

A bibliometric analysis was conducted using the Web of Science Core Collection, examining publications related to SSc and renal involvement from January 2000 to November 2024. We analyzed publication trends, key contributors, institutions, and countries.

A total of 1,339 publications were identified in the field of SSc and renal involvement, demonstrating an upward trend in publication volume from 2000 to 2024. These articles have been cited a total of 61,234 times, with the majority of contributions coming from the United States, Italy, and East Asian countries. The University of Michigan and University College London were particularly prominent in terms of both publication volume and collaboration networks. Keyword analysis revealed a shift in research focus, with increasing attention on clinical aspects, pathophysiological mechanisms, and vascular complications.

This study provides a comprehensive overview of the research landscape on SSc with renal involvement, highlighting the key contributors and emerging trends.

Rheumatoid arthritis (RA) is a chronic inflammatory joint disease of autoimmune origin. T cells play crucial roles in the initiation and progression of RA. Although bibliometric methods have been widely used to synthesize knowledge trajectories across different biomedical fields, it has hardly been used to underscore the knowledge trends in relation to T cell and RA. This study used bibliometric methods to delineate the evolution of research on T cells and RA. Data were sourced from the Web of Science™ Core Collection and were scientometrically analyzed using CiteSpace and VOSviewer. From 2014 to 2023, 7037 papers on T cells and RA were retrieved. The number of annual publications is stable between 600 and 800, and the citation frequency continues to rise. The United States, China, the United Kingdom and Japan were the most productive countries. Karolinska Institute, and Harvard Medical School were the institutions that published the most research papers. Wei W, Cho ML, and Park SH were the most prolific authors. Mclnnes IB and Smolen JS were the most frequently cited authors. The journals with the most articles are Frontiers in Immunology, Arthritis Research & Therapy, and Arthritis & Rheumatology. Current research hotspots include pathogenic factors and targeted biological therapy, immune mechanisms, inflammatory mechanisms, and bone destruction mechanisms. The current research frontiers in this field are gut microbiota, identification, fibroblast-like synoviocytes, biologic therapy, mesenchymal stem cells, and risk. This work provides new insights into the scientific research and clinical application of T cells to develop therapeutic targets for RA.

In recent years, the increase of the post-transplantation diabetes mellitus (PTDM) after renal transplantation encourages people to do a lot of research on the disease. This paper conducted a bibliometric study on PTDM related literature to explore the risk factors of diabetes after kidney transplantation, as well as the current status, hotspots and development trends of PTDM research, so as to provide reference for researchers in related fields.

We searched the Web of Science Core Collection (WoSCC) database for PTDM literature from January 1, 1990, to August 20, 2023, and used VOSviewer, CiteSpace, and the R package 'bibliometrix' to do bibliometric analysis.

Obesity, 3 months after transplantation tacrolimus concentration >10 ng/mL, temporary hyperglycemia, delayed graft function, acute rejection is specific risk factors related to PTDM in renal transplant recipients. In addition, 74 countries led by China and the United States published 1546 papers, and the number of PTDM-related publications is increasing every year. Primary institutions included the University of California, Los Angeles, Mayo Clinic, University of Oslo, and University of Toronto. The Journal of Transplantation is the most widely read journal in the subject. The authors with the most published literature are Trond Jenssen and Adnan Sharif, and the most cited author is Kasiske BL. Expectations for continued growth in global PTDM research are increasingly high. Future studies will mainly focus on exploring the risk factors of PTDM and identifying new therapeutic approaches and targets.

Oxygen therapy is a crucial treatment method for maintaining vital signs in patients in the intensive care unit. However, several controversial issues have emerged regarding its clinical application. This article analyzes current research trends in oxygen therapy in the intensive care unit and provides guidance and recommendations. Relevant literature was retrieved from the Web of Science Core Collection, and keyword co-occurrence and highly cited literature hotspot analyses were conducted using VOSviewer 1.6.19 software. The key topics related to oxygen therapy in the intensive care unit primarily focus on four areas: oxygen therapy and mechanical ventilation in the intensive care unit, extracorporeal membrane oxygenation therapy for coronavirus disease 2019 and its role in reducing mortality, research on hypoxia and oxygen saturation monitoring, and oxygen inhalation therapy in the intensive care unit. The analysis of highly cited literature indicates that the main research hotspots regarding oxygen therapy used in the intensive care unit focus primarily on conservative oxygen therapy, high-flow nasal oxygen therapy, comparisons of high- and low-oxygenation strategies, and research on hyperbaric oxygen therapy. First, the potential of conservative oxygen therapy to reduce mortality rates in the intensive care unit has attracted considerable attention; however, further clinical studies are needed to validate its optimal parameters and suitable patient populations. Second, high-flow nasal oxygen therapy has been shown to be effective in alleviating respiratory distress and reducing the need for intubation. This therapy can deliver oxygen flows of up to 60 L/min, effectively improving respiratory distress and decreasing intubation demands. In patients subjected to high-risk extubation, the combination of high-flow nasal oxygen therapy and noninvasive ventilation significantly lowers the rate of reintubation, making the combined approach one of the best strategies to prevent respiratory failure after extubation in the intensive care unit. Third, there are differences between lower and higher oxygenation strategies regarding their effects on patient mortality, long-term outcomes, and clinician preferences; however, there is currently no clear evidence indicating which strategy is superior. Clinicians' preferences regarding various oxygenation targets may impact the design of future studies. Finally, hyperbaric oxygen therapy is recognized as an effective supportive treatment for various critical conditions and has significant application value in acute severe traumatic brain injury, cerebral resuscitation, and cardiopulmonary resuscitation. Currently, researchers are continually exploring the latest oxygen therapies in the intensive care unit. Several randomized controlled clinical trials investigating automated oxygen control, novel high-flow nasal oxygen therapy, and combined oxygen therapy are underway. The results of these trials should be closely observed. Overall, this article provides a systematic review and valuable reference for the scientific and rational application of oxygen therapy in the intensive care unit. Future research should focus on verifying the optimal parameters of conservative oxygen therapy, assessing oxygen needs in different patient populations, evaluating the long-term effects of oxygen treatment, and developing novel oxygen therapy technologies and devices.

Given the growing significance of immunotherapy in addressing the limitations of conventional acute myeloid leukemia (AML) treatments, this study aimed to elucidate the hotspot evolution and frontiers of immunotherapy in AML using bibliometric analysis. With a strict retrieval strategy applied in the Web of Science Core Collection, 2411 publications were obtained and exported. The temporal and geographical distributions of these publications and the countries, institutions, journals, and authors who contributed to the field were investigated. An in-depth content analysis was performed. The United States had various research institutions dedicated to AML immunotherapy. Frontiers in Immunology had the highest number of publications, but Blood had the highest H-index. Marion Subklewe was the most productive author. The current research hotspots of AML immunotherapy included chimeric antigen receptor-T-cell therapy, antibody-based immunotherapies, immune checkpoint blockade, and combination therapy, highlighting the key aspects of immunotherapy for AML treatment and providing comprehensive insights into the research status and advances in this field. Novel immunotherapies combined with chemotherapy may become the primary focus of AML treatment.

This study aims to fill the knowledge gap in systematically mapping the evolution of omics-driven tumor immunotherapy research through a bibliometric lens. While omics technologies (genomics, transcriptomics, proteomics, metabolomics)provide multidimensional molecular profiling, their synergistic potential with immunotherapy remains underexplored in large-scale trend analyses. A comprehensive search was conducted using the Web of Science Core Collection for literature related to omics in tumor immunotherapy, up to August 2024. Bibliometric analyses, conducted using R version 4.3.3, VOSviewer 1.6.20, and Citespace 6.2, examined publication trends, country and institutional contributions, journal distributions, keyword co-occurrence, and citation bursts. This analysis of 9,494 publications demonstrates rapid growth in omics-driven tumor immunotherapy research since 2019, with China leading in output (63% of articles) yet exhibiting limited multinational collaboration (7.9% vs. the UK's 61.8%). Keyword co-occurrence and citation burst analyses reveal evolving frontiers: early emphasis on "PD-1/CTLA-4 blockade" has transitioned toward "machine learning," "multi-omics," and "lncRNA," reflecting a shift to predictive modeling and biomarker discovery. Multi-omics integration has facilitated the development of immune infiltration-based prognostic models, such as TIME subtypes, which have been validated across multiple tumor types, which inform clinical trial design (e.g. NCT06833723). Additionally, proteomic analysis of melanoma patients suggests that metabolic biomarkers, particularly oxidative phosphorylation and lipid metabolism, may stratify responders to PD-1 blockade therapy. Moreover, spatial omics has confirmed ENPP1 as a potential novel therapeutic target in Ewing sarcoma. Citation trends underscore clinical translation, particularly mutation-guided therapies. Omics technologies are transforming tumor immunotherapy by enhancing biomarker discovery and improving therapeutic predictions. Future advancements will necessitate longitudinal omics monitoring, AI-driven multi-omics integration, and international collaboration to accelerate clinical translation. This study presents a systematic framework for exploring emerging research frontiers and offers insights for optimizing precision-driven immunotherapy.

Kidney transplantation is the definitive treatment for end-stage renal disease (ESRD), yet challenges persist in optimizing donor-recipient matching, postoperative care, and immunosuppressive strategies. This study employs bibliometric analysis to evaluate 890 publications from 1993 to 2023, using tools such as CiteSpace and VOSviewer, to identify global trends, research hotspots, and future opportunities in applying artificial intelligence (AI) to kidney transplantation. Our analysis highlights the United States as the leading contributor to the field, with significant outputs from Mayo Clinic and leading authors like Cheungpasitporn W. Key research themes include AI-driven advancements in donor matching, deep learning for post-transplant monitoring, and machine learning algorithms for personalized immunosuppressive therapies. The findings underscore a rapid expansion in AI applications since 2017, with emerging trends in personalized medicine, multimodal data fusion, and telehealth. This bibliometric review provides a comprehensive resource for researchers and clinicians, offering insights into the evolution of AI in kidney transplantation and guiding future studies toward transformative applications in transplantation science.

Objectives: Premature ovarian insufficiency (POI) is a serious condition that affects women worldwide, In recent years, the number of research publications on POI has increased over the last decades because of the advancement of cutting-edge research in gynecology and the deepening of disciplinary interactions. At the same time, there is a more urgent need to systematically analyze and review existing studies to generalize the research paradigm and disciplinary structure of the field under technological changes.

Materials and methods: We selected the top 100 most cited papers in the Web of Science (WOS) SCI-Expanded database. Knowledge graphs were constructed through the VOS viewer, Cite Space, and Scimago Graphica software, and then relevant information retrieved from the literature was edited using Excel to assess research priorities and trends in the field.

Results: A total of 53 periodicals from 34 different nations and regions published the 100 most-cited publications between 1999 and 2024. The Journal of Clinical Endocrinology & Metabolism published the majority of the papers, while The Lancet had the highest average number of citations per piece. The United States of America produced the highest contribution in terms of publications, with China and France closely trailing after. In terms of total publications, Erasmus MC, Shanghai Jiao Tong University, and Shandong University each contributed the highest number of papers. The main categories were obstetrics and gynecology, endocrinology and metabolism, and reproductive biology. The top five keywords were: failure, women, ANTI-MULLERIAN HORMONE, NATURAL MENOPAUSE, and AGE. The study of HERITAGE AND GENETICS, CARDIOVASCULAR DISEASES, and CELL BIOLOGY AND IMMUNOGENETICS is becoming more and more popular in POI, as shown by cluster analysis.

Conclusions: Bibliometric analysis enables POI researchers to efficiently and visibly pinpoint the cutting-edge areas and focal points of their study. Potential topics of future study may include genetic and molecular biological pathways, cardiovascular pathology, and immunology.

Hip disease is a global public health issue, associated with high morbidity, mortality, and healthcare costs. Although research on proximal femoral trabeculae has been conducted for over a century, no bibliometric analysis has been carried out. The purpose of this study is to evaluate the existing research landscape, identify emerging trends, and offer insights for future studies.

The scientific output related to the trabeculae within the human proximal femur from 2004 to 2023 was sourced from the Web of Science Core Collection. Moreover, both the annual publications and cumulative totals over this period were summarized in Excel. The VOS viewer was utilized to analyze co-authorship and co-citation relationship between authors, institutions, countries, references and journals. CiteSpace was used to cluster the keywords and research frontiers in this field.

A total of 365 publications were extracted, with the USA emerging as the primary contributor to this field, accounting for 133 publications with 5807 total citations, averaging 43.7 citations per publication. The Journal of Bone and Mineral Research has been identified as the most co-cited journal with a total of 1742 citations. The journals can be categorized into 5 distinct clusters, including medical imaging, orthopedic clinical research, research on endocrine and metabolic related diseases, human evolution and anatomy related research, biomechanics and modeling. The keyword with the highest co-occurrence frequency is "bone mineral density". The keywords were stratified into six clusters, including DXA, bone remodeling, diagnosis, titanium alloy bionic cannulated screws, individual trabecula segmentation, and QCT. More recently, the focus has expanded to three-dimensional modeling, falls, microarchitecture, and avascular necrosis.

Evaluation of proximal femoral strength can be improved by combining structural parameters with bone mineral density by DXA or QCT. Three-dimensional analysis, microarchitecture, and bionic implants are emerging as significant areas of focus and trends for future research.

The widespread use and distribution of neonicotinoids (NNIs) have led to their significant accumulation in aquatic ecosystems, posing serious ecological risks to non-target species and the human food chain. This review employed bibliometric analysis to examine global research from 2013 to 2023, highlighting key trends, advancements, and research priorities. Moreover, we summarized the global distribution of NNIs in various aquatic environments through content analysis and assessed their ecotoxicological effects under controlled laboratory conditions. Our findings indicate a growing global concern about NNIs in aquatic systems, with research efforts primarily concentrated in regions most affected by their use. The presence of NNIs across different water bodies highlights widespread contamination, with China facing particularly severe pollution. However, research on the safety of NNIs in aquatic environments remains insufficient. Future studies should focus on monitoring chronic NNIs exposure and its long-term ecological impacts through field research. Moreover, developing microbial formulations, integrating phytoremediation, and combining multiple technologies for synergy are crucial for developing sustainable strategies to mitigate NNIs pollution, protect human health, and preserve aquatic ecosystems.

Online learning has become an integral part of nursing education, especially in response to the growing reliance on technology and the global transition to remote learning.

This study explored research outputs and impact, collaborative networks, and thematic trends in online learning within nursing education to guide future educational advancements.

A bibliometric analysis was conducted using the Web of Science database to examine publications spanning from 2000 to August 2024. VOSviewer and Biblioshiny were utilized to assess publication trends, co-authorship, co-citation, and keyword co-occurrence, providing a comprehensive view of the research landscape. Descriptive statistics and visualizations were employed to enhance clarity and facilitate interpretation of key findings.

The dataset encompassed 703 institutions across 56 countries, demonstrating the global scope of online learning research in nursing education. Publication output grew steadily, reaching a peak of 111 articles in 2022 (17 % of the total). The United States led with 555 publications and 2669 citations, followed by Australia (n = 92), Canada (n = 62), and Iran (n = 45). Co-authorship analysis revealed dense regional networks, with the University System of Ohio and the University of North Carolina as central hubs, though international collaborations were sparse. Keyword co-occurrence analysis identified three primary thematic clusters: (1) the impact of the COVID-19 pandemic, (2) student engagement, readiness, and motivation, and (3) technological integration and pedagogical approaches.

This bibliometric analysis provides a comprehensive overview of online learning research in nursing education, highlighting its growth, thematic focus areas, and collaborative networks. The findings serve as a foundation for advancing evidence-based, inclusive, and innovative educational practices. Online learning is no longer a peripheral aspect of nursing education but a cornerstone for driving excellence, equity, and innovation. By addressing existing gaps and embracing emerging opportunities, stakeholders can reimagine nursing education to better prepare students for the challenges of modern healthcare.

The potential introduction of cultivated meat products to the market, framed as sustainable alternative to conventional animal-source foods, underscores the need to examine psychological barriers and predisposing factors influencing consumer acceptance. Familiarity is often considered a facilitating factor, based on the premise that higher familiarity with cultivated meat is associated with greater acceptance. However, evidence remains contradictory and poorly integrated. This review examines and organizes the literature on familiarity with cultivated meat and its influence on consumer acceptance. A scoping review of peer-reviewed and grey literature was conducted on June 7, 2024, following PRISMA-ScR and Joanna Briggs Institute guidelines. Comprehensive searches across Scopus, Web of Science, PubMed, and PsycInfo included no restrictions on participant type, geographic location, social and cultural contexts, language, or publication time. 63 articles were analyzed to examine (i) definitions of familiarity, (ii) methodologies measuring familiarity with cultivated meat, and (iii) evidence regarding its influence on consumer acceptance of cultivated meat. Results indicate that current research on familiarity is largely based on non-representative samples, with data recency limitations, and inconsistent operationalization. Familiarity is often conflated with the related yet distinct constructs of awareness and knowledge, revealing a lack of clarity in literature. The review also identified various approaches for assessing familiarity, all lacking psychometric rigor, hindering replicability and comparability of findings. This review highlights the need for further research to clarify the theoretical and operational definition of familiarity and its role in consumer acceptance of cultivated meat.

Frailty, a significant predictor of adverse health outcomes, has become a focal point of research, particularly with the advent of artificial intelligence (AI) technologies. This study aimed to provide a comprehensive bibliometric analysis of research trends in AI and frailty to map conceptual developments, collaborations, and emerging themes in the field.

A systematic search was conducted using the Scopus database employing a comprehensive set of keywords related to AI and frailty. The search was refined to include only original articles in English, yielding 1213 documents. Data extraction was performed in October 2024 and exported in the CSV and BibTeX formats. Annual growth trends were analyzed using Microsoft Excel, while VOSviewer and R-package were used for bibliometric analyzes and visualization to identify key contributors, collaborations, and thematic clusters.

The analysis revealed rapid growth in research publications, with AI applications in frailty gaining prominence over the past decade. Thematic clusters highlight areas such as predictive modeling, machine learning applications, and geriatric care innovations. The United States, United Kingdom, and Italy emerged as leading contributors to publications and collaborations. The key topics included prediction models, dementia, sarcopenia, and rehabilitation. This bibliometric study underscores the increasing integration of AI into frailty research, revealing key trends, collaborative networks, and emerging areas of focus.

These findings can guide future research, foster collaborations, and enhance the application of AI technologies to improve frailty assessment and management.

This bibliometric analysis aims to explore scientific data on Artificial Intelligence (AI) and Head and Neck Cancer (HNC).

AI-related HNC articles from the Web of Science Core Collection were searched. VosViewer and Biblioshiny/Bibiometrix for R Studio were used for data synthesis. This analysis covered key characteristics such as sources, authors, affiliations, countries, citations and top cited articles, keyword analysis, and trending topics.

A total of 1,019 papers from 1995 to 2024 were included. Among them, 71.6% were original research articles, 7.6% were reviews, and 20.8% took other forms. The fifty most cited documents highlighted radiology as the most explored specialty, with an emphasis on deep learning models for segmentation. The publications have been increasing, with an annual growth rate of 94.4% after 2016. Among the 20 most productive countries, 14 are high-income economies. The keywords of strong citation revealed 2 main clusters: radiomics and radiotherapy. The most frequently keywords include machine learning, deep learning, artificial intelligence, and head and neck cancer, with recent emphasis on diagnosis, survival prediction, and histopathology.

There has been an increase in the use of AI in HNC research since 2016 and indicated a notable disparity in publication quantity between high-income and low/middle-income countries. Future research should prioritize clinical validation and standardization to facilitate the integration of AI in HNC management, particularly in underrepresented regions.

Microplastics (MPs) and nanoplastics (NPs) represent an emerging issue for human and animal health. This review critically examines in vitro and in vivo studies to elucidate their mechanisms of action and toxicological effects. Key objectives included: providing a comprehensive overview of MP-NPs studies in literature, assessing experimental conditions relative to real environmental scenarios, and identifying toxicological pathways at the molecular level. The findings revealed significant progress in understanding MP-NPs impacts. In particular, it has been observed the promotion of inflammation, oxidative stress, apoptosis, autophagy, and endoplasmic reticulum (ER) stress via specific signaling axes. Reproductive toxicity emerged as the primary research focus, particularly in male models, whereas effects on gastrointestinal, neurological, and cardiovascular systems were insufficiently studied, especially for the molecular pathways affected. Most studies disproportionately focused on polystyrene particles, neglecting other prevalent polymers such as polyethylene and polypropylene. Furthermore, reliance on synthetic microspheres and non-realistic experimental concentrations limits relevance to real-world conditions. Limited long-term exposure studies further constrain the understanding of MP-NPs persistence and risks. In view of this, future research should integrate environmentally relevant conditions for particles doses, size and composition, long-term exposure assessments, and advanced methodologies such as omics and computational modeling. In addition, therapeutic interventions targeting oxidative and ER stress, inflammation and apoptosis may be an excellent solution to mitigate MP-NPs toxicity. At the same time, a standardized global approach is needed to fully understand the risks posed by MP-NPs, attempting to safeguard public and environmental health.

Diabetes Mellitus, characterized by insufficient insulin secretion, pancreatic beta cell damage, or insulin resistance, is the third most prevalent chronic metabolic disease worldwide. Polysaccharides, biocompatible natural macromolecules, have garnered significant attention for their potential in modulating diabetes through various mechanisms. Despite extensive studies, a comprehensive and impartial evaluation of anti-diabetic polysaccharides (ATDPs) research is still lacking. This study employs bibliometric and knowledge mapping techniques to analyze research trends and developments concerning ATDPs. A total of 3435 publications from 2001 to 2024 were examined, revealing a marked increase in publication volume and citation frequency, particularly since 2016. Network analysis indicates China as the leading contributor, with the highest number of publications and prominent institutions. The International Journal of Biological Macromolecules is identified as the most prolific journal in this field. Shaoping Nie stands out as a leading researcher with the highest citation frequency and h-index. Current research trends focus on the role of polysaccharides in regulating oxidative stress and inflammation, modulation of gut microbiota, and their structural characterization. Emerging studies investigate how these polysaccharides impact gut microbiota composition, enhance intestinal barrier functions, and modulate immune responses, representing cutting-edge areas in diabetes research. This research pioneers the use of bibliometric analysis to map ATDPs research trajectories, offering valuable insights into prevailing trends, emerging topics, and opportunities for future research and collaboration.

International collaborations in entomological research are crucial for addressing global biodiversity challenges, particularly in the Global South, where much of the world's insect diversity is concentrated. These partnerships enable the sharing of knowledge, resources, and expertise across borders, leading to more comprehensive and impactful research outcomes. For the Global South, equitable collaborations are essential to ensure that local researchers are contributors and equal partners in the research process. Hallmarks of mutual partnerships include co-developing research questions, sharing the benefits of research outcomes, and receiving fair compensation and support. Emphasizing equity in these collaborations helps to address historical imbalances, strengthens local research capacities, and ensures that the perspectives and needs of Global South researchers are fully integrated into the global scientific community. Equitable international collaborations enhance the quality and relevance of entomological research, contributing to better research, monitoring, and conservation worldwide.

Diabetic cardiomyopathy (DCM) is a severe outcome of type 2 diabetes mellitus (T2DM) and a major global health concern. The overall impact of T2DM on the heart is demonstrated by echocardiographic measurements. Exercise helps reduce cardiovascular disease risk and improves glycemic management in T2DM. The objective of the present bibliometric study was to map the research trends on left ventricular dysfunction and exercise among T2DM.

The comprehensive search was conducted in the SCOPUS database, with the keywords "type 2 diabetes", "diabetic cardiomyopathy", "exercise," and "left ventricular function", with BOOLEAN Operators AND, OR. The search period ranged from 1984 to November 2023. The data was exported to VOS Viewer(1.6.20) for analysis.

Sixty-nine documents were retrieved from the database search. A steady rise was observed in the number of documents per year, between 1 and 5. The following countries published the maximum number of documents: the USA, Italy, Australia, and the UK. 79.7% of documents were original articles, 18.8% were reviews, and 1.4% were editorials. Most studies belonged to categories, namely medicine(69.9%), biochemistry(15.1%), pharmacology (8.6%) and health professions (2.2%). The network analysis was performed to explore the association between the studies based on co-authorship, citation analysis, and co-occurrence.

The bibliometric analysis showed the maximum number of publications belonged to high-income countries, with smaller contributions from low-middle-income countries (LMICs), including the Indian subcontinent. There is a need to explore the area of exercise and left ventricular dysfunction in T2DM as exercise can act as a valuable tool in LMICs where the burden of T2DM is increasing.

Sewer-associated rodents inhabiting urban and peri-urban areas constitute a potential infection source for many zoonotic pathogens at a global scale. However, there is a lack of scientific information about the implications of these micromammals in regions with fragile sanitary services, low economic resources and weak educational systems. Consequently, this study aimed to review the scientific knowledge about rodent-borne zoonoses in sewer-related environments from countries with lower Human Development Index (HDI). Our results revealed a low number of publications (n = 13) evaluating the epidemiology of sewer-associated rodents in countries with lower HDI, which were distributed across Central/South America (69.2 %; 9/13), Africa (23.1 %; 3/13) and Asia (7.7 %; 1/13). The most evaluated rodents were Rattus norvegicus -brown rat- (present in 10/13 articles), followed by Rattus rattus -black rat- (6/13) and Mus musculus -house mouse- (5/13). Fourteen zoonotic pathogens were assessed, specifically bacteria (n = 6 publications) and parasites (n = 7), with the highest prevalence described for Bartonella spp. (85.0 %), Calodium hepaticum (83.8 %), Rickettsia spp. (75.0 %), Leptospira spp. (68.0 %) and Hymenolepis nana (60.0 %). Most reviewed publications described the use of molecular methods and direct examination of samples to identify the pathogens studied (46.2 %; 6/13 each), followed by the MALDI-TOF technique (15.4 %; 2/13). The four clusters building the semantic network reinforced the pivotal role of sewer-associated rodents as reservoirs of both vector-borne pathogens and directly transmitted zoonoses. Our findings evidence a severe gap of knowledge in lower-resource areas about the role of sewer-associated rodents in the epidemiology of zoonotic diseases, which could impact on the sanitary system of not only the evaluated countries, but also in other developed and non-developed regions worldwide.

Breastfeeding is the most cost-effective intervention for reducing infant morbidity and mortality, offering benefits for infants and mothers. Despite extensive promotion, global adherence remains below 50 %, resulting in significant clinical, economic, and environmental impacts. Thus, this overview of reviews aims to synthesize barriers and facilitators of breastfeeding, analyze research trends, and identify gaps to guide future research. A comprehensive literature search was conducted, including systematic reviews that examine these factors. The search covered seven electronic data repositories. The methodological quality was assessed using the Risk of Bias in Systematic Reviews tool. Bibliometric analysis focused on identifying top journals, authors, and countries, assessing their impact, and exploring trends over time. Findings were classified and analyzed thematically through line-by-line coding, theme description, and analytical formulation. A total of 123 reviews were included, mostly of high quality and published in top journals. Key trends comprised a growing focus on psychosocial and cultural factors, increased representation from low- and middle-income countries, and improved methodological rigor. However, geographical representation remains biased towards high-income countries, and some breastfeeding outcomes need further exploration. Thematic analysis revealed four categories: Therapeutic and care interventions; Support networks and education; Maternal-infant health issues; and Societal and environmental context. In conclusion, this overview of reviews identifies barriers and facilitators of breastfeeding and emphasizes the need for more inclusive research and tailored support. Addressing gaps in evidence for enhancing healthcare systems and policies can improve breastfeeding practices and outcomes worldwide.

Obesity can directly lead to allodynia, increase the incidence of chronic pain, and aggravate existing pain. However, the mechanisms underlying obesity-related or obesity-induced pain are still not understood. Herein, we performed a comprehensive bibliometric analysis of obesity-related or obesity-induced pain, aiming to analyze the current trends and hot spots as well as explore the underlying mechanisms.

We searched reviews and articles on obesity-related or obesity-induced pain from 2005 to 2024 via the Web of Science Core Collection (WoSCC) database. We subsequently conducted bibliometric analysis employing WPS Office, a web-based bibliometric analysis platform (https://bibliometric.com), VOSviewer, Pajek, and CiteSpace.

In total, 347 papers were identified for bibliometric analysis. The country, institution, and journal with the greatest influence were the USA, Albert Einstein College of Medicine, and Headache, respectively. Dr. Lipton RB and Dr. Karppinen J were the top 2 influential authors on the basis of their significant number of publications and citations. The keywords for the latest burst were "inflammation," "risk," "neuropathic pain," "gene-related peptide," "knee osteoarthritis," and "validation." Notably, the article titled "The association between chronic obesity and pain" by Okifuji A received the highest number of citations as well as the strongest citation burst. He and colleagues noted a significant correlation between obesity and pain in terms of clinical manifestations, but this connection is indirect and is modulated by certain biomechanical and structural alterations linked to obesity, inflammatory agents, mood disorders, sleep disturbances, and lifestyles.

There has been a notable surge in the number of articles published in the last two decades. The investigation into neuroendocrine and neuroimmune mechanisms underlying obesity-related or obesity-induced pain is expected to be a hot spot in the coming years. A potential strategy for treating chronic obesity and pain should pay attention to particular endocrine regulators, inflammatory cytokines, or immune cells that serve as central elements or crucial signaling pathways within this regulatory system.

Medical ozone is a molecule composed of three oxygen atoms with anti-inflammatory, analgesic, and antioxidant functions. Ozone therapy (O 3 or O 2 - O 3 ) for knee osteoarthritis has gradually received increasing attention from researchers in recent years. Here, we discuss the research hotspots and development trends of ozone therapy for knee osteoarthritis through literature visualization and analysis. (1) From 2012 to the present, the overall trend of publications on ozone treatment for knee osteoarthritis has been increasing annually, and it has received widespread attention, especially in Iran and China. (2) Keyword analysis revealed that the keywords with the greatest number of citations for ozone treatment of knee osteoarthritis are "osteoarthritis," "ozone," "knee osteoarthritis," "ozone therapy," and "hyaluronic acid." (3) The results of the cocitation analysis revealed that the themes of the cocited literature are concentrated in 11 directions: intra-articular injections, intra-articular oxygen ozone, treatment of knee osteoarthritis, rehabilitation studies, time effects, pain function, comprehensive review, growth factors, rheumatic diseases, ultrasound-guided corticosteroid injections, and placebo. (4) The hotspots of the available highly cited literature have focused mainly on the efficacy and safety of ozone or growth factors alone in the treatment of knee osteoarthritis. Most of the literature suggests that intra-articular injections are the most common form of ozone therapy, and the accuracy and safety of ozone injections can be ensured using ultrasound-guided techniques. Ozone therapy has a positive short-term effect on pain control and functional recovery within 6 months after injection, but how to maintain the long-term efficacy of ozone therapy has rarely been described. It is hypothesized that the combination of ozone and growth factors may be beneficial for prolonging the efficacy of ozone therapy. (5) Ozone therapy has no advantages over other therapies in terms of therapeutic efficacy. Compared with ozone therapy, platelet-rich plasma and growth factor-rich plasma have better long-term outcomes in the treatment of knee osteoarthritis, whereas stromal vascular components have the best effects on pain relief and functional improvement. Few studies address the combination of ozone and growth factors for the treatment of knee osteoarthritis, and a few clinical studies registered have explored other treatments (e.g., corticosteroids). (6) Future studies could further explore the specific mechanisms and optimal dosing regimens of ozone combined with different growth factors in the treatment of knee osteoarthritis to compensate for the short-term efficacy of ozone therapy and to validate the long-term efficacy and safety of this combination therapy. It is also imperative to develop international guidelines for ozone therapy for osteoarthritis of the knee as soon as possible.

Suicide risk among children and adolescents continues to rise, yet critical trends and research gaps in suicide risk assessment remain unexamined. This study aimed to analyze global research trends on suicide risk assessment in children and adolescents using Scopus-indexed literature from 1984 to 2024. VOSviewer was used to visualize keyword co-occurrence and thematic trends. Bibliometric data were extracted from abstracts, including publication volume, citation counts, and author productivity. The search strategy identified 1195 articles, with 259 meeting the inclusion criteria. Publications grew annually by 7.78 %, with contributions from 1243 unique authors and an average document age of 9.22 years. The United States was the leading contributor, followed by China, Spain, and the United Kingdom. The Journal of Affective Disorders is the one with the highest number of publications on network analysis in suicide risk assessment, followed by the Journal of Archives of Suicide Research and Psychiatry Research. Most documents were articles (236), with few reviews (15). Key research areas included suicidal ideation, psychometric evaluations, and stress markers. However, critical gaps persist, particularly in developing culturally sensitive assessment tools, integrating biological and psychosocial risk factors, and expanding research in low- and middle-income countries. Most assessment tools are developed in Western settings, limiting cross-cultural applicability. Given the role of sociocultural factors in suicidal behaviors, future research should prioritize culturally adapted assessment methods and validate self-report tools in diverse populations. Addressing these gaps is essential for improving global suicide prevention strategies.

This article highlights recurrent themes and research communities in Sustainability Assessment (SA), a rapidly growing trans-disciplinary area particularly relevant to the global evaluation community. This bibliometric analysis signals the emergence of a substantial research community based in Asia and the Middle East, whose production is distinct from North American and European-centric evaluation studies. While the latter primarily address methodological challenges related to sustainability issues in social policy, organizational capacity building, and public health, the broader SA literature centers on life-cycle assessments to integrate the analysis of environmental and socioeconomic effects in such domains as biodiversity, energy efficiency, urban planning, alternative agriculture, and supply chain management. This mapping exercise highlights the global distribution of research output and identifies existing gaps and potential future cross-fertilization. The transdisciplinary SA literature can draw from theory-based designs attuned to complexity and systems thinking. Policy analysts and evaluators can gain insights from diverse SA perspectives and policy approaches to tackle sustainability challenges more systematically.

Cardiovascular diseases caused by atherosclerosis (AS) are the leading causes of disability and death worldwide. Apolipoprotein B (ApoB), the core protein of low-density lipoproteins, is a major contributor to cardiovascular disease-related morbidity and mortality, with apolipoprotein B (ApoB) playing a critical role in its pathogenesis. However, no bibliometric studies on the involvement of ApoB in AS have been published. This study aimed to conduct a comprehensive bibliometric analysis to explore the current and future trends regarding the role of ApoB in AS.

Utilizing the Web of Science Core Collection, a thorough search was conducted for ApoB in AS-related papers related to research on ApoB in the field of AS during 1991-2023. The analysis focused on annual publication trends, leading countries/regions and institutions, influential authors, journal and key journals. CiteSpace and VOSviewer were employed to visualize reference co-citations, and keyword co-occurrences, offering insights into the research landscape and emerging trends.

This bibliometric analysis employed network diagrams for cluster analysis of a total of 2105 articles and reviews, evidencing a discernible upward trend in annual publication volume. This corpus of research emanates from 76 countries/regions and 2343 organizations, illustrating the widespread international engagement in ApoB-related AS studies. Notably, the United States and the University of California emerge as the most prolific contributors, which underscores their pivotal roles in advancing this research domain. The thematic investigation has increasingly focused on elucidating the mechanistic involvement of ApoB in atherosclerosis, its potential as a diagnostic biomarker, and its implications for therapeutic strategies.

This bibliometric analysis provides the first comprehensive perspective on the evolving promise of ApoB in AS-related research, emphasizing the importance of this molecule in opening up new diagnostic and therapeutic avenues. This study emphasizes the need for continued research and interdisciplinary efforts to strengthen the fight against AS. Furthermore, it emphasizes the critical role of international collaboration and interdisciplinary exploration in leveraging new insights to achieve clinical breakthroughs, thereby addressing the complexities of AS by focusing on ApoB.

This review systematically examined the effects of lipids on beef flavor, based on studies published over the past 20 years, focusing on the intrinsic factors that influence flavor. Research shows that enhancing beefy and roasted aromas can improve consumer preference, while undesirable oxidized and metallic aromas reduce acceptance. Key volatile organic compounds (VOCs) associated with flavor include several aldehydes (hexanal, nonanal, decanal, octanal, heptanal, pentanal, and (E,E)-2,4-decadienal), alcohols (1-octen-3-ol and 1-hexanol), 2-heptanone, 2-pentylfuran, and nitrogen- and sulfur-containing compounds (pyrazines and dimethyl sulfides). Fatty acids such as C18:1n9 and C18:2n6 and intramuscular fat significantly contribute to forming overall VOCs to develop the distinct beef flavor. Storage conditions such as high‑oxygen environments can facilitate lipid oxidation, resulting in off-flavors. Consequently, beef flavor develops through complex interactions between lipid properties and chemical reactions during storage and heating, with moderate oxidation playing a key role in developing desirable flavors.

The utilization of xanthan gum in food packaging has garnered significant attention due to its unique physicochemical properties and environmental benefits. This review aims to provide a comprehensive synthesis of recent advances in the application of xanthan gum as a sustainable packaging material, emphasizing its role in addressing critical challenges. Specifically, the review highlights the functional attributes of xanthan gum, such as its mechanical properties, barrier properties, antimicrobial properties, and biodegradability. Moreover, the discussion extends to the integration of xanthan gum with active and intelligent packaging technologies, showcasing its potential to enhance food quality and shelf-life. By critically evaluating existing studies, this article identifies key limitations and gaps in the current body of knowledge, while proposing future research directions to optimize xanthan gum-based packaging systems. This review not only underscores the innovative applications of xanthan gum in the packaging industry but also provides insights for researchers and practitioners aiming to develop environmentally friendly and efficient food packaging solutions.

Understanding the intricate relationship between circadian rhythms and depression is crucial for developing effective interventions and treatments for individuals affected by depression. Circadian rhythms regulate various physiological and behavioral processes, while depression manifests as persistent feelings of sadness and disturbances in sleep, appetite, and energy levels. Emerging research suggests a significant interplay between circadian rhythm disruption and depression, highlighting the need for comprehensive analysis in this area.

A bibliometric and visual analysis of literature on circadian rhythms in depression from 2004 to 2024 was conducted using the Web of Science Core Collection. Data were analyzed using bibliometric tools including VOSviewer, CiteSpace, and Bibliometrix to identify publication trends, geographical distribution, authorship patterns, institutional collaborations, journal preferences, keyword co-occurrence, and highly cited references.

Analysis revealed a steady increase in publications and citations related to circadian rhythms in depression. The United States emerged as the leading contributor, with strong global collaborations. Key journals included Chronobiology International and Journal of Affective Disorders. Top keywords included circadian rhythm, depression, sleep, melatonin, and bipolar disorder. The most cited article is a review titled "Practice parameters for the indications for polysomnography and related procedures: An update for 2005".

This study offers a comprehensive overview of research on circadian rhythms in depression, highlighting key trends, contributors, and interdisciplinary intersections.

To assess the publications' bibliographic features and look into how the advancement of artificial intelligence (AI) and its subfields in radiomics has affected the growth of oncology.

The researchers conducted a search in the Web of Science (WoS) for scientific publications in cancer pertaining to AI and radiomics, published in English from 1 January 2015 to 31 December 2024.The research included a scientometric methodology and comprehensive data analysis utilising scientific visualization tools, including the Bibliometrix R software package, VOSviewer, and CiteSpace. Bibliometric techniques utilised were co-authorship, co-citation, co-occurrence, citation burst, and performance Analysis.

The final study encompassed 4,127 publications authored by 5,026 individuals and published across 597 journals. China (2087;50.57%) and USA (850;20.6%) were the two most productive countries. The authors with the highest publication counts were Tian Jie (60) and Cuocolo Renato (30). Fudan University (169;4.09%) and Sun Yat-sen University (162;3.93%) were the most active institutions. The foremost journals were Frontiers in Oncology and Cancer. The predominant author keywords were radiomics, artificial intelligence, and oncology research.

Investigations into the integration of AI with radiomics in oncology remain nascent, with numerous studies concentrating on biology, diagnosis, treatment, and cancer risk evaluation.

Ovarian cancer (OC) is a common malignant tumor in women, with poor prognosis and high mortality rates. Early diagnosis, screening, and prognostic prediction of OC have long been focal points and challenges in this field. In recent years, machine learning (ML) has gradually demonstrated its unique advantages in the early diagnosis, screening, and prognostic prediction of tumors, including OC.This study aims to analyze global development trends and research hotspots in the application of ML for OC, thereby providing a reference for future research directions.

We searched the Web of Science Core Collection (WoSCC) for all publications related to OC and ML from 2004 to 2024, conducting a quantitative analysis using VOSviewer, R software, and CiteSpace.

A total of 777 articles were retrieved.The number of publications related to ML and OC has grown continuously over the past 20 years.China led with 254 articles.The most prominent journals include Gynecologic Oncology, Nature, Clinical Cancer Research, Cancer Research, and Journal of Clinical Oncology.Research hotspots are: (a) ML-driven OC biomarker discovery and personalized treatment; (b) ML in tumor microenvironment analysis and resistance prediction; (c) ML in imaging-based diagnosis and risk stratification; (d) ML in multicenter OC studies.

ML in OC is currently in a developmental phase and shows promising potential for the future. This study provides researchers and clinicians with a more systematic understanding of research priorities and forthcoming developments in this area.

There is increasing interest in repurposing by-products and residues from agricultural and agri-food industries, supporting environmental, social, and economic sustainability. Wineries and distilleries, an important segment of EU agriculture, generate substantial levels of waste annually with grape marc, a significant by-product of these industries, representing both an environmental challenge and an untapped resource. To achieve the sector's 2050 zero-waste vision, innovative waste management strategies are crucial. This review aims to explore the potential of grape marc as a natural source of high-value compounds and its conversion into a portfolio of high-value added bio-based products. The review discusses grape marc generation and the associated waste management challenges within the wine and distillery industries. It highlights innovative biological, thermal, and chemical conversion strategies for turning grape marc into high-value products. Additionally, it provides an overview of the main components of grape marc and explores its wide range of alternative applications, with particular emphasis placed on nutraceuticals, functional food and feed, biofuels, biomaterials, and agricultural amendments. In addition, the study highlights the integration of grape marc into a fungal-based biorefinery system, as promising upcycling strategy to drive innovation in the development of bio-based products, enabling a transformative waste-to-resource pathway. The findings support the advancement of innovative and feasible valorization models, contributing to sustainable waste management practices within circular economy framework.

Endometrial cancer (EC) is a common gynecological malignancy with increasing incidence, especially in developed nations. Understanding genetic variations, particularly single nucleotide polymorphisms (SNPs), is crucial for uncovering the disease's pathogenesis, progression, and treatment responses. This study explores the global research landscape of SNPs in EC, focusing on field evolution, key contributors, and emerging trends.

A systematic search of the Web of Science Core Collection (WoSCC) retrieved 838 publications on SNPs in EC from 1991 to 2024. Bibliometric indicators, including publication volume, citation counts, and keyword occurrences, were analyzed using VOSviewer, CiteSpace, and the R package "bibliometrix" for visual mapping and trend analysis.

The United States (230 publications) and China (182 publications) were leaders in research output. Harvard University and the National Cancer Institute were prominent contributors. Key themes included "microsatellite instability" (a hallmark of DNA mismatch repair deficiency) and "genome-wide association studies" (GWAS), identifying susceptibility loci like HNF1B and CYP19A1. Recent trends, such as "Mendelian randomization," have enhanced causal inference in risk factor studies. SNP research has advanced risk prediction models and personalized therapeutic strategies, such as hormone therapy tailored to genetic profiles.

SNP research has deepened our understanding of EC's genetic basis, with a growing emphasis on Mendelian randomization and GWAS. These advancements have refined risk prediction and opened new avenues for personalized medicine. Integrating SNP data with environmental and hormonal factors remains crucial for advancing prevention, diagnosis, and treatment strategies in EC.

Bibliometrics has become a crucial tool for evaluating and analyzing researchers' output. In recent decades, zebrafish has demonstrated its potential for studying oxidative stress, and the use of medicinal plants has proven essential in this context, as they are endowed with bioactive compounds that possess antioxidant properties. Thus, the aim of this study was to conduct a bibliometric review to analyze the evolution of publications concerning the concepts of "zebrafish" and "bioactive compounds." The Web of Science (WoS) database was utilized. Data on authors, countries, most cited journals, co-authorship between countries and authors, co-occurrence of keywords, keyword co-occurrence by publication year, and co-citation of references were analyzed using VOSviewer software. A total of 170 documents were retrieved, spanning the years 2004 to 2024. Jean Luc Wolfender, the United States, and PLoS One were prominent among the authors, countries, and journals with the highest citations, respectively. Among the co-occurrence of keywords, the following were noteworthy: zebrafish (n = 60), bioactive compounds (n = 12), angiogenesis (n = 9), antioxidant (n = 8), oxidative stress (n = 8), apoptosis (n = 7), antioxidant activity (n = 7), and toxicity (n = 7). It was concluded that the highest number of published documents was observed in 2022. Moreover, from 2018 onward, there has been an increase in research using the zebrafish model and bioactive compounds, highlighting the field of Pharmacy/Pharmacology in the development of new drugs, with a strong emphasis on the use of medicinal plants.

Microneedles can physically penetrate the stratum corneum, creating micropores on the skin, and allowing for drug delivery through direct diffusion, injection, or other methods. As a novel drug delivery method, it possesses significant application potential. This study uses bibliometric analysis to explore the research hotspots and development trends of microneedle-mediated drug delivery.

Relevant research articles on microneedle-mediated drug delivery published between 1998 and 2024 in the Web of Science Core Collection (WoSCC) database were retrieved. Data analysis and visualization were performed using VOSviewer, CiteSpace, Scimago Graphica, and Pajek, enabling the prediction of research trends in microneedle-mediated drug delivery.

In general, research on microneedle-mediated drug delivery has shown a continuous increase. China and the United States are the leading countries in this field of study. Notably, Ryan F. Donnelly (n=224) is the most prominent contributor to this field. The current core research directions include: disease treatment, enhancement of transdermal absorption performance of microneedles, vaccine delivery, and new materials and technologies for microneedle manufacturing.

Microneedle-mediated drug delivery, as a novel technology and method, holds significant research value and application potential. However, further strengthening of international collaboration and the clinical translation of research findings are needed.

Corneal esthesiometry plays a key role in assessing the integrity of the ocular surface. Its importance lies in the fact that several eye and systemic conditions can alter the corneal sensitivity. This is evidenced by the emergence of new devices to measure this parameter in recent years.

Publications found in Web of Science and Scopus databases from 2000 to 2024 were analyzed. Microsoft Excel, Rayyan, and VOSviewer software were used.

A total of 556 articles were included in the study. Andrew JM Boulton had the greatest impact, with the highest h-index. The Centre for Contact Lens Research, School of Optometry, University of Waterloo (Canada), was the most prolific institution, with 25 articles published. The United States led the ranking of countries, with 81 publications. Six keyword clusters were identified, encompassing neurophysiology, dry eye, ocular pathology, diabetic neuropathy, structural nerve assessment, and refractive surgery.

This study reports on who, why, how many, and where corneal esthesiometry has been studied, through a bibliometric analysis. The studies centered on sensory physiology, ocular surface disease, and dry eye disease. These emerging trends highlight new clinical, diagnostic, and research perspectives, which may guide future investigations and contribute to more precise strategies for the treatment of ocular surface conditions.

Workplace violence against health care workers is a widespread global issue, particularly in emergency departments. This study aimed to identify and visualize research on workplace violence in the emergency department and reveal global trends in this field.

Publications related to workplace violence in the emergency department were retrieved from the Web of Science Core Collection database. VOSviewer, CiteSpace, and Scimago Graphica were used for bibliometric analysis and visualization.

A total of 348 articles were selected for this study. These articles were published across 50 countries from November 1, 1988 to December 31, 2024, with the United States, Australia, and China leading in publication output. These articles were featured in 142 journals, with the Journal of Emergency Nursing publishing the most (n = 33). Gillespie is both the most prolific author and among the most frequently cited in this field. Keyword clustering analysis identified 4 distinct research themes, including factors associated with the occurrence of violence, prevention strategies for workplace violence, its psychological and occupational impacts on emergency department staff, and different forms of violence. In addition, keyword burst analysis revealed emerging trend topics, notably "COVID-19," "experience," and "qualitative research."

Despite a growing body of research on workplace violence in the emergency department in recent years, incidents of violence continue to arise. This bibliometric study is the first to comprehensively summarize the research developments and trends in this field, identifying research frontiers and hotspots. The findings offer new perspectives on workplace violence in the emergency department and may inform future research on violence prevention strategies.

Today, drug discovery and development is one of the fields where Artificial Intelligence (AI) is used extensively. Therefore, this study aims to systematically analyze the scientific literature on the application of AI in drug discovery and development to understand the evolution, trends, and key contributors within this rapidly growing field. By leveraging various bibliometric indicators and visualization techniques, we seek to explore the growth patterns, influential authors and institutions, collaboration networks, and emerging research trends within this domain. Bibliometric and network analysis methods (co-occurrence, co-authorship, and collaboration, etc.) were used to achieve this goal. Bibliometric visualization tools such as Bibliometrix R package software, VOSviewer, and Litmaps were used for comprehensive data analysis. Scientific publications on AI in drug discovery and development were retrieved from the Web of Science Core Collection (WoS CC) database covering 1990-2023. In addition to visualization programs, the InCites database was also used for analysis and visualization. A total of 4059 scientific publications written by 13,932 authors and published in 1071 journals were included in the analysis. The results reveal that the most prolific authors are Ekins (n = 67), Schneider (n = 52), Hou Tj (n = 43), and Cao Ds (n = 34), while the most active institutions are the "Chinese Academy of Science" and "University of California." The leading scientific journals are "Journal of Chemical Information and Modelling," "Briefings in Bioinformatics," and "Journal of Cheminformatics." The most frequently used author keywords include "protein folding," "QSAR," "gene expression data," "coronavirus," and "genome rearrangement." The average number of citations per scientific publication is 28.62, indicating a high impact of research in this field. A significant increase in publications was observed after 2014, with a peak in 2022, followed by a slight decline. International collaboration accounts for 28.06% of the publications, with the USA and China leading in both productivity and influence. The study also identifies key funding organizations, such as the National Natural Science Foundation of China (NSFC) and the United States Department of Health & Human Services, which have significantly supported advancements in this field. In conclusion, this study highlights the transformative role of AI in drug discovery and development, showcasing its potential to accelerate innovation and improve efficiency. The findings provide valuable insights into the current state of research, emerging trends, and future directions, offering a roadmap for researchers, industry professionals, and policymakers to further explore and leverage AI technologies in this domain.Scientific contributionThis study provides a comprehensive bibliometric analysis of 4,059 scientific publications (1990-2023) to map the evolution, trends, and key contributors in AI-driven drug discovery, identifying prolific authors (e.g., Ekins, Schneider), leading institutions (e.g., Chinese Academy of Sciences, University of California), and high-impact journals (Journal of Chemical Information and Modelling). It reveals critical collaboration patterns (28.06% international co-authorships), dominant funding sources (e.g., NSFC, NIH), and emerging research hotspots (e.g., protein folding, QSAR, coronavirus), while highlighting the transformative role of deep learning post-2014. By synthesizing these insights, the study offers a strategic roadmap for researchers and policymakers to optimize AI applications in drug development, addressing both current challenges and future opportunities in the field.

Nucleic acid probes, which are short sequences of nucleic acids designed to complement specific DNA or RNA targets, have broad applications in biosensing, genetic studies, and various other fields. In tumor diagnosis and treatment, nucleic acid probes offer a precise and accessible approach that is essential for improving patient care and quality of life. Despite substantial research on nucleic acid probes over the past three decades, few comprehensive reviews have retrospectively examined the field.

This study extracted 30 years of nucleic acid probe-related research articles from the Web of Science Core Collection database. We used CiteSpace, VOSviewer, and R tools to systematically analyze the field's current status and developmental trends, with an emphasis on applications in oncology.

Our findings indicate a continuous growth trend in nucleic acid probe research, with the United States and China, along with their leading institutions and authors, making the most significant contributions. In oncology specifically, nucleic acid probe research has focused primarily on signal amplification, liquid biopsy, and drug delivery. The emergence of novel biomarkers and assay techniques has been a pivotal factor driving advancements in this field.

Nucleic acid probes show strong potential for applications in tumor precise diagnosis and treatment. Continued innovation and closer interdisciplinary collaboration will be vital for further advancements, while large-scale clinical studies are needed to validate their clinical utility.