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For: Zhu X, Hu J, Deng S, Tan Y, Qiu C, Zhang M, Ni X, Lu H, Wang Z, Li L, Chen H, Huang S, Xiao T, Shang D, Wen Y. Bibliometric and Visual Analysis of Research on the Links Between the Gut Microbiota and Depression From 1999 to 2019. Front Psychiatry 2020;11:587670. [PMID: 33488420 DOI: 10.3389/fpsyt.2020.587670] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
Number Citing Articles
1 Mu F, Tang M, Guan Y, Lin R, Zhao M, Zhao J, Huang S, Zhang H, Wang J, Tang H. Knowledge Mapping of the Links Between the Gut Microbiota and Heart Failure: A Scientometric Investigation (2006–2021). Front Cardiovasc Med 2022;9:882660. [DOI: 10.3389/fcvm.2022.882660] [Reference Citation Analysis]
2 Zou X, Sun Y. Bibliometrics Analysis of the Research Status and Trends of the Association Between Depression and Insulin From 2010 to 2020. Front Psychiatry 2021;12:683474. [PMID: 34366917 DOI: 10.3389/fpsyt.2021.683474] [Reference Citation Analysis]
3 Zhu X, Hu J, Deng S, Tan Y, Qiu C, Zhang M, Ni X, Lu H, Wang Z, Li L, Luo Y, Huang S, Xiao T, Liu S, Li X, Shang D, Wen Y. Comprehensive Bibliometric Analysis of the Kynurenine Pathway in Mood Disorders: Focus on Gut Microbiota Research. Front Pharmacol 2021;12:687757. [PMID: 34239441 DOI: 10.3389/fphar.2021.687757] [Reference Citation Analysis]
4 Zhu X, Huang J, Huang S, Wen Y, Lan X, Wang X, Lu C, Wang Z, Fan N, Shang D. Combining Metabolomics and Interpretable Machine Learning to Reveal Plasma Metabolic Profiling and Biological Correlates of Alcohol-Dependent Inpatients: What About Tryptophan Metabolism Regulation? Front Mol Biosci 2021;8:760669. [PMID: 34859050 DOI: 10.3389/fmolb.2021.760669] [Reference Citation Analysis]
5 Lucidi L, Pettorruso M, Vellante F, Di Carlo F, Ceci F, Santovito MC, Di Muzio I, Fornaro M, Ventriglio A, Tomasetti C, Valchera A, Gentile A, Kim YK, Martinotti G, Fraticelli S, Di Giannantonio M, De Berardis D. Gut Microbiota and Bipolar Disorder: An Overview on a Novel Biomarker for Diagnosis and Treatment. Int J Mol Sci 2021;22:3723. [PMID: 33918462 DOI: 10.3390/ijms22073723] [Reference Citation Analysis]
6 Liu Y, Zhang Y, Chen D, Fu Y. Current Status of and Global Trends in Platelet Transfusion Refractoriness From 2004 to 2021: A Bibliometric Analysis. Front Med 2022;9:873500. [DOI: 10.3389/fmed.2022.873500] [Reference Citation Analysis]
7 Yu H, Wang Q, Wu W, Zeng W, Feng Y. Therapeutic Effects of Melatonin on Ocular Diseases: Knowledge Map and Perspective. Front Pharmacol 2021;12:721869. [PMID: 34795578 DOI: 10.3389/fphar.2021.721869] [Reference Citation Analysis]
8 Bai X, Song Z, Zhou Y, Wang X, Wang Y, Zhang D. Bibliometrics and Visual Analysis of the Research Status and Trends of Postpartum Depression From 2000 to 2020. Front Psychol 2021;12:665181. [PMID: 34108920 DOI: 10.3389/fpsyg.2021.665181] [Reference Citation Analysis]
9 Zyoud SH, Al-Jabi SW, Amer R, Shakhshir M, Shahwan M, Jairoun AA, Akkawi M, Abu Taha A. Global research trends on the links between the gut microbiome and cancer: a visualization analysis. J Transl Med 2022;20:83. [PMID: 35148757 DOI: 10.1186/s12967-022-03293-y] [Reference Citation Analysis]
10 Dong X, Tan Y, Zhuang D, Hu T, Zhao M, Corte-real M. Global Characteristics and Trends in Research on Ferroptosis: A Data-Driven Bibliometric Study. Oxidative Medicine and Cellular Longevity 2022;2022:1-12. [DOI: 10.1155/2022/8661864] [Reference Citation Analysis]
11 Jiang H, Li Y, Liu Y, Dong W. Bibliometric analysis of N6-methyladenosine in cancer: landscapes, highlights and trending topics. Future Oncol 2022. [PMID: 35378998 DOI: 10.2217/fon-2022-0086] [Reference Citation Analysis]