Visualization analysis of research hotspots and trends on gastrointestinal tumor organoids

doi:10.4251/wjgo.v16.i6.2826

Advanced Search

BPG is committed to discovery and dissemination of knowledge

Home / Archive / Volume 16, Issue 6

This Article

(137)

(0)

(21)

(3798)

(3)

Peer-Review Report of This Article

CrossCheck and Google Search of This Article

Academic Rules and Norms of This Article

Citation of this article

Corresponding Author of This Article

Research Domain of This Article

Article-Type of This Article

Open-Access Policy of This Article

Times Cited Counts in Google of This Article

Journal Information of This Article

Publication Name

World Journal of Gastrointestinal Oncology

ISSN

1948-5204

Publisher of This Article

Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

Scientometrics

World J Gastrointest Oncol. Jun 15, 2024; 16(6): 2826-2841
Published online Jun 15, 2024. doi: 10.4251/wjgo.v16.i6.2826

Full Size Figure Download Figure

Figure 6 Analysis of keywords. A: Tree map of keywords in the study of gastrointestinal tumor organoids; B: The keywords co-occurrence network in the field of gastrointestinal tumor organoids; C: A map of trend topic in the field of gastrointestinal tumor organoids between 2012 and 2023. The size of the circle is positively correlated with its frequency of occurrence.

Citation: Wang G, Liu T, He WT. Visualization analysis of research hotspots and trends on gastrointestinal tumor organoids. World J Gastrointest Oncol 2024; 16(6): 2826-2841
URL: https://www.wjgnet.com/1948-5204/full/v16/i6/2826.htm
DOI: https://dx.doi.org/10.4251/wjgo.v16.i6.2826

Wang G, Liu T, He WT. Visualization analysis of research hotspots and trends on gastrointestinal tumor organoids. World J Gastrointest Oncol 2024; 16(6): 2826-2841 [PMID: 38994154 DOI: 10.4251/wjgo.v16.i6.2826]

All content on this site: Copyright © 1993-2026 Baishideng Publishing Group Inc, its licensors, and contributors. All rights are reserved, including those for text and data mining, AI training, and similar technologies. For all open access content, the relevant licensing terms apply.