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ORIGINAL RESEARCH article

Front. Microbiol.
Sec. Microorganisms in Vertebrate Digestive Systems
Volume 15 - 2024 | doi: 10.3389/fmicb.2024.1479703

Bibliometric Analysis of Research Hotspots and Trends on the relationship Between the Gut Microbiota and Depression From 2020 to 2024

Provisionally accepted
Dingwen Xu Dingwen Xu 1*Zhihua Lu Zhihua Lu 1Xu Zhao Xu Zhao 1Yang Feng Yang Feng 1Shenglu Jiang Shenglu Jiang 2Lingling Zhang Lingling Zhang 2Ting Wang Ting Wang 2Zhenxiong Zhao Zhenxiong Zhao 2
  • 1 Yangzhou Polytechnic Institute, Yangzhou, China
  • 2 Taizhou Central Hospital, Taizhou, China

The final, formatted version of the article will be published soon.

    discussion or summary of the latest advancements and trends in this field.We retrieved research articles focused on gut microbiota and depression through the WOS database from 2020 to 2024, employing visual text analysis tools such as Citespace and VOSviewer.The literature on the relationship between gut microbiota and depression surged from 396 papers in 2020 to 711 by 2024. During this period, the journal with the highest publication rate was Nutrients. China led the countries in contributions, while University College Cork topped the institutions. Kenji Hashimoto emerged as the most prolific author. The most cited paper was authored by Cryan JF et al., published in 2019 in Physiol Rev. The keywords "gut microbiota," "depression," and "anxiety" appeared most frequently, while recent years saw explosive increases in terms like "growth performance," "receptors," "depression-like phenotypes," "stress response," "gastrointestinal symptoms," "reliability," and "neurogenesis."Our article displayed the overview of the relationship between the gut microbiome and depression from 2020 to 2024 using bibliometric methods, providing perspectives and research hotspots for studies exploring the correlation between the gut microbiome and depression.

    Keywords: bibliometric analysis, Gut Microbiota, Depression, publication, Authors

    Received: 12 Aug 2024; Accepted: 14 Oct 2024.

    Copyright: © 2024 Xu, Lu, Zhao, Feng, Jiang, Zhang, Wang and Zhao. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Dingwen Xu, Yangzhou Polytechnic Institute, Yangzhou, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.