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SYSTEMATIC REVIEW article

Front. Immunol.
Sec. Cancer Immunity and Immunotherapy
Volume 15 - 2024 | doi: 10.3389/fimmu.2024.1497461
This article is part of the Research Topic Community Series in Tumor Microenvironment and Metabolic Reprogramming in Cancer: Volume II View all articles

Current Hotpots and Trends in Cancer Metabolic Reprogramming: A Scientometric Analysis

Provisionally accepted
  • 1 First Hospital, Peking University, Beijing, China
  • 2 TCM and Integrative Medicine Department, Beijing, China
  • 3 Fangshan Hospital, Beijing University of Chinese Medicine, Beijing, China

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

    Background: Metabolic reprogramming (MR) in cancer (CA) has been a focus of intense research in the recent two decades. This phenomenon has attracted great interest because it offers potential targets for cancer therapy. To capture the intellectual landscape of this field, we conducted a bibliometric analysis to assess the scientific output, major contributors, and trends in the MR/CA research.We performed a systematic search using the Web of Science to retrieve articles published on MR of cancer from 2006 until 2023. The bibliometric tools such as Biblioshiny, VOSviewer, and Microsoft Excel were used to identify the most prolific authors, institutions, citation patterns, and keywords. We also used cocitation analysis to map the conceptual structure of the field and identify influential publications. Furthermore, we examined the literature by analyzing publication years, citations, and research impact factors.: A total of 4,465 publications about MR/CA were retrieved. Publications on MR/CA increased rapidly from 2006 to 2023. Frontiers in Oncology published the most papers, while Cell Metabolism had the most citations. Highly cited papers were mainly published in Cancer Cell, Nature, Cell, Science and Cell Metabolism. China and the United States led the way in publications and contributed the most to MR/CA

    Keywords: metabolic reprogramming, Cancer, Bibliometrics, scientometrics, High-cited papers, hotspots

    Received: 17 Sep 2024; Accepted: 18 Oct 2024.

    Copyright: © 2024 Yang, Lin, Hao, YE and Zhang. 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:
    HUI YE, First Hospital, Peking University, Beijing, China
    Xuezhi Zhang, First Hospital, Peking University, Beijing, 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.