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Bibliometric Analysis of Global Research on Tumor Dormancy

Yuzhe Zhang, Yuzhe Zhang, Lirong Yan, Zhongqing Wang, Fang Li, Jinqi Lv, Jiaqing Liu, Xuqin Liu, Li Bao, Ye Zhang, Ye Zhang

2023Cancers10 citationsDOIOpen Access PDF

Abstract

Tumor dormancy continues to be a research hotspot with numerous pressing problems that need to be solved. The goal of this study is to perform a bibliometric analysis of pertinent articles published in the twenty-first century. We concentrate on significant keywords, nations, authors, affiliations, journals, and literature in the field of tumor dormancy, which will help researchers to review the results that have been achieved and better understand the directions of future research. We retrieved research articles on tumor dormancy from the Web of Science Core Collection. This study made use of the visualization tools VOSviewer, CiteSpace, and Scimago Graphica, as visualization helps us to uncover the intrinsic connections between information. Research on tumor dormancy has been growing in the 21st century, especially from 2015 to the present. The United States is a leader in many aspects of this research area, such as in the number of publications, the number of partners, the most productive institutions, and the authors working in this field. Harvard University is the institution with the highest number of publications, and Aguirre-Ghiso, Julio A. is the author with the highest number of publications and citations. The keywords that emerged after 2017 were "early dissemination", "inhibition", "mechanism", "bone metastasis", and "promotion". We believe that research on tumor dormancy mechanisms and therapy has been, and will continue to be, a major area of interest. The exploration of the tumor dormancy microenvironment and immunotherapeutic treatments for tumor dormancy is likely to represent the most popular future research topics.

Topics & Concepts

DormancyLibrary scienceWeb of scienceCitationData sciencePolitical scienceComputer scienceMEDLINEBiologyGerminationBotanyLawCancer Genomics and DiagnosticsRadiomics and Machine Learning in Medical ImagingCancer Cells and Metastasis
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