Integrating Bibliometrics and Bioinformatics to Map Knowledge Structure, Trends, and Genetic Insights in Polycystic Ovary Syndrome and Tumors (2015–2024)

Integrating Bibliometrics and Bioinformatics to Map Knowledge Structure, Trends, and Genetic Insights in Polycystic Ovary Syndrome and Tumors (2015–2024)

Meng Liu,1 Ying Xiong,2 Shao-Hua Zhang,3 Jun Yuan,4 Zhi-Qiang Cheng1 1National Center for Integrative Medicine, Oncology Department of Integrated Traditional Chinese and Western Medicine, China-Japan Friendship Hospital, Beijing, People’s Republic of China; 2Department of Radiation Oncology, China-J...

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Bibliographic Details
Main Authors: Liu M, Xiong Y, Zhang SH, Yuan J, Cheng ZQ
Format: Article
Language:English
Published: Dove Medical Press 2025-08-01
Series:Journal of Multidisciplinary Healthcare
Subjects:
Polycystic Ovary Syndrome
Cancer
PI3K/AKT Signaling Pathway
Bibliometric analysis
CiteSpace
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Online Access:https://www.dovepress.com/integrating-bibliometrics-and-bioinformatics-to-map-knowledge-structur-peer-reviewed-fulltext-article-JMDH
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