Bibliometric analysis of the research on anti-Müllerian hormone and polycystic ovary syndrome: current status, hotspots, and trends DOI Creative Commons

Bingqing Ran,

Cai Liu,

Yajun He

et al.

Frontiers in Reproductive Health, Journal Year: 2025, Volume and Issue: 7

Published: April 24, 2025

Background Polycystic Ovary Syndrome (PCOS) is a common endocrine and metabolic disorder affecting women of reproductive age. Over the past 30 years, significant efforts have been devoted to exploring its various pathogenic mechanisms, physiological pathological characteristics, biomarkers. Among these, Anti-Müllerian Hormone (AMH), as biomarker for PCOS, diagnosing, treating, monitoring. However, individual key information extracted from numerous studies difficult apply in clinical practice. Therefore, this article employs bibliometric analysis summarize current state knowledge offer future perspectives. Methods The Science Citation Index Expanded (SCI-E) within Web Core Collection database has identified material source obtaining articles related AMH PCOS. Software such Origin, Microsoft Excel, Pajek, VOSviewer, CiteSpace were used statistical assessment, evaluating countries, institutions, journals, references, authors, well constructing visual network maps. Results From 1994 2024, total 1,082 included research on number publications field consistently increased, with contributions 70 1,363 5,144 researchers worldwide. them, United States China are two countries highest publications. Zhejiang University, Monash Peking University rank among top three institutions exhibiting explosive citation bursts. author publication volume Didier Dewailly. predictive keywords associated these include “consensus,” “morphology,” “criteria,” “prevalence,” “Müllerian hormone.” Conclusions Through analysis, study primary hotspots PCOS follows: (1) Refining diagnostic criteria by using biomarker; (2) Exploring molecular role pathophysiological processes phenotypes potential therapeutic target; (3) Analyzing impact baseline levels female health other biomarkers; (4) Investigating signalling mechanisms disease progression.

Language: Английский

Bibliometric analysis of the research on anti-Müllerian hormone and polycystic ovary syndrome: current status, hotspots, and trends DOI Creative Commons

Bingqing Ran,

Cai Liu,

Yajun He

et al.

Frontiers in Reproductive Health, Journal Year: 2025, Volume and Issue: 7

Published: April 24, 2025

Background Polycystic Ovary Syndrome (PCOS) is a common endocrine and metabolic disorder affecting women of reproductive age. Over the past 30 years, significant efforts have been devoted to exploring its various pathogenic mechanisms, physiological pathological characteristics, biomarkers. Among these, Anti-Müllerian Hormone (AMH), as biomarker for PCOS, diagnosing, treating, monitoring. However, individual key information extracted from numerous studies difficult apply in clinical practice. Therefore, this article employs bibliometric analysis summarize current state knowledge offer future perspectives. Methods The Science Citation Index Expanded (SCI-E) within Web Core Collection database has identified material source obtaining articles related AMH PCOS. Software such Origin, Microsoft Excel, Pajek, VOSviewer, CiteSpace were used statistical assessment, evaluating countries, institutions, journals, references, authors, well constructing visual network maps. Results From 1994 2024, total 1,082 included research on number publications field consistently increased, with contributions 70 1,363 5,144 researchers worldwide. them, United States China are two countries highest publications. Zhejiang University, Monash Peking University rank among top three institutions exhibiting explosive citation bursts. author publication volume Didier Dewailly. predictive keywords associated these include “consensus,” “morphology,” “criteria,” “prevalence,” “Müllerian hormone.” Conclusions Through analysis, study primary hotspots PCOS follows: (1) Refining diagnostic criteria by using biomarker; (2) Exploring molecular role pathophysiological processes phenotypes potential therapeutic target; (3) Analyzing impact baseline levels female health other biomarkers; (4) Investigating signalling mechanisms disease progression.

Language: Английский

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