Traditional herbal medicine for obesity-related polycystic ovary syndrome: a meta-analysis and data mining study

Authors

Guohua Wang (ORCID: https://orcid.org/0000-0003-0182-9868)
Ying Pang (ORCID: https://orcid.org/0000-0002-6740-6246)
Haijuan Liu
Zi Wang (ORCID: https://orcid.org/0000-0002-3953-0493)
Lei Tang
Tianyao Lv

Institutions

China National Nuclear Corporation (CN)
Beijing University of Chinese Medicine (CN)
Peking University (CN)
Peking University Third Hospital (CN)
Community Health Center (US)

Publication Details

Journal: Frontiers in Pharmacology
Published: 2026-01-20
DOI: https://doi.org/10.3389/fphar.2025.1738172
Primary Topic: Ovarian function and disorders
Type: article
Field-Weighted Citation Impact: 0.00

Funders

Beijing University of Chinese Medicine

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article

Traditional herbal medicine for obesity-related polycystic ovary syndrome: a meta-analysis and data mining study

Guohua Wang, Ying Pang, Haijuan Liu, Zi Wang et al.

Jan 20, 2026

Frontiers in Pharmacology

Ovarian function and disorders

article

Traditional herbal medicine for obesity-related polycystic ovary syndrome: a meta-analysis and data mining study

Guohua Wang, Ying Pang, Haijuan Liu, Zi Wang, Lei Tang, Tianyao Lv

January 20, 2026article en

Abstract

No abstract available for this paper.

Frontiers in PharmacologyVol. 16

China National Nuclear Corporation (CN), Beijing University of Chinese Medicine (CN), Peking University (CN), Peking University Third Hospital (CN), Community Health Center (US)

Beijing University of Chinese Medicine

Good health and well-being

Openalex Percentile: Top 84%

Ovarian function and disorders

DOI Open Access PDF OpenAlex

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