Male polycystic ovarian syndrome phenotype: a meta-analysis of endocrine-metabolic dysregulation in fathers and brothers of PCOS-affected women

Authors

Institutions

Publication Details

Journal
Basic and Clinical Andrology
Published
2025-11-16
DOI
https://doi.org/10.1186/s12610-025-00290-1
Primary Topic
Ovarian function and disorders
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Male polycystic ovarian syndrome phenotype: a meta-analysis of endocrine-metabolic dysregulation in fathers and brothers of PCOS-affected women

Ida Mohammadi, Kyana Jafarabady, Fahimeh Ramezani Tehrani, Mahsa Noroozzadeh et al.
Basic and Clinical Andrology
Ovarian function and disorders
article

Male polycystic ovarian syndrome phenotype: a meta-analysis of endocrine-metabolic dysregulation in fathers and brothers of PCOS-affected women

Ida Mohammadi, Kyana Jafarabady, Fahimeh Ramezani Tehrani, Mahsa Noroozzadeh, Shahryar Rajai Firouzabadi, Fateme Mohammadifard, Sana Mohammad Soltani, Amirreza Paksaz
article en

Abstract

No abstract available for this paper.
Basic and Clinical AndrologyVol. 35(1)
Research Institute for Endocrine Sciences (IR), Jahrom University of Medical Sciences (IR), Education & Research Foundation (US), Alborz University of Medical Sciences (IR), Shahid Beheshti University of Medical Sciences (IR)
Shahid Beheshti University of Medical Sciences, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences
Openalex Percentile: Top 56%
Ovarian function and disorders
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.