Evidence map›Paper›PMID 42083538›Full record

ReviewEndocrine, metabolic & immune disorders drug targets2026

Research Hotspots and Emerging Frontiers in Ovarian Aging: A Bibliometric Analysis (2006-2025).

Qingquan Gong, Wenhong Ma, Chao Yang, Dingyu Liang, Yifu Wang, Yihua Yang, Mingyou Dong

Abstract readReview
In one paragraph

Review in Endocrine, metabolic & immune disorders drug targets, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Qingquan GongGuangxi Reproductive Medical Center, the First Affiliated Hospital of Guangxi Medical University, Nanning, 530021 China.
Wenhong MaGuangxi Reproductive Medical Center, the First Affiliated Hospital of Guangxi Medical University, Nanning, 530021 China.
Chao YangGuangxi Reproductive Medical Center, the First Affiliated Hospital of Guangxi Medical University, Nanning, 530021 China.
Dingyu LiangGuangxi Reproductive Medical Center, the First Affiliated Hospital of Guangxi Medical University, Nanning, 530021 China.
Yifu WangGuangxi Reproductive Medical Center, the First Affiliated Hospital of Guangxi Medical University, Nanning, 530021 China.
Yihua YangGuangxi Reproductive Medical Center, the First Affiliated Hospital of Guangxi Medical University, Nanning, 530021 China.
Mingyou DongGuangxi Reproductive Medical Center, the First Affiliated Hospital of Guangxi Medical University, Nanning, 530021 China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionOvarian aging has a critical impact on women's fertility and overall health. This study uses bibliometric methods to analyze the current state of research in the field of natural ovarian aging and to identify emerging trends.

methodsThis study analyzed 653 publications from the Web of Science Core Collection (2006-2025). Using VOSviewer and CiteSpace software, the authors visualized collaboration networks and identified research hotspots through co-occurrence and co-citation analyses.

resultsAnnual publications in the field of natural ovarian aging showed a significant upward trend; China and the United States were the main contributors to this research area. Huazhong University of Science and Technology and Nanjing Medical University were among the institutions with the highest number of publications. Wang SX was the author with the most publications, while Broekmans FJ was the most cited scholar. Human Reproduction was a core journal in this field. Keyword co-occurrence and reference co-citation analyses indicated that mitochondrial dysfunction, cellular senescence, inflammation, fibrosis, and multi-omics research were the research hotspots and frontiers during the study period. DISCUSSION: The surge in keywords and citations suggests that the field is undergoing a fundamental shift from clinical phenotype studies to the exploration of molecular mechanisms. Findings in hotspot areas such as fibrosis and senescent cell clearance provide potential therapeutic targets for future clinical translation.

conclusionThis study employs bibliometric methods to map the current state of research, core themes, and emerging frontiers in the field of natural ovarian aging. The results offer researchers valuable insights into understanding the development trends in this field and guiding future research.

Indexed as

AgingBibliometricsBiomedical ResearchOvaryAnimalsCellular SenescenceFemaleHumansbibliometric analysiscellular senescencefibrosisinflammationmitochondrial dysfunctionmulti-omicsOvarian Aging

Identifiers

PMID42083538
PMCPMC13595331

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.