Evidence map›Paper›PMID 40128083›Full record

ArticleMedicine2025

The 100 most cited articles in androgenetic alopecia: A bibliometric analysis.

Kinan Sawar, Louie Mekani, Alexander Kallabat, Dylan Kato, Geoffrey A Potts

Abstract read
In one paragraph

Article in Medicine, 2025. 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

5 authors.

Kinan SawarDepartment of Surgery, Section of Plastic Surgery, University of Michigan Medical School, Ann Arbor, MI.ORCID 0000-0003-1407-9306
Louie MekaniWayne State University School of Medicine, Detroit, MI.
Alexander KallabatWayne State University School of Medicine, Detroit, MI.
Dylan KatoWayne State University School of Medicine, Detroit, MI.
Geoffrey A PottsDepartment of Dermatology, Wayne State University, Detroit, MI.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Androgenetic alopecia (AGA) is a condition with a rapidly evolving research landscape. The expanding volume of AGA research necessitates synthesis to identify trends and gaps. Bibliometric analysis can be used to quantify the characteristics of a body of literature, and this technique has not been previously applied to AGA. We aimed to evaluate the bibliometric characteristics of the top 100 most cited AGA articles over the past 50 years. This includes the analysis of contributing authorship, institutional affiliation, journal representation, publication years, citation counts, country productivity, and funding sources, among other characteristics. We used the Web of Science to identify and characterize the 100 most cited AGA publications between 1975 and 2024. A secondary analysis was performed to identify and characterize the top 20 most cited AGA articles from 2020 to 2024. The top 100 articles amassed 24,289 citations. Authors from the United States contributed the most articles (n = 56). The University of Pennsylvania contributed the most articles (n = 11). Dr Elise A Olsen and Dr George Cotsarelis were the most frequent contributors. The Journal of the American Academy of Dermatology published the most number of articles. From 1975 to 2024, most studies primarily discussed pathophysiology (45%) and treatment (35%). However, from 2020 to 2024, 75% of the top articles focused on the treatment options. This bibliometric analysis provides an overview of influential AGA research over the last 50 years, highlighting shifting trends toward treatment optimization and emerging therapies.

Indexed as

AlopeciaBibliometricsAuthorshipBiomedical ResearchHumansPeriodicals as Topic

Identifiers

PMID40128083
PMCPMC11936583

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.