Evidence map›Paper›PMID 41146703›Full record

ArticleBiologics : targets & therapy2025

Irisin Research Landscape (2012-2024): A Bibliometric and Visual Analysis of Evolving Hotspots and Future Trends.

Lijia Gao, Wen Sun, Hongwei Shi, Weijie Zhu, Haidong Wang, Juan Wang

Abstract read
In one paragraph

Article in Biologics : targets & therapy, 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

6 authors.

Lijia Gao *Department of Nephrology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China.ORCID 0009-0000-8410-1914
Wen Sun *Department of Nephrology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China.ORCID 0009-0007-2809-9830
Hongwei ShiCollege of Veterinary Medicine, Shanxi Agricultural University, Jinzhong, People's Republic of China.
Weijie ZhuDepartment of Cardiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China.
Haidong WangCollege of Veterinary Medicine, Shanxi Agricultural University, Jinzhong, People's Republic of China.
Juan WangDepartment of Nephrology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Irisin, an exercise-induced myokine, promotes the browning of white adipose tissue. Over a decade of research has expanded its functions to include the amelioration of metabolic disorders and protection of neural, skeletal, muscular, cardiac, and renal systems. Exogenous administration of irisin has been demonstrated to mimic the beneficial effects of exercise, showing therapeutic potential for a range of conditions including obesity, diabetes, Alzheimer's disease, osteoporosis, sarcopenia, myocardial ischemia, and chronic kidney disease. Irisin emerges as a promising circulating biomarker for assessing health status. By offering a quantitative, data-driven perspective from macro to micro scales, bibliometrics serves as a crucial decision-support tool for irisin research. It facilitates the mapping of the intellectual landscape, pinpoints knowledge gaps and underinvestigated niches, and tracks the temporal evolution of research fronts, thereby guiding future investigative priorities. Patients and Methods: Publications were retrieved from the Web of Science Core Collection (WoSCC) using the search strategy "Topic = irisin", covering the period from its discovery in 2012 to 2024. After applying language (English-only) and type (article/review) filters, VOSviewer, CiteSpace and R package "bibliometrix" was used to conduct the bibliometric analysis. Results: This bibliometric analysis was conducted on a total of 2412 articles sourced from 78 countries. China emerged as the leading contributor, ranking first among the corresponding authors' countries. The primary research institutions identified were the Egyptian Knowledge Bank, Firat University, and Harvard University. The most locally cited authors were Mantzoros CS and Spiegelman BM, while Aydin S was recognized as the most relevant author. The most frequently occurring keywords included "exercise", "obesity", and "FNDC5". The latest trend topics identified were "neuroinflammation", "ferroptosis", "chronic kidney disease", and "cognition". Conclusion: This bibliometric study delineates irisin's emerging clinical translational prospects, thereby providing evidence-based guidance for prioritizing research on irisin's therapeutic targeting and biomarker validation across multidisciplinary clinical contexts.

Indexed as

exerkinesFNDC5irisinmyokinesskeletal muscle

Identifiers

PMID41146703
PMCPMC12554271

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.