Evidence map›Paper›PMID 41925977›Full record

ArticleDiscover oncology2026

A bibliometric analysis of trends and hotspots in Oncostatin M.

Yixuan Ning, Yanqiu Liu, Qingqing Du

Abstract read
In one paragraph

Article in Discover oncology, 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

3 authors.

Yixuan NingDepartment of Pharmacy, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Yanqiu LiuDepartment of Pharmacy, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Qingqing DuDepartment of Pharmacy, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China. Dorothydu@hospital.cqmu.edu.cn.

Funding

Natural Science Foundation of Chongqing CSTC2021JCYJ-MSXMX0218
6 · The paper itself

Abstract

backgroundOncostatin M (OSM) belongs to the interleukin-6 (IL-6) cytokine family, with diverse physiological effects impacting various diseases. Despite substantial research on OSM, a systematic overview of the field’s current landscape and evolving trends remains limited. This study aims to objectively analyze the research status and trends in OSM using bibliometric applications, providing insights into the field’s evolution and future directions.

methodPublications were retrieved from the Web of Science Core Collection database (WOSCC) for the period from January 1, 1999, to February 3, 2026. VOSviewer, CiteSpace, and the R package “bibliometrix” were used to generate a visual knowledge map and conduct bibliometric analysis.

resultOur search yielded 811 publications (773 articles and 38 reviews). These involved 4578 authors from 995 institutions across 51 countries/regions. China (159 publications, 0.03 centrality) and the United States (157 publications, 0.55 centrality) are the most pivotal countries. INSERM contributed the most publications (n = 74). Among authors, Richards, C D had the most publications (n = 34) and co-citations (n = 18990), indicating his significant contributions. Keyword analysis revealed that OSM research primarily related to disease such as tumor, inflammatory bowel disease (IBD), myocardial infarction (MI), chronic rhinosinusitis (CRS) and atopic dermatitis (AD). Research on AD, IBD and CRS has remained active to the present.

conclusionThis bibliometric analysis delineates the primary contributing countries, authors, institutions, and journals in OSM research. The identified hotspots and frontiers underscore the broad physiological roles of OSM. This study provides an objective reference for future scientific research on OSM.

Indexed as

Bibliometric analysisCytokineOncostatin MVisual analysis

Identifiers

PMID41925977
PMCPMC13172170

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.