Evidence map›Paper›PMID 42278137›Full record

ArticleAnimals : an open access journal from MDPI2026

Research Trends and Emerging Frontiers in Racehorse Genetics: A Bibliometric Analysis.

Qiuping Huang, Xinkui Yao, Xue Yang, Tianwei Wang, Xinlong Li, Dehaxi Shan, Yi Su, Jianwen Wang

Abstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 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

8 authors.

Qiuping HuangCollege of Animal Science, Xinjiang Agricultural University, Urumqi 830052, China.
Xinkui YaoCollege of Animal Science, Xinjiang Agricultural University, Urumqi 830052, China.
Xue YangSichuan Animal Science Academy, Chengdu 610066, China.
Tianwei WangSichuan Animal Science Academy, Chengdu 610066, China.
Xinlong LiCollege of Animal Science, Xinjiang Agricultural University, Urumqi 830052, China.
Dehaxi ShanCollege of Animal Science, Xinjiang Agricultural University, Urumqi 830052, China.ORCID 0009-0004-2432-236X
Yi SuCollege of Animal Science, Xinjiang Agricultural University, Urumqi 830052, China.ORCID 0009-0009-8046-9442
Jianwen WangCollege of Animal Science, Xinjiang Agricultural University, Urumqi 830052, China.ORCID 0000-0001-7148-4557

Funding

Basic Research Funding Projects for Scientific Research in Xinjiang Universities XJEDU2025J057Central Guidance for Local Science and Technology Development Fund ZYYD2025JD02Key R&D projects of Xinjiang Uygur Autonomous Region 2025B02019-1
6 · The paper itself

Abstract

The global horse racing industry relies heavily on elite breeding. Therefore, a molecular understanding of athletic traits is crucial for the industry's advancement. This study utilized Bibliometrix, VOSviewer, and CiteSpace to conduct a comprehensive bibliometric analysis of 869 publications in the Web of Science Core Collection (2011-2025), decoding the academic landscape and evolutionary trajectory of equine genetics. The results indicate a significant upward trend in academic output since 2019, with the United States, South Korea, and the United Kingdom emerging as the primary contributors. Institutions such as the University of California, Davis, and University College Dublin serve as key hubs within a highly structured global collaborative network. Analysis of keyword co-occurrence and bursts reveals a distinct paradigm shift: research has evolved from early single-gene identification (e.g., MSTN) to large-scale genome-wide scans, and more recently to functional genomics and bioethical issues. Contemporary research frontiers increasingly focus on "gene doping" "homozygosity" and "risk factors" signaling that horse genetics is shifting from performance-oriented selection toward a comprehensive framework that integrates phenotypes, health, and genetic diversity. This study provides researchers with a strategic roadmap to help them align with emerging trends and foster international collaboration in equine genomic selection.

Indexed as

bibliometric analysisequine geneticsgenetic diversityhorse racinghot trends

Identifiers

PMID42278137
PMCPMC13255861

What Socratic 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 Socratic graph.