Evidence mapPaperPMID 42348274Full record

ReviewCell transplantation

Hotspots and trends in stem cell therapy for ligament injuries: A bibliometric analysis (2001-2025).

Xuchao Wang, Junjie Liu, Wenlong Gao

Abstract readReview
In one paragraph

Review in Cell transplantation. 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.

Xuchao WangDepartment of Songbei Orthopedics, The Fourth Affiliated Hospital of Harbin Medical University, Harbin, China.ORCID 0009-0007-8881-5114
Junjie LiuDepartment of Songbei Orthopedics, The Fourth Affiliated Hospital of Harbin Medical University, Harbin, China.
Wenlong GaoDepartment of Songbei Orthopedics, The Fourth Affiliated Hospital of Harbin Medical University, Harbin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ligament injuries can lead to lasting instability and early joint degeneration despite rehabilitation or surgery. Stem cell therapies may aid regeneration, but studies are highly variable. Bibliometric analysis can summarize trends, hotspots, and research gaps. We searched the Web of Science Core Collection for English-language original articles on stem cell therapy for ligament injuries from 2001 to 2025 on April 2, 2025, excluding non-original publications. Publication and citation trends were summarized, and co-authorship, co-citation, and keyword networks were mapped using Excel, VOSviewer, CiteSpace, and Bibliometric.com. A total of 599 articles were included, with steadily increasing annual publications. The United States and China were leading contributors, with strong collaboration networks involving major institutions such as the University of Pittsburgh and Zhejiang University. Keyword analyses identified seven main themes spanning mechanisms, clinical translation, tissue engineering, surgery/grafting, injury models, biomechanics, and biomaterials. Recent hotspots included "inflammation" and "artificial ligament". Stem cell research for ligament injuries is increasingly focused on mechanisms and biomaterials, but evidence is still mainly preclinical and inconsistent. Better comparative clinical studies and standardized, well-defined biomaterial-cell approaches are needed.

Indexed as

BibliometricsCell- and Tissue-Based TherapyLigamentsStem CellsStem Cell TransplantationAnimalsHumansTissue Engineeringbibliometric analysisligament injuriesstem cell therapy

Identifiers

PMID42348274
PMCPMC13309644

What Socratic 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 Socratic graph.