ReviewCell transplantation
3D bioprinting and mesenchymal stem cells: A bibliometric analysis of emerging trends and advancements.
Review in Cell transplantation. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Recent years have witnessed rapid advancements in 3D bioprinting and the widespread application of mesenchymal stem cells (MSCs) across various medical disciplines. The synergistic integration of 3D bioprinting and MSCs has opened innovative avenues for tissue engineering and regenerative medicine, particularly in bone tissue repair and regeneration. However, the progress of 3D bioprinting in the field of MSCs research still requires further exploration, and there remains a scarcity of related bibliometric analyses in this domain. With the aim of addressing this existing gap, this research systematically searched the Web of Science Core Collection for publications spanning from January 2003 to October 2025. It employed CiteSpace for cluster and evolution analysis, VOSviewer for collaboration network and keyword co-occurrence analysis, and the R package "bibliometrix" for statistical evaluation of bibliometric indicators. This bibliometric analysis focused on tissue engineering research integrating 3D bioprinting with MSCs, encompassing 1,846 original articles. These articles were authored by 10,276 researchers from 2,024 institutions across 69 countries and published in 342 academic journals. From 2014 to 2023, the number of annual publications exhibited a fluctuating yet rapid upward trend. China and the United States emerged as the most influential countries, with China experiencing a particularly substantial increase in research output-though international collaborations among institutions and authors remained limited. Wu C.T. and Bose S. stood out as key contributors to this field, while journals such as
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.