Global research trends in bone/cartilage organoids from 2010 to 2024: A bibliometric and visualization study

Abstract

Bone/cartilage organoids have garnered significant attention in regenerative medicine due to their promising applications in tissue repair and disease modeling. Despite this growing interest, there is still a gap in understanding global research trends and developments in this field. This study provides a comprehensive review of the present status and emerging directions of bone/cartilage organoid research worldwide. Utilizing data from 288 records in the Web of Science Core Collection (2010 - 2024), we employed R, VOSviewer, CiteSpace, and GraphPad Prism to analyze the literature’s historical development, general characteristics, and keyword distributions. The analysis revealed a steady increase in publications since 2010, peaking in 2023, with the United States leading in contributions, and Bioactive Materials as the most influential journal. Noteworthy authors included Jiacan Su from China and Hans Clevers from the Netherlands. Research subareas were clustered into seven themes: Regenerative Medicine, Bone Regeneration, Bone Marrow Organoids, Differentiation, Extracellular Matrix, Expression, and Protein-Based Culture. Four main research directions were identified: stem cells and the microenvironment, biomaterials, regenerative medicine, and disease modeling/drug screening. This first bibliometric study on bone/cartilage organoids establishes a knowledge map, identifies key trends, and pinpoints potential hotspots, offering valuable insights for future research in this evolving field.

Keywords

Bibliometric / Visualization / Bone/cartilage organoids / Tissue engineering

Acknowledgments

None.

Funding

This study was supported by the Guangdong Basic and Applied Basic Research Foundation (project numbers: 2023A1515220019, 2022A1515220056), the Sanming Project of Medicine in Shenzhen (project number: SZSM202211019), the “Merro” Young Physician Innovation and Development Project (project number: GSKQNJJ-2023-004), and the Shenzhen Science and Technology Program (project number: JCYJ20240813115833044).

Conflict of interest

The authors declare that there are no conflicts of interest regarding the publication of this paper.

Author contributions

Conceptualization: Aikang Li, Rongji Liang, Fuyang Cao

Data curation: Aikang Li, Rongji Liang, Weibei Sheng

Formal analysis: Weibei Sheng, Peng Liu

Funding acquisition: Jianjing Lin

Methodology: Jianjing Lin, Liang Gao

Project administration: Yanbin Peng

Supervision: Jianjing Lin, Xiaohao Wu

Visualization: Aikang Li, Rongji Liang

Writing - original draft: Aikang Li, Rongji Liang, Weibei

Sheng, Weijin Guo, Peng Liu

Writing - review & editing: Hui Zeng, Yanbin Peng, Jianjing Lin

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Availability of data

The data and materials used in this study are available from the corresponding author upon reasonable request.

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