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Bibliometric and Visualized Analysis of Tissue Engineering for Cartilage Repair and Regeneration Over the Past Decade

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Abstract

Background

Tremendous progress has been made in the field of cartilage repair and regeneration, particularly with tissue-engineering approaches. This study aims to estimate the global status and current trends in the field of cartilage tissue engineering.

Methods

Publications from 2011 to 2020 on tissue engineering for cartilage repair and regeneration were retrieved from Web of Science Core Collection database. The source data were statistically evaluated based on the bibliometrics. In terms of visualized analysis, some bibliometric indicators such as bibliographic coupling, co-citation, co-authorship and co-occurrence analysis were performed by VOSviewer software, to investigate the research trends in tissue engineering for cartilage repair and regeneration.

Results

In total, 3715 papers were included. Since 2011, the amount of issued papers and relative research interest (RRI) have grown by leaps and bounds globally. The United States was the biggest contributor to the research in this field, due to the greatest citation frequency, the highest H index and the strongest total link strength. Romania had the highest average citation for each. The journal Tissue Engineering Part A published most articles in this field. For institutions, the largest contributors were Shanghai Jiaotong University, University of California System and Sichuan University. Studies could all be grouped into four main clusters: study of biomaterial scaffolds, study of seeding cells and growth factors, experimental animal model and clinical study, and mechanism research.

Conclusion

Great efforts should be put into the study of biomaterial scaffolds, seeding cells and growth factors, considered to be the next hot topics in cartilage tissue engineering. This findings provide collaborative insights and research orientation for academic researchers, surgeons and healthcare practitioners to a certain extent.

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Funding

This research was funded by National Natural Science Foundation of China, grant number 51975400, 62031022 and 81972075, and Shanxi Provincial Key Medical Scientific Research Project, grant number 2020XM06.

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Authors and Affiliations

  1. Shanxi Key Laboratoty of Micro Nano Sensors & Artificial Intelligence Perception, College of Information and Computer & Key Lab of Advanced Transducers and Intelligent Control System of the Ministry of Education, Taiyuan University of Technology, Taiyuan, 030024, China

    Yanyan Cao, Qianqian Duan & Shengbo Sang

  2. College of Information Science and Engineering, Hebei North University, Zhangjiakou, 075000, China

    Yanyan Cao

  3. Department of Orthopedics, Shanxi Key Laboratory of Bone and Soft Tissue Injury Repair, The Second Hospital of Shanxi Medical University, Taiyuan, 030001, China

    Peng Cheng, Pengcui Li & Chuan Xiang

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  1. Yanyan Cao
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  2. Peng Cheng
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  4. Pengcui Li
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  5. Chuan Xiang
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Correspondence to Chuan Xiang or Shengbo Sang.

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Cao, Y., Cheng, P., Duan, Q. et al. Bibliometric and Visualized Analysis of Tissue Engineering for Cartilage Repair and Regeneration Over the Past Decade. JOIO 56, 1206–1216 (2022). https://doi.org/10.1007/s43465-021-00569-1

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  • DOI: https://doi.org/10.1007/s43465-021-00569-1

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