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      Mapping current research and identifying hotspots on mesenchymal stem cells in cardiovascular disease

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          Abstract

          Background

          Mesenchymal stem cells (MSCs) have important research value and broad application prospects in the cardiovascular disease. This study provides information on the latest progress, evolutionary path, frontier research hotspots, and future research developmental trends in this field.

          Methods

          A knowledge map was generated by CiteSpace and VOSviewer analysis software based on data obtained from the literature on MSCs in the cardiovascular field.

          Results

          The USA and China ranked at the top in terms of the percentage of articles, accounting for 34.306% and 28.550%, respectively. The institution with the highest number of research publications in this field was the University of Miami, followed by the Chinese Academy of Medical Sciences and Harvard University. The research institution with the highest ACI value was Harvard University, followed by the Mayo Clinic and the University of Cincinnati.

          The top three subjects in terms of the number of published articles were cell biology, cardiovascular system cardiology, and research experimental medicine. The journal with the most publications in this field was Circulation Research, followed by Scientific Reports and Biomaterials. The direction of research on MSCs in the cardiovascular system was divided into four parts: (1) tissue engineering, scaffolds, and extracellular matrix research; (2) cell transplantation, differentiation, proliferation, and signal transduction pathway research; (3) assessment of the efficacy of stem cells from different sources and administration methods in the treatment of acute myocardial infarction, myocardial hypertrophy, and heart failure; and (4) exosomes and extracellular vesicles research. Tissue research is the hotspot and frontier in this field.

          Conclusion

          MSC research has presented a gradual upward trend in the cardiovascular field. Multidisciplinary intersection is a characteristic of this field. Engineering and materials disciplines are particularly valued and have received attention from researchers. The progress in multidisciplinary research will provide motivation and technical support for the development of this field.

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          Most cited references110

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          Software survey: VOSviewer, a computer program for bibliometric mapping

          We present VOSviewer, a freely available computer program that we have developed for constructing and viewing bibliometric maps. Unlike most computer programs that are used for bibliometric mapping, VOSviewer pays special attention to the graphical representation of bibliometric maps. The functionality of VOSviewer is especially useful for displaying large bibliometric maps in an easy-to-interpret way. The paper consists of three parts. In the first part, an overview of VOSviewer’s functionality for displaying bibliometric maps is provided. In the second part, the technical implementation of specific parts of the program is discussed. Finally, in the third part, VOSviewer’s ability to handle large maps is demonstrated by using the program to construct and display a co-citation map of 5,000 major scientific journals.
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            CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature

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              Searching for intellectual turning points: progressive knowledge domain visualization.

              C. Chen (2004)
              This article introduces a previously undescribed method progressively visualizing the evolution of a knowledge domain's cocitation network. The method first derives a sequence of cocitation networks from a series of equal-length time interval slices. These time-registered networks are merged and visualized in a panoramic view in such a way that intellectually significant articles can be identified based on their visually salient features. The method is applied to a cocitation study of the superstring field in theoretical physics. The study focuses on the search of articles that triggered two superstring revolutions. Visually salient nodes in the panoramic view are identified, and the nature of their intellectual contributions is validated by leading scientists in the field. The analysis has demonstrated that a search for intellectual turning points can be narrowed down to visually salient nodes in the visualized network. The method provides a promising way to simplify otherwise cognitively demanding tasks to a search for landmarks, pivots, and hubs.
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                Author and article information

                Contributors
                chenchan2009@126.com
                maoweilw@163.com
                Journal
                Stem Cell Res Ther
                Stem Cell Res Ther
                Stem Cell Research & Therapy
                BioMed Central (London )
                1757-6512
                25 November 2020
                25 November 2020
                2020
                : 11
                : 498
                Affiliations
                [1 ]GRID grid.268505.c, ISNI 0000 0000 8744 8924, Hangzhou Xiaoshan district Hospital of TCM, Jiangnan Hospital Affiliated to Zhejiang Chinese Medical University, ; Hangzhou, 311201 Zhejiang China
                [2 ]GRID grid.268505.c, ISNI 0000 0000 8744 8924, Zhejiang Chinese Medical University, ; Hangzhou, 310053 Zhejiang China
                [3 ]GRID grid.417400.6, ISNI 0000 0004 1799 0055, The first Affiliated Hospital Zhejiang Chinese Medical University, ; Hangzhou, 311006 Zhejiang China
                Author information
                http://orcid.org/0000-0003-1994-2770
                Article
                2009
                10.1186/s13287-020-02009-7
                7687818
                33239082
                3a6eda96-879f-4492-b0a0-dacbc2a7f97c
                © The Author(s) 2020

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 13 October 2020
                : 3 November 2020
                Funding
                Funded by: Zhejiang Medical Science and Technology Projects
                Award ID: 2020RC104
                Award Recipient :
                Funded by: Hangzhou Municipal Health Commission Projects
                Award ID: 20181228Y90
                Award Recipient :
                Categories
                Research
                Custom metadata
                © The Author(s) 2020

                Molecular medicine
                mesenchymal stem cells,cardiovascular,knowledge mapping analysis,visualization

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