Literature DB >> 31493613

Bibliometric and Visualized Analysis of Stem Cells Therapy for Spinal Cord Injury Based on Web of Science and CiteSpace in the Last 20 Years.

Shengmin Guo1, Li Wang2, Yujie Xie2, Xi Luo2, Shaojun Zhang3, Linbo Xiong4, Haibo Ai5, Zhihao Yuan2, Jianxiong Wang6.   

Abstract

OBJECTIVE: To provide an analysis of Web of Science (WoS) indexed literature related to stem cells therapy in spinal cord injury published between 1999 and 2018.
METHODS: Data were obtained from the WoS Core Collection on March 30, 2019. Qualitative and quantitative analysis was conducted based on WoS. Co-citation analysis, collaboration analysis, and co-words analysis of keywords was conducted by using CiteSpace.
RESULTS: A total of 4188 references were obtained. The number of publications continually increased over the investigated period. Articles were the most frequently document type. Cell Transplantation (127) was the most productive journal. Experimental Neurology (2180) was the most frequently co-cited journal. H. Okano was the most productive and influential author, with 98 publications and 4860 cited counts. The most productive country and institution were the United States and University of Toronto, respectively. Researchers and institutions from Canada, the United States, Japan, and China were the core research forces. There was a broad and close cooperation worldwide. The Lu et al.'s (2012) article (co-citation counts, 177) was the most representative and symbolic reference. Transplantation, functional recovery, marrow-derived mesenchymal stem cell treatment, and progenitor cells were the hot spots. Inflammation, glial scar, nerve regeneration, neurite outgrowth, and bone marrow stromal cell were research frontiers.
CONCLUSIONS: Research on stem cells for spinal cord injury is a well-developed and promising research field. There is broad global scientific research cooperation. More cooperation among top authors, institutions, and countries is needed. Our results may be helpful for researchers in identifying further potential perspectives on collaborators, research frontiers, and hot topics.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Bibliometric analysis; CiteSpace; Co-citation; Co-occurrence; Spinal cord injury; Stem cells

Mesh:

Year:  2019        PMID: 31493613     DOI: 10.1016/j.wneu.2019.08.191

Source DB:  PubMed          Journal:  World Neurosurg        ISSN: 1878-8750            Impact factor:   2.104


  13 in total

Review 1.  Bibliometric analysis and visualization of research trends on oblique lumbar interbody fusion surgery.

Authors:  Chien-Min Chen; Gang Rui; Bao-Shan Hu; Guang-Xun Lin; Jin-Niang Nan; Kuo-Tai Chen; Li-Wei Sun; Ching-Ting Tai; Shang-Wun Jhang
Journal:  Int Orthop       Date:  2022-01-31       Impact factor: 3.479

2.  Trends and Development in the Antibiotic-Resistance of Acinetobacter baumannii: A Scientometric Research Study (1991-2019).

Authors:  Xuebing Liu; Xiaoheng Wu; Jianhua Tang; Lin Zhang; Xu Jia
Journal:  Infect Drug Resist       Date:  2020-09-16       Impact factor: 4.003

3.  What You Should Know About Osteoarthritis Rehabilitation: A Bibliometric Analysis of the 50 Most-Cited Articles.

Authors:  Shi-Qi Wang; Jian-Xiong Wang; Chi Zhang; Fu-Hua Sun; Yu-Jie Xie; Wei Jiang; Xia Ou; Akira Miyamoto; Li Wang
Journal:  Geriatr Orthop Surg Rehabil       Date:  2020-11-11

4.  Association between intestinal microbiome and inflammatory bowel disease: Insights from bibliometric analysis.

Authors:  Pengfei Xu; Tengteng Lv; Shenghui Dong; Zhihao Cui; Xinyuan Luo; Baolei Jia; Che Ok Jeon; Jie Zhang
Journal:  Comput Struct Biotechnol J       Date:  2022-04-07       Impact factor: 6.155

5.  Knowledge Mapping of Acupuncture for Cancer Pain: A Scientometric Analysis (2000-2019).

Authors:  Li Huang; Yanqing Zhao; Minhong Xiang
Journal:  J Pain Res       Date:  2021-02-05       Impact factor: 3.133

6.  Bibliometric and Visual Analysis of Research on the Links Between the Gut Microbiota and Depression From 1999 to 2019.

Authors:  Xiuqing Zhu; Jinqing Hu; Shuhua Deng; Yaqian Tan; Chang Qiu; Ming Zhang; Xiaojia Ni; Haoyang Lu; Zhanzhang Wang; Lu Li; Hongzhen Chen; Shanqing Huang; Tao Xiao; Dewei Shang; Yuguan Wen
Journal:  Front Psychiatry       Date:  2021-01-08       Impact factor: 4.157

7.  Study of virtual reality for mild cognitive impairment: A bibliometric analysis using CiteSpace.

Authors:  Kaiyan Zhu; Rong Lin; Hong Li
Journal:  Int J Nurs Sci       Date:  2021-12-24

8.  The global status of research in breast cancer liver metastasis: a bibliometric and visualized analysis.

Authors:  Yanlong Shi; Wei Wei; Li Li; Qian Wei; Fei Jiang; Guozhi Xia; Hongzhu Yu
Journal:  Bioengineered       Date:  2021-12       Impact factor: 3.269

9.  Hotspot and Frontier Analysis of Exercise Training Therapy for Heart Failure Complicated With Depression Based on Web of Science Database and Big Data Analysis.

Authors:  Yan Wang; Yuhong Jia; Molin Li; Sirui Jiao; Henan Zhao
Journal:  Front Cardiovasc Med       Date:  2021-05-19

10.  A Scientometrics Analysis and Visualization of Depressive Disorder.

Authors:  Dong Xu; Yi-Lun Wang; Kun-Tang Wang; Yue Wang; Xin-Ran Dong; Jie Tang; Yuan-Lu Cui
Journal:  Curr Neuropharmacol       Date:  2021       Impact factor: 7.363

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