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Research groups of oncology co-authorship network in China

Author

Listed:
  • Qi Yu

    (Shanxi Medical University)

  • Hongfang Shao

    (Shanxi Medical University)

  • Zhiguang Duan

    (Shanxi Medical University)

Abstract

This paper aims at analyzing and extracting the research groups from the co-authorship network of oncology in China. By use of centrality, component analysis, K-Core, M-Slice, Hierarchical Clustering analysis, and Multidimensional Scaling analysis, we studied the data from 10 Core Chinese Oncology journals between 2000 and 2009, analyzed the structure character of the Chinese Oncology research institutes. This study advances the methods for selecting the most prolific research groups and individuals in Chinese Oncology research community, and provides basis for more productive cooperation in the future. This study also provides scientific evidences and suggestions for policymakers to establish a more efficient system for managing and financing Chinese Oncology research in the future.

Suggested Citation

  • Qi Yu & Hongfang Shao & Zhiguang Duan, 2011. "Research groups of oncology co-authorship network in China," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(2), pages 553-567, November.
    • Handle: RePEc:spr:scient:v:89:y:2011:i:2:d:10.1007_s11192-011-0465-z
    DOI: 10.1007/s11192-011-0465-z
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    References listed on IDEAS

    as
    1. Clara Calero & Renald Buter & Cecilia Cabello Valdés & Ed Noyons, 2006. "How to identify research groups using publication analysis: an example in the field of nanotechnology," Scientometrics, Springer;Akadémiai Kiadó, vol. 66(2), pages 365-376, February.
    2. Haiyan Hou & Hildrun Kretschmer & Zeyuan Liu, 2008. "The structure of scientific collaboration networks in Scientometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 75(2), pages 189-202, May.
    3. Antonio Perianes-Rodríguez & Carlos Olmeda-Gómez & Félix Moya-Anegón, 2010. "Detecting, identifying and visualizing research groups in co-authorship networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(2), pages 307-319, February.
    4. Erjia Yan & Ying Ding & Qinghua Zhu, 2010. "Mapping library and information science in China: a coauthorship network analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(1), pages 115-131, April.
    5. Katz, J. Sylvan & Martin, Ben R., 1997. "What is research collaboration?," Research Policy, Elsevier, vol. 26(1), pages 1-18, March.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Ting Zhang & Juan Chen & Xiaofeng Jia, 2015. "Identification of the Key Fields and Their Key Technical Points of Oncology by Patent Analysis," PLOS ONE, Public Library of Science, vol. 10(11), pages 1-18, November.
    2. Tianlong Zheng & Juan Wang & Qunhui Wang & Chunhong Nie & Zhining Shi & Xiaona Wang & Zhen Gao, 2016. "A bibliometric analysis of micro/nano-bubble related research: current trends, present application, and future prospects," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(1), pages 53-71, October.
    3. Hector G. Ceballos & Sara E. Garza & Francisco J. Cantu, 2018. "Factors influencing the formation of intra-institutional formal research groups: group prediction from collaboration, organisational, and topical networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(1), pages 181-216, January.

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    More about this item

    Keywords

    Oncology; Co-authorship; Network; Research group;
    All these keywords.

    JEL classification:

    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis

    Statistics

    Access and download statistics

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