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An exploratory study on collaboration profiles of Chinese publications in Molecular Biology

Author

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  • Nan Ma

    (School of Management, Beijing University of Aeronautics and Astronautics)

  • Jiancheng Guan

    (School of Management, Beijing University of Aeronautics and Astronautics; Research Center for Technological Innovation, Tsinghua University)

Abstract

Summary As science has become much complex and sophisticated, greater attention is paid to scientific collaboration within recent bibliometric studies. A total of 6538 publications in Molecular Biology from China during 1999-2003, as indicated by data collected from database of the Science Citation Index Expanded - Web Edition, have been analyzed. A large proportion of publications have been authored by more than 3 scientists. The composition of publications grouped by collaboration patterns are: 1.58% non-collaborative papers, 42.43% local papers, 34.37% domestic papers and 21.62% international papers on average during the studied period. The countries with which China has collaborative links and their frequencies are all itemized to indicate the intensity of international collaboration in the field of Molecular Biology. Finally, the differences between the impact of wholly indigenous papers and internationally collaborative papers have been compared. The results indicate that foreign collaboration does contribute a lot to the improvement of the mainstream connectivity and international visibility.

Suggested Citation

  • Nan Ma & Jiancheng Guan, 2005. "An exploratory study on collaboration profiles of Chinese publications in Molecular Biology," Scientometrics, Springer;Akadémiai Kiadó, vol. 65(3), pages 343-355, December.
    • Handle: RePEc:spr:scient:v:65:y:2005:i:3:d:10.1007_s11192-005-0278-z
    DOI: 10.1007/s11192-005-0278-z
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    Cited by:

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    4. Ding, Cherng G. & Hung, Wen-Chi & Lee, Meng-Che & Wang, Hung-Jui, 2017. "Exploring paper characteristics that facilitate the knowledge flow from science to technology," Journal of Informetrics, Elsevier, vol. 11(1), pages 244-256.
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    7. S. Hennemann & T. Wang & I. Liefner, 2011. "Measuring regional science networks in China: a comparison of international and domestic bibliographic data sources," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(2), pages 535-554, August.
    8. Jonathan M. Levitt, 2015. "What is the optimal number of researchers for social science research?," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 213-225, January.
    9. Radhamany Sooryamoorthy, 2010. "Medical research in South Africa: a scientometric analysis of trends, patterns, productivity and partnership," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(3), pages 863-885, September.
    10. Rodrigo Costas & Thed N. Leeuwen & María Bordons, 2012. "Referencing patterns of individual researchers: Do top scientists rely on more extensive information sources?," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(12), pages 2433-2450, December.
    11. Kaile Gong & Ying Cheng, 2022. "Patterns and impact of collaboration in China’s social sciences: cross-database comparisons between CSSCI and SSCI," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(10), pages 5947-5964, October.
    12. Duanhong Zhang & Wenjia Ding & Yang Wang & Siwen Liu, 2022. "Exploring the Role of International Research Collaboration in Building China’s World-Class Universities," Sustainability, MDPI, vol. 14(6), pages 1-17, March.
    13. Mengjiao Qi & An Zeng & Menghui Li & Ying Fan & Zengru Di, 2017. "Standing on the shoulders of giants: the effect of outstanding scientists on young collaborators’ careers," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1839-1850, June.
    14. Radhamany Sooryamoorthy, 2009. "Do types of collaboration change citation? Collaboration and citation patterns of South African science publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(1), pages 177-193, October.
    15. Thelwall, Mike & Sud, Pardeep, 2014. "No citation advantage for monograph-based collaborations?," Journal of Informetrics, Elsevier, vol. 8(1), pages 276-283.
    16. Na Liu & Jiancheng Guan, 2015. "Dynamic evolution of collaborative networks: evidence from nano-energy research in China," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(3), pages 1895-1919, March.
    17. Radhamany Sooryamoorthy, 2009. "Collaboration and publication: How collaborative are scientists in South Africa?," Scientometrics, Springer;Akadémiai Kiadó, vol. 80(2), pages 419-439, August.
    18. Fan, Lingxu & Guo, Lei & Wang, Xinhua & Xu, Liancheng & Liu, Fangai, 2022. "Does the author’s collaboration mode lead to papers’ different citation impacts? An empirical analysis based on propensity score matching," Journal of Informetrics, Elsevier, vol. 16(4).
    19. Anastassios Pouris, 2007. "Nanoscale research in South Africa: A mapping exercise based on scientometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 70(3), pages 541-553, March.
    20. Annamária Inzelt & András Schubert & Mihály Schubert, 2009. "Incremental citation impact due to international co-authorship in Hungarian higher education institutions," Scientometrics, Springer;Akadémiai Kiadó, vol. 78(1), pages 37-43, January.
    21. Ingo Liefner & Stefan Hennemann, 2011. "Structural Holes and New Dimensions of Distance: The Spatial Configuration of the Scientific Knowledge Network of China's Optical Technology Sector," Environment and Planning A, , vol. 43(4), pages 810-829, April.
    22. Chen, Kaihua & Zhang, Yi & Fu, Xiaolan, 2019. "International research collaboration: An emerging domain of innovation studies?," Research Policy, Elsevier, vol. 48(1), pages 149-168.
    23. Hui Geng & Yanrui Wu & Xing Shi, 2022. "International Collaboration and Research Organization Performance: Evidence from China," Economics Discussion / Working Papers 22-11, The University of Western Australia, Department of Economics.

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