Research groups of oncology co-authorship network in China
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DOI: 10.1007/s11192-011-0465-z
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References listed on IDEAS
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- 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.
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- 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.
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Cited by:
- 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.
- 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.
- 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.
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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
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