2011
DOI: 10.1007/s11192-011-0465-z
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Research groups of oncology co-authorship network in China

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… Show more

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Cited by 28 publications
(16 citation statements)
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References 25 publications
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“…The USA published its first paper in 1978 and it was 15 years later that China published its first paper. However, China has undergone rapid growth in the number of articles produced over the last decade and possibly transcends USA in the year of 2015, which can be attributed to both increasing investment in scientific research and domestic concern for medical environment issues (Zhou and Leydesdorff 2006;Yu et al 2011). Figure 6 also shows that a major gap existed between China and the USA in terms of total number of citations for all articles per year from 1991 to 2006, excluding one outlier.…”
Section: Publication Performances: Institutes and Countriesmentioning
confidence: 99%
“…The USA published its first paper in 1978 and it was 15 years later that China published its first paper. However, China has undergone rapid growth in the number of articles produced over the last decade and possibly transcends USA in the year of 2015, which can be attributed to both increasing investment in scientific research and domestic concern for medical environment issues (Zhou and Leydesdorff 2006;Yu et al 2011). Figure 6 also shows that a major gap existed between China and the USA in terms of total number of citations for all articles per year from 1991 to 2006, excluding one outlier.…”
Section: Publication Performances: Institutes and Countriesmentioning
confidence: 99%
“…The current widely used bibliometric analysis methods include co-citation analysis, bibliographic coupling analysis, and co-occurrence analysis (e.g., co-citation analysis to explore the structure and evolution of a research field [28], bibliographic coupling analysis for patent grouping [29], co-occurrence analysis of authors to detect research groups and author productivity [30], and co-occurrence analysis of keywords for research hot spots [31]). Details of these methods are described as below.…”
Section: Bibliometric Analysis Methods and Toolsmentioning
confidence: 99%
“…Lu and Feng (19) proposed a new method called 'extensity centrality' to analyse the importance of authors in co-authorship networks. Yu et al (20) analysed research groups from the co-authorship network in the oncology field in China. Morel et al (21) used co-authorship network analysis to generate valuable information on the strategic planning, implementation and monitoring of the program launched by the Brazilian Government to fund scientific research.…”
Section: Methodsmentioning
confidence: 99%