Detecting emerging research fronts in regenerative medicine by the citation network analysis of scientific publications

Technological Forecasting and Social Change

Volumn 78, Issue 2, 2011, Pages 274-282

  Shibata, Naoki ^a   Kajikawa, Yuya ^a   Takeda, Yoshiyuki ^b   Sakata, Ichiro ^a   Matsushima, Katsumori ^a  

^a UNIVERSITY OF TOKYO   (Japan)

^b CHIBA INSTITUTE OF TECHNOLOGY   (Japan)

Author keywords

Citation analysis; Embryonic stem cells; Emerging topic detection; Induced pluripotent stem cells; Regenerative medicine; Research front

Indexed keywords

CITATION ANALYSIS; EMBRYONIC STEM CELLS; EMERGING TOPICS; INDUCED PLURIPOTENT STEM CELLS; REGENERATIVE MEDICINE; RESEARCH FRONT;

CLUSTERING ALGORITHMS; ELECTRIC NETWORK ANALYSIS; INFORMATION ANALYSIS; MEDICINE; STEM CELLS; TOPOLOGY;

RESEARCH;

ACADEMIC RESEARCH; BIOTECHNOLOGY; CELL ORGANELLE; CLUSTER ANALYSIS; DETECTION METHOD; MEDICINE; NETWORK ANALYSIS; RESEARCH AND DEVELOPMENT; TOPOLOGY;

EID: 78651358321     PISSN: 00401625     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.techfore.2010.07.006     Document Type: Article

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