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Analyzing collaboration networks and developmental patterns of nano-enabled drug delivery (NEDD) for brain cancer
Ying Huang1, Jing Ma2, Alan L Porter3
1School of Management and Economics, Beijing Institute of Technology, Beijing 100081, China ; Lab of Knowledge Management and Data Analysis (KMDA), Beijing Institute of Technology, Beijing 100081, China ; School of Public Policy, Georgia Institute of Technology, Atlanta, GA 30332, USA.
Abstract:
The rapid development of new and emerging science & technologies (NESTs) brings unprecedented challenges, but also opportunities. In this paper, we use bibliometric and social network analyses, at country, institution, and individual levels, to explore the patterns of scientific networking for a key nano area - nano-enabled drug delivery (NEDD). NEDD has successfully been used clinically to modulate drug release and to target particular diseased tissues. The data for this research come from a global compilation of research publication information on NEDD directed at brain cancer. We derive a family of indicators that address multiple facets of research collaboration and knowledge transfer patterns. Results show that: (1) international cooperation is increasing, but networking characteristics change over time; (2) highly productive institutions also lead in influence, as measured by citation to their work, with American institutes leading; (3) research collaboration is dominated by local relationships, with interesting information available from authorship patterns that go well beyond journal impact factors. Results offer useful technical intelligence to help researchers identify potential collaborators and to help inform R&D management and science & innovation policy for such nanotechnologies.
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