title: Analyzing collaboration networks and developmental patterns of nano-enabled drug delivery (NEDD) for brain cancer.
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.
authors.affiliation: School 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.
authors.forename: Ying
authors.initials: Y
authors.lastname: Huang
authors.affiliation: School 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.
authors.forename: Jing
authors.initials: J
authors.lastname: Ma
authors.affiliation: School of Public Policy, Georgia Institute of Technology, Atlanta, GA 30332, USA ; Search Technology, Inc., Atlanta, GA 30092, USA.
authors.forename: Alan L
authors.initials: AL
authors.lastname: Porter
authors.affiliation: School of Public Policy, Georgia Institute of Technology, Atlanta, GA 30332, USA.
authors.forename: Seokbeom
authors.initials: S
authors.lastname: Kwon
authors.affiliation: School 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.
authors.forename: Donghua
authors.initials: D
authors.lastname: Zhu
keywords: bibliometrics; brain cancer; collaboration network; nano-enabled drug delivery (NEDD); nanoinformatics