Papers
1
Total Citations
79
H-Index
1
About
Lining Shen is a leading researcher at the intersection of bibliometrics, network science, and surgical innovation. Her work centers on mapping the interdisciplinary structure of emerging medical technologies, with a particular focus on robotics in surgery. In her highly cited 2019 study, Shen employed social network analysis and bibliometric methods to systematically detect the interdisciplinary nature and topic hotspots of robotic surgery research. This seminal paper, which has garnered 79 citations, provided the first comprehensive map of how diverse fields—from engineering to clinical medicine—converge in this rapidly evolving domain. By revealing hidden collaboration patterns and emerging research fronts, Shen’s work offers critical guidance for researchers and policymakers navigating the complex landscape of surgical robotics. Her contributions have been instrumental in demonstrating how computational approaches can illuminate the diffusion of technological innovations in healthcare, making her a key voice in the growing field of science of science studies applied to medicine.
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