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The 2021-2023 picture for Duke University Department of Biomedical Engineering is a 76-PI network with 68 internal PI collaborations. The main research signal is Medicine as the leading field (27% of slots across 41 PIs; 41 labels), Molecular Biology as the leading subfield (12% of slots across 24 PIs; 24 labels), and 3D Printing in Biomedical Research as the leading topic (3% of slots across 6 PIs; 6 labels). This is a solid, readable collaboration map: group-level fit matters more than a single department-wide label. The leading PI names are Warren M. Grill (22.9 weighted works; Neuroscience and Neural Engineering, EEG and Brain-Computer Interfaces); Junjie Yao (22.5 weighted works; Photoacoustic and Ultrasonic Imaging, Thermography and Photoacoustic Techniques). The clearest collaboration lines are Joseph A. Izatt and Anthony N. Kuo (30 shared works, weight 13.3); Ehsan Samei and W. Paul Segars (27 shared works, weight 10.8). The leading breakdown groups are group 1 with 10 PIs, 10 internal connections, weight 16.6, around Molecular Biology, Biomedical Engineering, Rehabilitation, led by Ashutosh Chilkoti, Shyni Varghese, Tatiana Segura; group 2 with 10 PIs, 11 internal connections, weight 31.2, around Ophthalmology, Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, led by Adam Wax, Louis E. DeFrate, Joseph A. Izatt.

Duke Biomedical Engineering Faculty Co-authorship Network - 76 PIs, 68 collaborations | ProfessorNet