Report summary

For University of Southern California Department of Biomedical Engineering in 2015-2017, the graph shows 33 visible PIs and 18 internal PI collaborations. The main research signal is Engineering as the leading field (28% of slots across 18 PIs; 18 labels), Biomedical Engineering as the leading subfield (13% of slots across 11 PIs; 11 labels), and Neuroscience and Neural Engineering as the leading topic (5% of slots across 5 PIs; 5 labels). The network looks reasonably well-rounded, with visible collaboration groups but not so much concentration that one field explains the whole department. The most prominent PIs by weighted works are Ellis Meng (15.3 weighted works; Neuroscience and Neural Engineering, Microfluidic and Capillary Electrophoresis Applications); Qifa Zhou (13.9 weighted works; Ferroelectric and Piezoelectric Materials, Microfluidic and Bio-sensing Technologies). The clearest collaboration lines are Qifa Zhou and K. Kirk Shung (54 shared works, weight 19.4). The strongest breakdown groups are group 1 with 7 PIs, 13 internal connections, weight 40.6, around Cellular and Molecular Neuroscience, Biomedical Engineering, Molecular Biology, led by Qifa Zhou, K. Kirk Shung, Mark S. Humayun.