Report summary

For University of Pittsburgh Department of Bioengineering in 2018-2020, the graph shows 112 visible PIs and 139 internal PI collaborations. The main research signal is Medicine as the leading field (43% of slots across 89 PIs; 89 labels), Surgery as the leading subfield (9% of slots across 27 PIs; 27 labels), and Tissue Engineering and Regenerative Medicine as the leading topic (3% of slots across 10 PIs; 10 labels). That is a healthy pattern, with enough links to reveal several interpretable groups rather than one undifferentiated component. The most prominent PIs by weighted works are Prashant N. Kumta (24.8 weighted works; Electrocatalysts for Energy Conversion, Advanced battery technologies research). The clearest collaboration lines are Volker Musahl and Richard E. Debski (25 shared works, weight 11.9); Rocky S. Tuan and Hang Lin (21 shared works, weight 10.2). The strongest breakdown groups are group 1 with 10 PIs, 10 internal connections, weight 26.8, around Biomedical Engineering, Physiology, Cell Biology, led by Mark T. Gladwin, Brad E. Dicianno, Prithu Sundd; group 2 with 10 PIs, 11 internal connections, weight 12.8, around Cellular and Molecular Neuroscience, Biomedical Engineering, Cognitive Neuroscience, led by Xinyan Tracy Cui, Takashi D.Y. Kozai, Jennifer L. Collinger.