Report summary

The 2018-2020 picture for Columbia University Department of Biomedical Engineering is a 35-PI network with 19 internal PI collaborations. The main research signal is Medicine as the leading field (33% of slots across 22 PIs; 22 labels), Biomedical Engineering as the leading subfield (9% of slots across 8 PIs; 8 labels), and Osteoarthritis Treatment and Mechanisms as the leading topic (5% of slots across 5 PIs; 5 labels). This is a solid, readable collaboration map: group-level fit matters more than a single department-wide label. The leading PI names are Elisa E. Konofagou (22.4 weighted works; Ultrasound and Hyperthermia Applications, Photoacoustic and Ultrasonic Imaging); Kam W. Leong (21.6 weighted works; CRISPR and Genetic Engineering, RNA Interference and Gene Delivery). The clearest collaboration lines are Kam W. Leong and Dan Shao (12 shared works, weight 7). The leading breakdown groups are group 1 with 8 PIs, 10 internal connections, weight 8.6, around Rheumatology, Surgery, Biomedical Engineering, led by Elisa E. Konofagou, Gordana Vunjak‐Novakovic, Nadeen O. Chahine.