Report summary

Harvard University Department of Radiology in 2022-2026 reads as a 119-PI network with 257 internal PI collaborations. The dominant subject mix is Medicine as the leading field (51% of slots across 105 PIs; 105 labels), Radiology, Nuclear Medicine and Imaging as the leading subfield (19% of slots across 58 PIs; 58 labels), and Advanced MRI Techniques and Applications as the leading topic (6% of slots across 21 PIs; 21 labels). That is promising: collaboration is not just one large hairball, and the leading breakdown groups cover 26 PIs across distinct clusters. The leading PI names are Ralph Weissleder (28.1 weighted works; Immune cells in cancer, RNA Interference and Gene Delivery). The most visible ties are Lauren J. O’Donnell and Yogesh Rathi (47 shared works, weight 15.9); Xiaofeng Liu and Jonghye Woo (19 shared works, weight 15.4). The leading breakdown groups are group 1 with 10 PIs, 14 internal connections, weight 60.3, around Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, Artificial Intelligence, led by Xiaofeng Liu, Lauren J. O’Donnell, Emiliano Santarnecchi; group 2 with 9 PIs, 8 internal connections, weight 21.9, around Radiology, Nuclear Medicine and Imaging, Pediatrics, Perinatology and Child Health, Neurology, led by Adam A. Dmytriw, Marc D. Succi, Davood Karimi.