Report summary

Stanford University Department of Radiology in 2024-2026 reads as a 62-PI network with 53 internal PI collaborations. The research center of gravity is Medicine as the leading field (51% of slots across 54 PIs; 54 labels), Radiology, Nuclear Medicine and Imaging as the leading subfield (17% of slots across 25 PIs; 25 labels), and Radiomics and Machine Learning in Medical Imaging as the leading topic (4% of slots across 7 PIs; 7 labels). The focus is impressively clear, which is good for fit in Medicine but worth checking for breadth outside that area. The most prominent PIs by weighted works are Joseph C. Wu (18.4 weighted works; Pluripotent Stem Cells Research, CRISPR and Genetic Engineering). The strongest pairings are Mirabela Rusu and Geoffrey A. Sonn (10 shared works, weight 5.5). The strongest breakdown groups are group 1 with 9 PIs, 8 internal connections, weight 17.5, around Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Pulmonary and Respiratory Medicine, led by Mirabela Rusu, Justin R. Tse, Aya Kamaya.