Report summary

The 2021-2023 picture for Stanford University Department of Radiology is a 89-PI network with 207 internal PI collaborations. The research center of gravity is Medicine as the leading field (46% of slots across 75 PIs; 75 labels), Radiology, Nuclear Medicine and Imaging as the leading subfield (15% of slots across 35 PIs; 35 labels), and Advanced MRI Techniques and Applications as the leading topic (3% of slots across 8 PIs; 8 labels). That is a nice sign for applicants and collaborators, because the network has both density and separable local groups. The top weighted PIs are Joseph C. Wu (55.1 weighted works; Pluripotent Stem Cells Research, Cardiomyopathy and Myosin Studies). The strongest pairings are Aya Kamaya and Justin R. Tse (15 shared works, weight 10.1); Aya Kamaya and Luyao Shen (14 shared works, weight 9.1). The standout breakdown groups are group 1 with 10 PIs, 11 internal connections, weight 31.6, around Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, Molecular Biology, led by Ramasamy Paulmurugan, Katherine W. Ferrara, Jeremy Dahl.