Report summary

The 2018-2020 picture for Stanford University Department of Radiology is a 80-PI network with 207 internal PI collaborations. The main research signal is Medicine as the leading field (48% of slots across 66 PIs; 66 labels), Radiology, Nuclear Medicine and Imaging as the leading subfield (12% of slots across 25 PIs; 25 labels), and Nanoplatforms for cancer theranostics as the leading topic (3% of slots across 7 PIs; 7 labels). That is a nice sign for applicants and collaborators, because the network has both density and separable local groups. The leading PI names are Joseph C. Wu (35.2 weighted works; Pluripotent Stem Cells Research, CRISPR and Genetic Engineering); Zhen Cheng (34.6 weighted works; Nanoplatforms for cancer theranostics, Photoacoustic and Ultrasonic Imaging). The clearest collaboration lines are Martin J. Willemink and Dominik Fleischmann (14 shared works, weight 9.9); Avnesh S. Thakor and Mujib Ullah (11 shared works, weight 9.7). The leading breakdown groups are group 1 with 10 PIs, 12 internal connections, weight 44.4, around Radiology, Nuclear Medicine and Imaging, Epidemiology, Neurology, led by Max Wintermark, Martin J. Willemink, Jeremy J. Heit.