Report summary

For Stanford University Department of Radiology in 2022-2026, the graph shows 100 visible PIs and 254 internal PI collaborations. The main research signal is Medicine as the leading field (47% of slots across 83 PIs; 83 labels), Radiology, Nuclear Medicine and Imaging as the leading subfield (17% of slots across 43 PIs; 43 labels), and Advanced MRI Techniques and Applications as the leading topic (4% of slots across 11 PIs; 11 labels). That is a healthy pattern, with enough links to reveal several interpretable groups rather than one undifferentiated component. The most prominent PIs by weighted works are Joseph C. Wu (52.8 weighted works; Pluripotent Stem Cells Research, CRISPR and Genetic Engineering). The clearest collaboration lines are Justin R. Tse and Aya Kamaya (24 shared works, weight 15). The strongest breakdown groups are group 1 with 10 PIs, 11 internal connections, weight 21.4, around Epidemiology, Radiology, Nuclear Medicine and Imaging, Neurology, led by Jeremy J. Heit, Jennifer A. Dionne, Craig S. Levin.