Report summary

For University of Chicago Department of Radiology in 2015-2026, the graph shows 66 visible PIs and 163 internal PI collaborations. The dominant subject mix is Medicine as the leading field (56% of slots across 60 PIs; 60 labels), Radiology, Nuclear Medicine and Imaging as the leading subfield (23% of slots across 34 PIs; 34 labels), and Advanced MRI Techniques and Applications as the leading topic (7% of slots across 14 PIs; 14 labels). That is a healthy pattern, with enough links to reveal several interpretable groups rather than one undifferentiated component. The top weighted PIs are Daniel Thomas Ginat (77.1 weighted works; Radiomics and Machine Learning in Medical Imaging, Head and Neck Cancer Studies). The most visible ties are Gregory S. Karczmar and Aytekin Oto (43 shared works, weight 21.9); Roberto M. Lang and Amit R. Patel (46 shared works, weight 21.3). The standout breakdown groups are group 1 with 7 PIs, 6 internal connections, weight 36.5, around Surgery, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, led by Daniel Thomas Ginat, Osman Ahmed, Kenneth B. Bader; group 2 with 7 PIs, 7 internal connections, weight 69.5, around Radiology, Nuclear Medicine and Imaging, Oncology, Genetics, led by Gregory S. Karczmar, Aytekin Oto, Xiaobing Fan.