Report summary

University of Pittsburgh Department of Radiology in 2021-2023 reads as a 24-PI network with 11 internal PI collaborations. The dominant subject mix is Medicine as the leading field (65% of slots across 24 PIs; 24 labels), Radiology, Nuclear Medicine and Imaging as the leading subfield (25% of slots across 15 PIs; 15 labels), and Advanced MRI Techniques and Applications as the leading topic (8% of slots across 6 PIs; 6 labels). That is of concern for a 24-PI roster; the strongest pairings may be carrying much of the visible collaboration. The leading PI names are Jiantao Pu (14.6 weighted works; Radiomics and Machine Learning in Medical Imaging, Retinal Imaging and Analysis); Wendie A. Berg (12.3 weighted works; Breast Lesions and Carcinomas, Cancer and Skin Lesions). The most visible ties are Rafael Ceschin and Ashok Panigrahy (7 shared works, weight 3.9). The leading breakdown groups are group 1 with 7 PIs, 6 internal connections, weight 6.1, around Radiology, Nuclear Medicine and Imaging, Epidemiology, Pediatrics, Perinatology and Child Health, led by Wendie A. Berg, Michel Modo, Shandong Wu.