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Report summary

Yale University Department of Radiology and Biomedical Imaging in 2022-2026 reads as a 64-PI network with 191 internal PI collaborations. The dominant subject mix is Medicine as the leading field (51% of slots across 59 PIs; 59 labels), Radiology, Nuclear Medicine and Imaging as the leading subfield (22% of slots across 38 PIs; 38 labels), and Advanced MRI Techniques and Applications as the leading topic (8% of slots across 15 PIs; 15 labels). That is promising: collaboration is not just one large hairball, and the leading breakdown groups cover 24 PIs across distinct clusters. The leading PI names are Ajay Malhotra (39.5 weighted works; Pharmaceutical industry and healthcare, Diversity and Career in Medicine); Seyedmehdi Payabvash (32.8 weighted works; Acute Ischemic Stroke Management, Intracerebral and Subarachnoid Hemorrhage Research). The most visible ties are Ajay Malhotra and Seyedmehdi Payabvash (53 shared works, weight 26). The leading breakdown groups are group 1 with 9 PIs, 10 internal connections, weight 67.8, around Radiology, Nuclear Medicine and Imaging, Epidemiology, Gender Studies, led by Ajay Malhotra, Seyedmehdi Payabvash, Dustin Scheinost.

Yale Radiology and Biomedical Imaging Faculty Co-authorship Network - 64 PIs, 191 collaborations | ProfessorNet