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Report summary

University of Pennsylvania Department of Biostatistics Epidemiology and Informatics Perelman in 2015-2026 reads as a 119-PI network with 808 internal PI collaborations. The research center of gravity is Medicine as the leading field (42% of slots across 90 PIs; 90 labels), Epidemiology as the leading subfield (7% of slots across 22 PIs; 22 labels), and Advanced Causal Inference Techniques as the leading topic (3% of slots across 10 PIs; 10 labels). That is promising: collaboration is not just one large hairball, and the leading breakdown groups cover 28 PIs across distinct clusters. The most prominent PIs by weighted works are Alexis Ogdie (99.6 weighted works; Psoriasis: Treatment and Pathogenesis, Spondyloarthritis Studies and Treatments). The strongest pairings are Charles E. Leonard and Sean Hennessy (56 shared works, weight 31.7); Joshua F. Baker and Michael George (47 shared works, weight 29). The strongest breakdown groups are group 1 with 10 PIs, 10 internal connections, weight 97.1, around Economics and Econometrics, Statistics and Probability, Epidemiology, led by Yong Chen, Bonnie Ky, Jason H. Moore.

University of Pennsylvania Biostatistics Epidemiology and Informatics Perelman Faculty... | ProfessorNet