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Report summary

For University of California, San Francisco Department of Epidemiology and Biostatistics in 2018-2020, the graph shows 97 visible PIs and 168 internal PI collaborations. The dominant subject mix is Medicine as the leading field (45% of slots across 74 PIs; 74 labels), Epidemiology as the leading subfield (8% of slots across 19 PIs; 19 labels), and HIV/AIDS Research and Interventions as the leading topic (4% of slots across 12 PIs; 12 labels). That is a healthy pattern, with enough links to reveal several interpretable groups rather than one undifferentiated component. The top weighted PIs are Benjamin N. Breyer (36.6 weighted works; Urological Disorders and Treatments, Genital Health and Disease). The most visible ties are Jeremy D. Keenan and Thomas M. Lietman (58 shared works, weight 18.9); Catherine E. Oldenburg and Thomas M. Lietman (37 shared works, weight 18.1). The standout breakdown groups are group 1 with 10 PIs, 19 internal connections, weight 153.5, around Ophthalmology, Epidemiology, Infectious Diseases, led by Catherine E. Oldenburg, Jeremy D. Keenan, John A. Gonzales.

University of California, San Francisco Epidemiology and Biostatistics Faculty Co-authorship... | ProfessorNet