Report summary

The 2018-2020 picture for Stanford University Department of Biomedical Data Science is a 30-PI network with 54 internal PI collaborations. The research center of gravity is Biochemistry, Genetics and Molecular Biology as the leading field (33% of slots across 19 PIs; 19 labels), Genetics as the leading subfield (18% of slots across 13 PIs; 13 labels), and Genetic Associations and Epidemiology as the leading topic (7% of slots across 6 PIs; 6 labels). That is a nice sign for applicants and collaborators, because the network has both density and separable local groups. The top weighted PIs are John P. A. Ioannidis (60.4 weighted works; Meta-analysis and systematic reviews, Health Systems, Economic Evaluations, Quality of Life). The strongest pairings are Teri E. Klein and Russ B. Altman (12 shared works, weight 6.6); Michelle Whirl‐Carrillo and Teri E. Klein (24 shared works, weight 6). The standout breakdown groups are group 1 with 8 PIs, 8 internal connections, weight 14.4, around Genetics, Molecular Biology, Public Health, Environmental and Occupational Health, led by Euan A. Ashley, James Zou, Manuel A. Rivas.