Report summary

The 2015-2017 picture for Stanford University Department of Biomedical Data Science is a 14-PI network with 5 internal PI collaborations. The main research signal is Biochemistry, Genetics and Molecular Biology as the leading field (25% of slots across 7 PIs; 7 labels), Statistics and Probability as the leading subfield (16% of slots across 5 PIs; 5 labels), and Statistical Methods and Inference as the leading topic (10% of slots across 4 PIs; 4 labels). That is a thin collaboration pattern, useful for spotting individual pairs but less persuasive as a broad departmental network. The leading PI names are John P. A. Ioannidis (44.5 weighted works; Meta-analysis and systematic reviews, Health Systems, Economic Evaluations, Quality of Life). The clearest collaboration lines are Ashley Zehnder and Carlos D. Bustamante (1 shared works, weight 0.6). The leading breakdown groups are group 1 with 6 PIs, 5 internal connections, weight 2, around Molecular Biology, Genetics, Rheumatology, led by Teri E. Klein, Daniel L. Rubin, Tina Hernandez‐Boussard.