Report summary

The 2024-2026 picture for Stanford University Department of Biomedical Data Science is a 36-PI network with 41 internal PI collaborations. The research center of gravity is Biochemistry, Genetics and Molecular Biology as the leading field (31% of slots across 22 PIs; 22 labels), Molecular Biology as the leading subfield (12% of slots across 11 PIs; 11 labels), and Cell Image Analysis Techniques as the leading topic (7% of slots across 7 PIs; 7 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 (25.5 weighted works; scientometrics and bibliometrics research, Meta-analysis and systematic reviews). The strongest pairings are James Zou and Eric Sun (6 shared works, weight 4.7). The standout breakdown groups are group 1 with 10 PIs, 9 internal connections, weight 13.8, around Artificial Intelligence, Health Informatics, Biophysics, led by James Zou, Roxana Daneshjou, Tina Hernandez‐Boussard; group 2 with 8 PIs, 8 internal connections, weight 8.5, around Cancer Research, Oncology, Genetics, led by Allison W. Kurian, Xianghao Zhan, Olivier Gevaert.