Report summary

For Stanford University Department of Biomedical Data Science in 2022-2026, the graph shows 51 visible PIs and 91 internal PI collaborations. The main research signal is Medicine as the leading field (29% of slots across 30 PIs; 30 labels), Molecular Biology as the leading subfield (13% of slots across 16 PIs; 16 labels), and Single-cell and spatial transcriptomics as the leading topic (5% of slots across 7 PIs; 7 labels). That is a healthy pattern, with enough links to reveal several interpretable groups rather than one undifferentiated component. The most prominent PIs by weighted works are John P. A. Ioannidis (69.2 weighted works; Meta-analysis and systematic reviews, COVID-19 epidemiological studies). The clearest collaboration lines are James Zou and Eric Sun (8 shared works, weight 6.2). The strongest breakdown groups are group 1 with 10 PIs, 10 internal connections, weight 27, around Health Informatics, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, led by James Zou, Roxana Daneshjou, Akshay Chaudhari.