Report summary

For Stanford University Department of Genetics in 2024-2026, the graph shows 42 visible PIs and 28 internal PI collaborations. The dominant subject mix is Biochemistry, Genetics and Molecular Biology as the leading field (44% of slots across 35 PIs; 35 labels), Molecular Biology as the leading subfield (27% of slots across 26 PIs; 26 labels), and CRISPR and Genetic Engineering as the leading topic (3% of slots across 4 PIs; 4 labels). The network looks reasonably well-rounded, with visible collaboration groups but not so much concentration that one field explains the whole department. The top weighted PIs are M Snyder (13.1 weighted works; Connexins and lens biology, Ethics in Clinical Research). The most visible ties are Eric Sun and Anne Brunet (7 shared works, weight 4.8). The standout breakdown groups are group 1 with 7 PIs, 7 internal connections, weight 8.8, around Molecular Biology, Public Health, Environmental and Occupational Health, Biophysics, led by M Snyder, Eric Sun, Christina Curtis; group 2 with 7 PIs, 6 internal connections, weight 3.8, around Molecular Biology, Ecology, Plant Science, led by Stephen B. Montgomery, Ami S. Bhatt, Gavin Sherlock.