Report summary

The 2022-2026 picture for Stanford University Department of Genetics is a 63-PI network with 93 internal PI collaborations. The main research signal is Biochemistry, Genetics and Molecular Biology as the leading field (49% of slots across 54 PIs; 54 labels), Molecular Biology as the leading subfield (33% of slots across 45 PIs; 45 labels), and CRISPR and Genetic Engineering as the leading topic (4% of slots across 8 PIs; 8 labels). That is a nice sign for applicants and collaborators, because the network has both density and separable local groups. The leading PI names are M Snyder (35.6 weighted works; Metabolomics and Mass Spectrometry Studies, Diet and metabolism studies). The clearest collaboration lines are William J. Greenleaf and Anshul Kundaje (16 shared works, weight 6.5); Monte M. Winslow and Jess D. Hebert (9 shared works, weight 6.3). The leading breakdown groups are group 1 with 10 PIs, 11 internal connections, weight 24, around Molecular Biology, Cancer Research, Biomedical Engineering, led by M Snyder, William J. Greenleaf, Polly M. Fordyce.