Report summary

The 2015-2017 picture for Stanford University Department of Genetics is a 53-PI network with 81 internal PI collaborations. The main research signal is Biochemistry, Genetics and Molecular Biology as the leading field (53% of slots across 47 PIs; 47 labels), Molecular Biology as the leading subfield (32% of slots across 36 PIs; 36 labels), and CRISPR and Genetic Engineering as the leading topic (8% of slots across 13 PIs; 13 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 (18.5 weighted works; Bioinformatics and Genomic Networks, Cancer Genomics and Diagnostics); Russ B. Altman (17.7 weighted works; Bioinformatics and Genomic Networks, Computational Drug Discovery Methods). The clearest collaboration lines are Teri E. Klein and Russ B. Altman (18 shared works, weight 8.6). The leading breakdown groups are group 1 with 10 PIs, 9 internal connections, weight 20.3, around Molecular Biology, Cancer Research, Oncology, led by M Snyder, Russ B. Altman, Teri E. Klein.