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Stanford University Department of Genetics in 2021-2023 reads as a 52-PI network with 90 internal PI collaborations. The dominant subject mix is Biochemistry, Genetics and Molecular Biology as the leading field (46% of slots across 43 PIs; 43 labels), Molecular Biology as the leading subfield (32% of slots across 37 PIs; 37 labels), and CRISPR and Genetic Engineering as the leading topic (5% of slots across 8 PIs; 8 labels). That is promising: collaboration is not just one large hairball, and the leading breakdown groups cover 16 PIs across distinct clusters. The leading PI names are Joseph C. Wu (55.1 weighted works; Pluripotent Stem Cells Research, Cardiomyopathy and Myosin Studies). The most visible ties are William J. Greenleaf and Anshul Kundaje (16 shared works, weight 6.5). The leading breakdown groups are group 1 with 6 PIs, 5 internal connections, weight 11.9, around Molecular Biology, Cardiology and Cardiovascular Medicine, Genetics, led by Joseph C. Wu, M Snyder, Euan A. Ashley; group 2 with 6 PIs, 5 internal connections, weight 16.7, around Molecular Biology, Immunology, Neurology, led by Howard Y. Chang, William J. Greenleaf, Polly M. Fordyce.

Stanford Genetics Faculty Co-authorship Network - 52 PIs, 90 collaborations | ProfessorNet