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For Stanford University Department of Biology in 2018-2020, the graph shows 75 visible PIs and 54 internal PI collaborations. The main research signal is Biochemistry, Genetics and Molecular Biology as the leading field (35% of slots across 45 PIs; 45 labels), Molecular Biology as the leading subfield (19% of slots across 33 PIs; 33 labels), and CRISPR and Genetic Engineering as the leading topic (2% of slots across 5 PIs; 5 labels). The network looks reasonably well-rounded, with visible collaboration groups but not so much concentration that one field explains the whole department. The most prominent PIs by weighted works are Marcus W. Feldman (16.3 weighted works; Evolutionary Game Theory and Cooperation, Evolution and Genetic Dynamics). The clearest collaboration lines are Liqun Luo and Hongjie Li (8 shared works, weight 5.3); Giulio A. De Leo and Susanne H. Sokolow (14 shared works, weight 5). The strongest breakdown groups are group 1 with 10 PIs, 10 internal connections, weight 18.3, around Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, led by Liqun Luo, Dominique C. Bergmann, Marc Tessier‐Lavigne; group 2 with 10 PIs, 12 internal connections, weight 17.5, around Global and Planetary Change, Nature and Landscape Conservation, Ecology, led by Erin A. Mordecai, Barbara A. Block, Tadashi Fukami.

Stanford Biology Faculty Co-authorship Network - 75 PIs, 54 collaborations | ProfessorNet