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For Princeton University Department of Molecular Biology in 2018-2020, the graph shows 41 visible PIs and 30 internal PI collaborations. The dominant subject mix is Biochemistry, Genetics and Molecular Biology as the leading field (43% of slots across 36 PIs; 36 labels), Molecular Biology as the leading subfield (26% of slots across 27 PIs; 27 labels), and Neurobiology and Insect Physiology Research 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 Mohammad R. Seyedsayamdost (28.1 weighted works; Microbial Natural Products and Biosynthesis, Genomics and Phylogenetic Studies). The most visible ties are José L. Avalos‬ and Jared E. Toettcher (6 shared works, weight 2.9); Bonnie L. Bassler and Jon E. Paczkowski (4 shared works, weight 2.6). The standout breakdown groups are group 1 with 6 PIs, 5 internal connections, weight 8.4, around Molecular Biology, Genetics, Endocrinology, led by Bonnie L. Bassler, Ned S. Wingreen, Zemer Gitai.