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The 2018-2020 picture for Yale University School of Medicine is a 120-PI network with 242 internal PI collaborations. The main research signal is Medicine as the leading field (50% of slots across 105 PIs; 105 labels), Molecular Biology as the leading subfield (6% of slots across 19 PIs; 19 labels), and Cancer Immunotherapy and Biomarkers as the leading topic (2% 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 Amer M. Zeidan (67.4 weighted works; Acute Myeloid Leukemia Research, Myeloproliferative Neoplasms: Diagnosis and Treatment). The clearest collaboration lines are Michael Alperovich and John A. Persing (53 shared works, weight 29.1). The leading breakdown groups are group 1 with 10 PIs, 9 internal connections, weight 70.3, around Clinical Psychology, Cognitive Neuroscience, Molecular Biology, led by Marc N. Potenza, Joel Gelernter, Hongyu Zhao.