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The 2021-2023 picture for Stanford University Department of Neurosurgery is a 51-PI network with 92 internal PI collaborations. The main research signal is Medicine as the leading field (52% of slots across 45 PIs; 45 labels), Neurology as the leading subfield (12% of slots across 16 PIs; 16 labels), and Glioma Diagnosis and Treatment as the leading topic (5% 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 Jeremy J. Heit (27.3 weighted works; Acute Ischemic Stroke Management, Venous Thromboembolism Diagnosis and Management). The clearest collaboration lines are Antonio Meola and Steven D. Chang (20 shared works, weight 9.7). The leading breakdown groups are group 1 with 6 PIs, 7 internal connections, weight 21.6, around Pathology and Forensic Medicine, Surgery, Computer Vision and Pattern Recognition, led by Corinna C. Zygourakis, Anand Veeravagu, Ethan Schonfeld.

Stanford Neurosurgery Faculty Co-authorship Network - 51 PIs, 92 collaborations | ProfessorNet