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The 2015-2026 picture for University of Rochester Medical Center Department of Biostatistics and Computational Biology is a 11-PI network with 5 internal PI collaborations. The research center of gravity is Biochemistry, Genetics and Molecular Biology as the leading field (18% of slots across 4 PIs; 4 labels), Molecular Biology as the leading subfield (15% of slots across 4 PIs; 4 labels), and Bioinformatics and Genomic Networks as the leading topic (9% of slots across 3 PIs; 3 labels). That is a thin collaboration pattern, useful for spotting individual pairs but less persuasive as a broad departmental network. The top weighted PIs are Daniel Lachant (40.7 weighted works; Pulmonary Hypertension Research and Treatments, Venous Thromboembolism Diagnosis and Management). The strongest pairings are Juilee Thakar and Xing Qiu (3 shared works, weight 0.8); Matthew N. McCall and Xing Qiu (3 shared works, weight 0.8). The standout breakdown groups are group 1 with 5 PIs, 5 internal connections, weight 2.3, around Molecular Biology, Radiology, Nuclear Medicine and Imaging, Immunology, led by David H. Mathews, Matthew N. McCall, Juilee Thakar.

University of Rochester Medical Center Biostatistics and Computational Biology Faculty... | ProfessorNet