Report summary

For University of Michigan–ann Arbor Department of Epidemiology in 2015-2026, the graph shows 116 visible PIs and 444 internal PI collaborations. The dominant subject mix is Medicine as the leading field (37% of slots across 83 PIs; 83 labels), Epidemiology as the leading subfield (7% of slots across 21 PIs; 21 labels), and COVID-19 epidemiological studies as the leading topic (4% of slots across 12 PIs; 12 labels). That is a healthy pattern, with enough links to reveal several interpretable groups rather than one undifferentiated component. The top weighted PIs are Bhramar Mukherjee (67.8 weighted works; COVID-19 Clinical Research Studies, COVID-19 epidemiological studies); Abram L. Wagner (66.2 weighted works; Vaccine Coverage and Hesitancy, COVID-19 epidemiological studies). The most visible ties are Lewis B. Morgenstern and Lynda D. Lisabeth (106 shared works, weight 59.2); Abram L. Wagner and Matthew L. Boulton (83 shared works, weight 47). The standout breakdown groups are group 1 with 10 PIs, 10 internal connections, weight 164.1, around Endocrinology, Diabetes and Metabolism, Health, Toxicology and Mutagenesis, Molecular Biology, led by Bhramar Mukherjee, Sung Kyun Park, Kelly M. Bakulski; group 2 with 10 PIs, 12 internal connections, weight 207.7, around Public Health, Environmental and Occupational Health, Psychiatry and Mental health, Epidemiology, led by Lindsay C. Kobayashi, Lewis B. Morgenstern, Kenneth M. Langa.