Report summary

The 2015-2017 picture for University of Pittsburgh Department of Chemistry is a 34-PI network with 18 internal PI collaborations. The main research signal is Biochemistry, Genetics and Molecular Biology as the leading field (20% of slots across 16 PIs; 16 labels), Molecular Biology as the leading subfield (16% of slots across 14 PIs; 14 labels), and Advanced biosensing and bioanalysis techniques as the leading topic (4% of slots across 4 PIs; 4 labels). This is a solid, readable collaboration map: group-level fit matters more than a single department-wide label. The leading PI names are Valerian E. Kagan (16.1 weighted works; Mitochondrial Function and Pathology, Advanced Nanomaterials in Catalysis). The clearest collaboration lines are Valerian E. Kagan and Alexander Star (6 shared works, weight 2.9). The leading breakdown groups are group 1 with 6 PIs, 5 internal connections, weight 6, around Materials Chemistry, Molecular Biology, Biomedical Engineering, led by Sunil Saxena, Haitao Liu, Shigeru Amemiya.