Report summary

The 2024-2026 picture for University of Arizona College of Pharmacy is a 34-PI network with 22 internal PI collaborations. The main research signal is Medicine as the leading field (29% of slots across 21 PIs; 21 labels), Molecular Biology as the leading subfield (19% of slots across 17 PIs; 17 labels), and Computational Drug Discovery Methods as the leading topic (5% of slots across 5 PIs; 5 labels). This is a solid, readable collaboration map: group-level fit matters more than a single department-wide label. The leading PI names are David R. Axon (26.2 weighted works; Asthma and respiratory diseases, Autoimmune and Inflammatory Disorders Research). The clearest collaboration lines are Velma Ganga Reddy and Gregory R. J. Thatcher (7 shared works, weight 5.7). The leading breakdown groups are group 1 with 9 PIs, 10 internal connections, weight 10.8, around Molecular Biology, Pharmaceutical Science, Computational Theory and Mathematics, led by Velma Ganga Reddy, Gregory R. J. Thatcher, Jason H. Karnes; group 2 with 8 PIs, 7 internal connections, weight 3.5, around Molecular Biology, Nephrology, Occupational Therapy, led by Rick G. Schnellmann, Wei Wang, Melissa Furlong.