Report summary

University of Arizona Department of Pharmacology in 2024-2026 reads as a 29-PI network with 19 internal PI collaborations. The dominant subject mix is Biochemistry, Genetics and Molecular Biology as the leading field (29% of slots across 18 PIs; 18 labels), Molecular Biology as the leading subfield (21% of slots across 16 PIs; 16 labels), and Computational Drug Discovery Methods as the leading topic (5% of slots across 4 PIs; 4 labels). Overall the pattern is balanced: there is enough structure to identify active groups, while the field mix still leaves room for multiple research identities. The leading PI names are Saurav Mallik (20.9 weighted works; AI in cancer detection, Artificial Intelligence in Healthcare). The most visible ties are Frank Porreca and Edita Navratilova (18 shared works, weight 8.6). The leading breakdown groups are group 1 with 8 PIs, 7 internal connections, weight 4.5, around Molecular Biology, Pharmacology, Nephrology, led by Rick G. Schnellmann, Wei Wang, Jianqin Lu; group 2 with 6 PIs, 7 internal connections, weight 9.2, around Pharmaceutical Science, Organic Chemistry, Molecular Biology, led by Velma Ganga Reddy, Gregory R. J. Thatcher, Haining Zhu.