Report summary

For University of Pittsburgh Department of Pharmaceutical Sciences in 2018-2020, the graph shows 23 visible PIs and 40 internal PI collaborations. The main research signal is Biochemistry, Genetics and Molecular Biology as the leading field (29% of slots across 15 PIs; 15 labels), Molecular Biology as the leading subfield (15% of slots across 9 PIs; 9 labels), and Computational Drug Discovery Methods as the leading topic (6% of slots across 4 PIs; 4 labels). That is a healthy pattern, with enough links to reveal several interpretable groups rather than one undifferentiated component. The most prominent PIs by weighted works are Peter Wipf (20.1 weighted works; Chemical synthesis and alkaloids, Bioactive Compounds and Antitumor Agents). The clearest collaboration lines are Xiang‐Qun Xie and Junmei Wang (16 shared works, weight 8.8); Xiang‐Qun Xie and Zhiwei Feng (18 shared works, weight 8.6). The strongest breakdown groups are group 1 with 10 PIs, 13 internal connections, weight 22, around Molecular Biology, Pharmacology, Genetics, led by Wen Xie, Song Li, Raman Venkataramanan.