Report summary

For University of Pittsburgh Department of Bioengineering in 2021-2023, the graph shows 120 visible PIs and 124 internal PI collaborations. The main research signal is Medicine as the leading field (41% of slots across 90 PIs; 90 labels), Biomedical Engineering as the leading subfield (7% of slots across 21 PIs; 21 labels), and EEG and Brain-Computer Interfaces as the leading topic (2% of slots across 8 PIs; 8 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 Xinyan Tracy Cui (21.1 weighted works; Neuroscience and Neural Engineering, Conducting polymers and applications). The clearest collaboration lines are Zhi‐Hong Mao and Mingui Sun (8 shared works, weight 5.3). The strongest breakdown groups are group 1 with 10 PIs, 9 internal connections, weight 8, around Molecular Biology, Radiology, Nuclear Medicine and Imaging, Pharmaceutical Science, led by Ian A. Sigal, Steven R. Little, Tagbo H. R. Niepa; group 2 with 10 PIs, 10 internal connections, weight 9.8, around Pulmonary and Respiratory Medicine, Molecular Biology, Hematology, led by Mark T. Gladwin, Yingze Zhang, Partha Dutta.