Report summary

For University of North Carolina at Chapel Hill Department of Biomedical Engineering in 2018-2020, the graph shows 29 visible PIs and 27 internal PI collaborations. The main research signal is Medicine as the leading field (33% of slots across 20 PIs; 20 labels), Biomedical Engineering as the leading subfield (14% of slots across 10 PIs; 10 labels), and Functional Brain Connectivity Studies as the leading topic (5% of slots across 4 PIs; 4 labels). The network looks reasonably well-rounded, with visible collaboration groups but not so much concentration that one field explains the whole department. The most prominent PIs by weighted works are Dinggang Shen (104.7 weighted works; Functional Brain Connectivity Studies, Neural dynamics and brain function). The clearest collaboration lines are Dinggang Shen and Pew‐Thian Yap (79 shared works, weight 41.2); Dinggang Shen and Weili Lin (87 shared works, weight 31.6). The strongest breakdown groups are group 1 with 7 PIs, 8 internal connections, weight 7.5, around Biomedical Engineering, Surgery, Oncology, led by Zhen Gu, Ke Cheng, Ashley C. Brown; group 2 with 7 PIs, 8 internal connections, weight 15.4, around Pulmonary and Respiratory Medicine, Biomedical Engineering, Cognitive Neuroscience, led by Brian Button, Mark Tommerdahl, Oleg V. Favorov.