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The 2015-2026 picture for The University of Texas at Austin Department of Biomedical Engineering is a 81-PI network with 156 internal PI collaborations. The main research signal is Engineering as the leading field (22% of slots across 36 PIs; 36 labels), Biomedical Engineering as the leading subfield (15% of slots across 29 PIs; 29 labels), and Photoacoustic and Ultrasonic Imaging as the leading topic (3% of slots across 6 PIs; 6 labels). That is a nice sign for applicants and collaborators, because the network has both density and separable local groups. The leading PI names are Yuebing Zheng (143.5 weighted works; Plasmonic and Surface Plasmon Research, Microfluidic and Bio-sensing Technologies). The clearest collaboration lines are Luigi Di Biase and Andrea Natale (45 shared works, weight 22.5). The leading breakdown groups are group 1 with 9 PIs, 9 internal connections, weight 49.1, around Molecular Biology, Atomic and Molecular Physics, and Optics, Cell Biology, led by Jeanne C. Stachowiak, Hugh D. C. Smyth, Pengyu Ren.

The University of Texas at Austin Biomedical Engineering Faculty Co-authorship Network - 81 PIs,... | ProfessorNet