Zoom in for PI names; click circles, group labels, and lines for PI, group, and connection details.
Rendering network...

Report summary

For University of Wisconsin–madison Department of Biomedical Engineering in 2018-2020, the graph shows 67 visible PIs and 125 internal PI collaborations. The main research signal is Medicine as the leading field (35% of slots across 50 PIs; 50 labels), Biomedical Engineering as the leading subfield (15% of slots across 27 PIs; 27 labels), and 3D Printing in Biomedical Research as the leading topic (7% of slots across 13 PIs; 13 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 Weibo Cai (44.7 weighted works; Nanoplatforms for cancer theranostics, Radiopharmaceutical Chemistry and Applications). The clearest collaboration lines are David J. Beebe and José M. Ayuso (16 shared works, weight 10.2); Diego Hernando and Scott B. Reeder (19 shared works, weight 9.1). The strongest breakdown groups are group 1 with 10 PIs, 13 internal connections, weight 28.4, around Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Obstetrics and Gynecology, led by Naomi C. Chesler, Sean B. Fain, Diego Hernando; group 2 with 9 PIs, 11 internal connections, weight 50.5, around Biomedical Engineering, Oncology, Cancer Research, led by Shaoqin Gong, David J. Beebe, Melissa C. Skala.

University of Wisconsin–madison Biomedical Engineering Faculty Co-authorship Network - 67 PIs,... | ProfessorNet