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

Report summary

Texas A&m University Department of Biomedical Engineering in 2015-2026 reads as a 75-PI network with 150 internal PI collaborations. The dominant subject mix is Engineering as the leading field (29% of slots across 46 PIs; 46 labels), Biomedical Engineering as the leading subfield (21% of slots across 42 PIs; 42 labels), and 3D Printing in Biomedical Research as the leading topic (3% of slots across 7 PIs; 7 labels). That is promising: collaboration is not just one large hairball, and the leading breakdown groups cover 18 PIs across distinct clusters. The leading PI names are Dmitry Kurouski (145.7 weighted works; Alzheimer's disease research and treatments, Spectroscopy Techniques in Biomedical and Chemical Research). The most visible ties are Vladislav V. Yakovlev and Maria Troyanova‐Wood (16 shared works, weight 12.4). The leading breakdown groups are group 1 with 7 PIs, 6 internal connections, weight 31.8, around Biomedical Engineering, Molecular Biology, Oncology, led by Akhilesh K. Gaharwar, Abhishek Jain, Daniel L. Alge.

Texas A&m Biomedical Engineering Faculty Co-authorship Network - 75 PIs, 150 collaborations | ProfessorNet