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

Report summary

The 2018-2020 picture for The University of Texas at Austin Department of Molecular Biosciences is a 61-PI network with 77 internal PI collaborations. The main research signal is Biochemistry, Genetics and Molecular Biology as the leading field (49% of slots across 50 PIs; 50 labels), Molecular Biology as the leading subfield (33% of slots across 44 PIs; 44 labels), and RNA and protein synthesis mechanisms as the leading topic (8% of slots across 15 PIs; 15 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 Andrew D. Ellington (19 weighted works; CRISPR and Genetic Engineering, Advanced biosensing and bioanalysis techniques); Stephen F. Martin (16.8 weighted works; Synthetic Organic Chemistry Methods, Alkaloids: synthesis and pharmacology). The clearest collaboration lines are Kenneth A. Johnson and Tyler L. Dangerfield (6 shared works, weight 4.2); George Georgiou and Everett Stone (16 shared works, weight 3.9). The leading breakdown groups are group 1 with 6 PIs, 6 internal connections, weight 16.6, around Molecular Biology, Structural Biology, Genetics, led by Kenneth A. Johnson, David W. Taylor, Edward M. Marcotte.

The University of Texas at Austin Molecular Biosciences Faculty Co-authorship Network - 61 PIs,... | ProfessorNet