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

Report summary

The 2015-2017 picture for University of Pittsburgh Department of Pathology is a 65-PI network with 68 internal PI collaborations. The main research signal is Medicine as the leading field (47% of slots across 54 PIs; 54 labels), Molecular Biology as the leading subfield (14% of slots across 24 PIs; 24 labels), and Liver physiology and pathology as the leading topic (4% of slots across 7 PIs; 7 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 Mark H. Yazer (17.7 weighted works; Blood transfusion and management, Blood donation and transfusion practices); Valerian E. Kagan (16.1 weighted works; Mitochondrial Function and Pathology, Advanced Nanomaterials in Catalysis). The clearest collaboration lines are Satdarshan P. Monga and Kari Nejak‐Bowen (11 shared works, weight 7.4); Aleksandar Rajkovic and Svetlana A. Yatsenko (12 shared works, weight 6.6). The leading breakdown groups are group 1 with 10 PIs, 11 internal connections, weight 25.3, around Hepatology, Molecular Biology, Surgery, led by Satdarshan P. Monga, Jianhua Luo, Alejandro Soto–Gutiérrez; group 2 with 10 PIs, 10 internal connections, weight 13.1, around Genetics, Pathology and Forensic Medicine, Molecular Biology, led by Aleksandar Rajkovic, Svetlana A. Yatsenko, Steven H. Swerdlow.

University of Pittsburgh Pathology Faculty Co-authorship Network - 65 PIs, 68 collaborations | ProfessorNet