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University of Minnesota Department of Radiology in 2015-2017 reads as a 23-PI network with 27 internal PI collaborations. The research center of gravity is Medicine as the leading field (54% of slots across 22 PIs; 22 labels), Radiology, Nuclear Medicine and Imaging as the leading subfield (26% of slots across 15 PIs; 15 labels), and Advanced MRI Techniques and Applications as the leading topic (16% of slots across 11 PIs; 11 labels). That is promising: collaboration is not just one large hairball, and the leading breakdown groups cover 19 PIs across distinct clusters. The most prominent PIs by weighted works are Michael Garwood (8.2 weighted works; Advanced MRI Techniques and Applications, Characterization and Applications of Magnetic Nanoparticles). The strongest pairings are Hamed Jalaeian and Jafar Golzarian (5 shared works, weight 3.2). The strongest breakdown groups are group 1 with 10 PIs, 15 internal connections, weight 10.4, around Radiology, Nuclear Medicine and Imaging, Neurology, Hematology, led by Michael Garwood, Silvia Mangia, Gülin Öz.

University of Minnesota Radiology Faculty Co-authorship Network - 23 PIs, 27 collaborations | ProfessorNet