Report summary

For University of Pittsburgh Department of Radiology in 2015-2026, the graph shows 54 visible PIs and 103 internal PI collaborations. The main research signal is Medicine as the leading field (55% of slots across 48 PIs; 48 labels), Radiology, Nuclear Medicine and Imaging as the leading subfield (21% of slots across 29 PIs; 29 labels), and Advanced MRI Techniques and Applications as the leading topic (6% of slots across 10 PIs; 10 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 Howard Aizenstein (37.3 weighted works; Functional Brain Connectivity Studies, Dementia and Cognitive Impairment Research); Jiantao Pu (37.3 weighted works; Radiomics and Machine Learning in Medical Imaging, Lung Cancer Diagnosis and Treatment). The clearest collaboration lines are Juhun Lee and Robert M. Nishikawa (29 shared works, weight 21.4); Beth E. Snitz and William E. Klunk (69 shared works, weight 20.9). The strongest breakdown groups are group 1 with 10 PIs, 12 internal connections, weight 102.9, around Radiology, Nuclear Medicine and Imaging, Physiology, Psychiatry and Mental health, led by Howard Aizenstein, Beth E. Snitz, William E. Klunk.