Report summary

The 2021-2023 picture for Yale University Department of Radiology and Biomedical Imaging is a 56-PI network with 144 internal PI collaborations. The main research signal is Medicine as the leading field (56% of slots across 54 PIs; 54 labels), Radiology, Nuclear Medicine and Imaging as the leading subfield (24% of slots across 34 PIs; 34 labels), and Advanced MRI Techniques and Applications as the leading topic (7% of slots across 12 PIs; 12 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 Seyedmehdi Payabvash (23.8 weighted works; Advanced Neuroimaging Techniques and Applications, Radiomics and Machine Learning in Medical Imaging). The clearest collaboration lines are Ajay Malhotra and Seyedmehdi Payabvash (35 shared works, weight 14.8). The leading breakdown groups are group 1 with 10 PIs, 13 internal connections, weight 69.8, around Radiology, Nuclear Medicine and Imaging, Epidemiology, Cellular and Molecular Neuroscience, led by Seyedmehdi Payabvash, Dustin Scheinost, Ajay Malhotra; group 2 with 10 PIs, 14 internal connections, weight 51.2, around Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Internal Medicine, led by Chi Liu, Albert J. Sinusas, Edward J. Miller.