Report summary

For Harvard University Department of Radiology in 2021-2023, the graph shows 120 visible PIs and 217 internal PI collaborations. The main research signal is Medicine as the leading field (48% of slots across 101 PIs; 101 labels), Radiology, Nuclear Medicine and Imaging as the leading subfield (20% of slots across 61 PIs; 61 labels), and Advanced MRI Techniques and Applications as the leading topic (6% of slots across 23 PIs; 23 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 Xiaofeng Liu (32.4 weighted works; Advanced Neural Network Applications, Cardiovascular and Diving-Related Complications). The clearest collaboration lines are Xiaofeng Liu and Jonghye Woo (29 shared works, weight 25.4). The strongest breakdown groups are group 1 with 10 PIs, 12 internal connections, weight 41.8, around Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, Neurology, led by Jian Kong, Emiliano Santarnecchi, Lauren J. O’Donnell; group 2 with 10 PIs, 11 internal connections, weight 22, around Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Neurology, led by Brian L. Edlow, Susie Y. Huang, Qiyuan Tian.