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For Johns Hopkins University Department of Biomedical Engineering in 2024-2026, the graph shows 104 visible PIs and 104 internal PI collaborations. The main research signal is Medicine as the leading field (32% of slots across 63 PIs; 63 labels), Molecular Biology as the leading subfield (16% of slots across 40 PIs; 40 labels), and RNA Interference and Gene Delivery as the leading topic (3% of slots across 8 PIs; 8 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 Hanzhang Lu (18.1 weighted works; Advanced MRI Techniques and Applications, MRI in cancer diagnosis). The clearest collaboration lines are Jordan J. Green and Stephany Y. Tzeng (25 shared works, weight 6.5). The strongest breakdown groups are group 1 with 8 PIs, 8 internal connections, weight 17, around Molecular Biology, Surgery, Genetics, led by Tza‐Huei Wang, Hai‐Quan Mao, Jamie B. Spangler; group 2 with 7 PIs, 6 internal connections, weight 5.8, around Molecular Biology, Cell Biology, Genetics, led by Deok‐Ho Kim, Elana J. Fertig, Denis Wirtz.

Johns Hopkins Biomedical Engineering Faculty Co-authorship Network - 104 PIs, 104 collaborations | ProfessorNet