Sung Jun

Sung Jun's research focuses on radiation oncology outcomes, particularly for head and neck cancer, breast cancer, and lung cancer patients. A recurring theme is identifying blood-based and clinical markers (such as inflammation indices, neutrophil counts, and body mass index) that predict patient outcomes after chemoradiation, alongside studies on healthcare disparities related to race, income, and incarceration status. The work also explores machine learning approaches for building prognostic models in cancer treatment.

Publication output grew substantially from 2017 to a peak in 2023, with a somewhat reduced but still steady pace of around 11-13 papers per year through 2025.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026