Yi‐Chan Lee
Papers
1
Total Citations
4
H-Index
1
About
Yi‐Chan Lee is a prominent surgical researcher whose work centers on advancing minimally invasive techniques in head and neck oncology. His major contributions lie in evaluating the efficacy and safety of robot-assisted surgery, particularly through rigorous systematic reviews and meta-analyses. His most-cited paper, "Robot-assisted versus conventional neck dissection in head and neck cancers: A systematic review and meta-analysis" (2024), synthesizes evidence to compare outcomes of robotic versus traditional approaches, highlighting reduced morbidity and improved precision. This work has garnered early attention with 4 citations, reflecting its growing influence in the field. Beyond this, Lee’s research portfolio explores innovations in surgical oncology, aiming to optimize patient recovery and oncologic outcomes. His findings are pivotal for surgeons and trainees seeking evidence-based guidance on adopting robotic techniques, positioning him as a key voice in the evolution of head and neck cancer surgery.
Research Focus
Key Achievements
Top Papers
- 1