Hwan Kim
Papers
2
Total Citations
47
H-Index
2
About
Hwan Kim is a pioneering surgeon-researcher whose work centers on advancing robotic surgery for head and neck cancer, with a particular focus on transoral robotic surgery (TORS) and robot-assisted neck dissection (RAND). His major contributions include providing the first-ever analysis of the learning curve for RAND, a critical step in standardizing this minimally invasive technique for managing regional metastases. Kim also conducted a landmark comparison of the da Vinci Xi and Si surgical systems for TORS, offering essential workflow guidance and evaluating the pros and cons of the newer platform. These studies, cited 26 and 21 times respectively, have helped shape surgical practice by demonstrating the feasibility and safety of these advanced robotic approaches. By systematically documenting the adoption curve and technical nuances of robotic head and neck surgery, Kim has provided a roadmap for other surgeons transitioning to these technologies, ultimately improving patient outcomes through reduced invasiveness and enhanced precision. His work remains foundational for clinicians and researchers seeking to refine robotic techniques in oncologic surgery.
Research Focus
Key Achievements
Top Papers
- 1
- 2Learning Curve for Robot-Assisted Neck Dissection in Head and Neck Cancer21 citations · 2014