Won Jun Kim

Papers

Total Citations

131

H-Index

About

Won Jun Kim is a pioneering surgeon-researcher whose work centers on the learning curve and clinical outcomes of robotic surgery, with a particular focus on gastric cancer treatment. His most-cited study, "Comprehensive Learning Curve of Robotic Surgery" (2019, 131 citations), provides a landmark analysis of complication-based learning curves in robotic gastrectomy, identifying specific learning-associated complications to guide safer surgical training. This work has become essential reading for institutions adopting robotic platforms, directly influencing how surgeons are mentored and how operative risks are managed during the learning phase. Kim’s research bridges the gap between surgical innovation and patient safety, offering evidence-based benchmarks that help reduce adverse events as surgeons master new technologies. His contributions are particularly impactful in minimally invasive oncology, where robotic precision is increasingly vital. By systematically mapping the relationship between surgeon experience and patient outcomes, Kim has helped establish a more rigorous, data-driven approach to surgical education—one that prioritizes both technical proficiency and complication prevention.