Dong Wook Kim
Papers
6
Total Citations
274
H-Index
5
About
Dong Wook Kim is a pioneering surgeon-researcher whose work sits at the intersection of robotic surgery, oncology, and functional preservation. His primary research areas include the learning curve for robotic colorectal surgery, novel predictive models for renal function after partial nephrectomy, and innovative reconstructive techniques for head and neck cancers. Kim’s most impactful contribution is his multidimensional analysis of the learning curve for robotic low anterior resection for rectal cancer, which demonstrated a distinct three-phase learning process and provided the first comparative evidence that robotic surgery may offer a shorter learning curve than laparoscopic surgery—a finding cited over 137 times. In urologic oncology, he developed a novel mathematical model to predict postoperative functional decline after partial nephrectomy by calculating resected and ischemic volume, a tool that helps surgeons minimize chronic kidney disease risk. More recently, Kim has explored the feasibility of the “Jaw in a Day®” reconstruction technique combined with robotic neck dissection for oral cancer, pushing the boundaries of single-stage functional and aesthetic rehabilitation. With over 270 citations across his most-cited works, Kim’s research is shaping safer, more effective surgical practices and offering patients better functional outcomes.
Research Focus
Key Achievements
Top Papers
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- 4Clinical values of selective-clamp technique in robotic partial nephrectomy13 citations · 2014
- 5Is the learning curve of robotic low anterior resection shorter than laparoscopic low anterior resection for rectal cancer?: a comparative analysis of clinicopathologic outcomes between robotic and laparoscopic surgeries.10 citations · 2014
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