Papers
14
Total Citations
955
H-Index
11
About
Young-Woo Kim is a leading surgical oncologist whose research has fundamentally shaped the adoption and refinement of robotic gastrectomy for gastric cancer. His work centers on comparing robotic and laparoscopic surgical approaches, with a particular focus on short-term outcomes, learning curves, and patient quality of life. Kim’s landmark multicenter prospective study (316 citations) provided critical evidence on the financial costs and surgical performance of robotic versus laparoscopic gastrectomy, while his comprehensive analysis of the complication-based learning curve (131 citations) established essential benchmarks for safe robotic surgery adoption. His investigations have demonstrated that robotic gastrectomy offers particular benefits in suprapancreatic nodal dissection and for viscerally obese patients, and he has shown that robot-assisted total gastrectomy is comparable to laparoscopic approaches for early gastric cancer. With over 900 citations across his most influential papers, Kim has also explored health-related quality of life after robotic surgery and identified risk factors for internal hernia post-gastrectomy. His work continues to guide surgeons worldwide in optimizing minimally invasive techniques for gastric cancer treatment.
Research Focus
Key Achievements
Top Papers
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- 2Comprehensive Learning Curve of Robotic Surgery131 citations · 2019
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