Papers

7

Total Citations

413

H-Index

7

About

Hong Man Yoon is a leading figure in the advancement of robotic surgery for gastric cancer, with a career dedicated to demonstrating that robotic techniques can match—and in specific contexts, surpass—traditional laparoscopic approaches. His research focuses on the comparative effectiveness of robot-assisted versus laparoscopically assisted gastrectomy, particularly for early-stage gastric cancer. Yoon’s seminal 2011 study (125 citations) established that robotic total gastrectomy is comparable to laparoscopic surgery for early gastric cancer, a finding reinforced by a second 2011 paper (102 citations) confirming similar outcomes in distal gastric cancer. He further refined this work by showing that robotic distal gastrectomy offers advantages in suprapancreatic nodal dissection (73 citations), a technically demanding procedure critical for accurate staging. His analysis of 200 consecutive robotic cases (37 citations) demonstrated that increasing surgical experience with the robot improves outcomes, while his 2015 study (37 citations) identified a specific benefit for viscerally obese patients, where the robotic system’s dexterity overcomes laparoscopic limitations. Beyond technical outcomes, Yoon has investigated health-related quality of life after robotic gastrectomy (20 citations) and postoperative complications like internal hernia (19 citations), ensuring a patient-centered perspective. With over 400 citations across his key works, Yoon’s contributions have helped establish robotic gastrectomy as a viable, and in some cases superior, option in gastric cancer surgery.

Research Focus

Key Achievements

7
H-Index
7
Papers
413
Total Citations
59
Avg Citations/Paper
🏆 Most Cited Paper
Robot-assisted total gastrectomy is comparable with laparoscopically assisted total gastrectomy for early gastric cancer
125 citations · 2011
📈 Most Prolific Year: 2011 (2 Papers)
🤝 Key Collaborators: 21
🏛 Institutions: National Cancer Research Institute, National Cancer Center

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago