Papers

4

Total Citations

82

H-Index

4

About

Aung Myint Oo is a leading researcher in the field of minimally invasive gastrointestinal surgery, with a particular focus on the learning curves associated with advanced laparoscopic and robotic techniques. His work systematically evaluates the transition from traditional open procedures to robotic and laparoscopic approaches for gastric and esophageal cancers. Oo’s major contributions include comprehensive meta-analyses that define the number of cases surgeons need to achieve proficiency in complex operations like total and distal gastrectomy, as well as esophagectomy. His 2023 study on the learning curve of laparoscopic and robotic total gastrectomy has garnered 28 citations, while his earlier 2015 work comparing robotic and three-dimensional laparoscopic suturing performance—across operators of varying experience—also holds 28 citations. These studies are pivotal for surgical training and credentialing, offering evidence-based benchmarks that reduce patient risk during the adoption of new technologies. Oo’s research has been instrumental in demonstrating that while minimally invasive esophagectomy offers superior outcomes, it demands a steep learning curve, with his pooled analyses guiding how many cases are needed to master these challenging procedures. His work directly impacts how surgical teams worldwide plan and implement robotic and laparoscopic programs.

Research Focus

Key Achievements

4
H-Index
4
Papers
82
Total Citations
21
Avg Citations/Paper
🏆 Most Cited Paper
Learning curve of laparoscopic and robotic total gastrectomy: A systematic review and meta-analysis
28 citations · 2023
📈 Most Prolific Year: 2023 (3 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: National University of Singapore, Tan Tock Seng Hospital

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago