Doosup Shin
Papers
1
Total Citations
4
H-Index
1
About
Dr. Doosup Shin is a pioneering surgeon whose research focuses on optimizing robotic-assisted gastrectomy for gastric cancer, particularly during the critical learning phase for surgical teams. His most cited work, a 2015 study analyzing the major factors influencing operative time, dissects the procedure into four detailed steps—preparing, docking, and console time—to identify efficiency bottlenecks. By employing correlation analysis and multivariate linear regression, Dr. Shin demonstrated that targeted refinements in these steps can significantly reduce surgical duration without compromising patient outcomes. This contribution has garnered 4 citations and provides a practical roadmap for institutions adopting robotic gastrectomy, helping to flatten the learning curve and improve procedural safety. His research underscores a commitment to advancing minimally invasive oncology through data-driven surgical technique optimization. Dr. Shin’s work is essential reading for surgeons and trainees seeking to master robotic gastrectomy with greater precision and efficiency, ultimately enhancing recovery for cancer patients.
Research Focus
Key Achievements
Top Papers
- 1