Papers

5

Total Citations

136

H-Index

5

About

Minkyung Shin is a leading researcher in surgical outcomes and health technology assessment, with a primary focus on the comparative effectiveness and economic implications of robotic-assisted surgery. Her work has been instrumental in evaluating how robotic, laparoscopic, and open surgical approaches perform across different cancer types, particularly in gynecologic and colorectal oncology. In a landmark nationwide cohort study (38 citations), she provided population-based evidence that minimally invasive surgery offers comparable oncologic outcomes to open surgery for endometrial cancer. Her highly cited 2023 paper on CUSUM learning curves (82 citations) critically examined the methodological limitations of using cumulative sum analysis to assess surgeon skill acquisition, offering essential guidance for surgical training and quality improvement. More recently, Shin has advanced the field by demonstrating improved 5-year survival with robotic-assisted resection for locally advanced rectal cancer compared to laparoscopic and open approaches, while also conducting a systematic review and meta-analysis on the costs and cost-effectiveness of robotic surgery in South Korea. Her research bridges clinical outcomes with health economics, providing crucial evidence for surgical decision-making and healthcare policy.

Research Focus

Key Achievements

5
H-Index
5
Papers
136
Total Citations
27
Avg Citations/Paper
🏆 Most Cited Paper
CUSUM learning curves: what they can and can’t tell us
82 citations · 2023
📈 Most Prolific Year: 2025 (3 Papers)
🤝 Key Collaborators: 22
🏛 Institutions: Intuitive Surgical (United States), Intuitive Surgical (Switzerland)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago