Dong-Eun Lee

National Cancer Center

Papers

2

Total Citations

20

H-Index

2

About

Dong-Eun Lee is a gynecologic surgeon and clinical researcher whose work focuses on the advancement of minimally invasive robotic surgical techniques, particularly in the context of hysterectomy and gynecologic disease management. Lee's research centers on evaluating surgical performance and optimizing outcomes through rigorous learning curve analyses, providing critical insight into how surgeons develop proficiency with emerging robotic platforms. Among Lee's most notable contributions are studies examining both multiport and single-site robot-assisted hysterectomy, published in 2022. The multiport robotic hysterectomy study has garnered 15 citations, reflecting meaningful engagement from the surgical community, while the single-site robotic hysterectomy analysis — drawing on a retrospective cohort of 123 patients at a single academic medical center — has accumulated 5 citations. Together, these works offer a comprehensive comparative perspective on the adoption of robotic surgical systems in gynecology. By systematically documenting the trajectory of surgical skill acquisition, Lee's research equips training programs and institutions with evidence-based benchmarks, ultimately helping to reduce operative risk during the critical early phases of robotic surgery adoption. Lee's contributions represent an important step forward in making advanced robotic gynecologic surgery safer and more accessible.

Research Focus

Key Achievements

2
H-Index
2
Papers
20
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Learning curve analysis of multiport robot-assisted hysterectomy
15 citations · 2022
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: National Cancer Center

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 17 days ago