Jae Geun Lee

Yonsei University, Chungnam National University

Papers

5

Total Citations

167

H-Index

5

About

Jae Geun Lee is a surgical researcher whose work has made significant contributions to the field of minimally invasive organ transplantation, with a particular focus on living donor hepatectomy techniques. His research centers on advancing robotic and laparoscopic approaches to living donor right hepatectomy, rigorously evaluating their feasibility, safety, and comparative outcomes against traditional open surgical methods. Lee's most influential work, "Outcomes of Robotic Living Donor Right Hepatectomy From 52 Consecutive Cases" (2020, 86 citations), was among the first studies to examine robotic living donor right hepatectomy (RLDRH) in a relatively large donor cohort, establishing a critical evidence base for this emerging technique. His subsequent comparative analyses have clarified the learning curves and performance differences between robotic and laparoscopic approaches, offering transplant surgeons evidence-based guidance for procedural selection. His 2024 propensity score–matched study further extended this work by examining long-term recipient outcomes, a dimension previously underexplored in the literature. Collectively accumulating over 160 citations, Lee's research has meaningfully shaped the trajectory of minimally invasive transplant surgery. His breadth also extends into urogynecology, reflecting a versatile surgical research perspective. His work remains essential reading for transplant surgeons and surgical researchers pursuing safer, less invasive donor procedures.

Research Focus

Key Achievements

5
H-Index
5
Papers
167
Total Citations
33
Avg Citations/Paper
🏆 Most Cited Paper
Outcomes of Robotic Living Donor Right Hepatectomy From 52 Consecutive Cases
86 citations · 2020
📈 Most Prolific Year: 2020 (2 Papers)
🤝 Key Collaborators: 20
🏛 Institutions: Yonsei University, Chungnam National University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago