Chung Un Lee

Samsung Medical Center, Chung-Ang University Hospital

Papers

4

Total Citations

31

H-Index

3

About

Chung Un Lee is a leading urologic surgeon and researcher whose work centers on advancing minimally invasive robotic surgery for urologic cancers. His primary research areas include robot-assisted radical cystectomy, partial nephrectomy, prostatectomy, and adrenalectomy, with a strong focus on improving perioperative outcomes and postoperative quality of life. Lee’s most cited study (14 citations) identifies predictors of complications after robot-assisted radical cystectomy with extracorporeal urinary diversion, providing critical guidance for patient selection and surgical planning. His 2023 review on robot-assisted partial nephrectomy (10 citations) synthesizes the evolution of nephron-sparing techniques, establishing RAPN as a safe, feasible standard for small renal masses. More recently, Lee has contributed comparative effectiveness research, demonstrating through propensity score matching that robot-assisted adrenalectomy yields perioperative outcomes comparable to laparoscopy (4 citations). His systematic review and meta-analysis on bladder neck sparing during robotic prostatectomy (3 citations) offers evidence-based insights into preserving urinary continence without compromising oncologic margins. Collectively, Lee’s work—spanning predictive modeling, technique refinement, and outcome comparisons—has shaped modern urologic robotics, earning him recognition as a key contributor to safer, more effective surgical care for patients with urologic malignancies.

Research Focus

Key Achievements

3
H-Index
4
Papers
31
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
<p>Predictors of postoperative complications after robot-assisted radical cystectomy with extracorporeal urinary diversion</p>
14 citations · 2019
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 22
🏛 Institutions: Samsung Medical Center, Chung-Ang University Hospital

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago