Papers

26

Total Citations

828

H-Index

17

About

Hyun Moo Lee is a prominent urological surgeon and researcher whose work has significantly advanced minimally invasive and robotic surgical techniques for urological cancers, particularly prostate, kidney, and bladder cancers. His research has focused on optimizing robotic-assisted laparoscopic procedures, refining surgical decision-making through advanced imaging, and rigorously comparing outcomes across open, laparoscopic, and robotic approaches. Among his most influential contributions, Lee has demonstrated the value of multiparametric 3.0-T MRI in guiding nerve-sparing decisions during robotic prostatectomy (96 citations) and established the importance of membranous urethral length in predicting post-surgical continence recovery. His investigations into warm ischemia during partial nephrectomy (88 citations) have meaningfully shaped understanding of renal function preservation, while his comparative studies of radical cystectomy approaches have provided clinicians with critical outcome data across surgical platforms. Collectively, his ten most-cited papers have accumulated over 560 citations, reflecting broad influence across the urological surgery community. Lee's body of work is distinguished by its consistent single-surgeon methodology, allowing unusually rigorous comparisons free from inter-operator variability — a methodological strength that has made his findings particularly trusted and widely referenced by surgeons and researchers worldwide.

Research Focus

Key Achievements

17
H-Index
26
Papers
828
Total Citations
32
Avg Citations/Paper
🏆 Most Cited Paper
Influence of Magnetic Resonance Imaging in the Decision to Preserve or Resect Neurovascular Bundles at Robotic Assisted Laparoscopic Radical Prostatectomy
96 citations · 2014
📈 Most Prolific Year: 2014 (5 Papers)
🤝 Key Collaborators: 51
🏛 Institutions: Samsung Medical Center, Sungkyunkwan University, Kyungpook National University Hospital

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago