Hung‐Chen Kan

Chang Gung University, Chang Gung Memorial Hospital

Papers

3

Total Citations

5

H-Index

2

About

Hung-Chen Kan is a urological surgeon and researcher whose work centers on improving surgical outcomes through predictive modeling, particularly in robotic-assisted procedures. His major contributions lie in developing simplified, clinically applicable risk assessment tools for two key areas: post-prostatectomy urinary incontinence and hemorrhagic complications in partial nephrectomy. In his 2024 study on early post-prostatectomy incontinence recovery, Kan integrated clinical and image-based parameters to create a user-friendly nomogram, enabling more precise prediction of recovery after robotic-assisted radical prostatectomy. His parallel work on renal angiomyolipoma and renal tumors established straightforward risk models based on tumor diameter and depth to predict bleeding events during robotic-assisted partial nephrectomy. Though early in his career, with each of his most-cited papers garnering 1-2 citations, Kan’s research demonstrates a clear focus on translating complex surgical risk factors into practical, bedside tools that can directly guide preoperative counseling and surgical planning. His work represents a valuable step toward personalized risk stratification in minimally invasive urologic oncology.

Research Focus

Key Achievements

2
H-Index
3
Papers
5
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Integrating clinical and image-based parameters for prediction of early post-prostatectomy incontinence recovery: simplified nomogram approach
2 citations · 2024
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 19
🏛 Institutions: Chang Gung University, Chang Gung Memorial Hospital

Top Papers

  1. 1
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  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago