Francis Schanne

Urology Associates, University Surgical Associates

Papers

11

Total Citations

988

H-Index

10

About

Francis Schanne is a leading urologic surgeon and researcher whose work has fundamentally shaped the modern approach to robot-assisted radical cystectomy (RARC) for bladder cancer. As a key contributor to the International Robotic Cystectomy Consortium (IRCC), his research focuses on refining surgical techniques, improving perioperative outcomes, and establishing the oncologic safety of robotic approaches. Schanne’s landmark studies, including those on the learning curve (238 citations) and complications after RARC (225 citations), have provided essential benchmarks for surgeons adopting this technology. His work on surgical margin status (112 citations) and lymphadenectomy (105 citations) demonstrated that robotic surgery could achieve oncologic standards comparable to open surgery, while his comparative analysis of intracorporeal versus extracorporeal urinary diversion (89 citations) offered critical guidance for optimizing recovery. Notably, his ten-year oncologic outcomes study (70 citations) provided long-term evidence supporting the durability of robotic cystectomy. Through the IRCC’s large, multi-institutional database, Schanne has systematically evaluated surgeon volume, operative times, and advanced disease management, establishing evidence-based guidelines that have helped standardize RARC worldwide. His contributions have been instrumental in validating robotic surgery as a safe, effective option for patients with bladder cancer.

Research Focus

Key Achievements

10
H-Index
11
Papers
988
Total Citations
90
Avg Citations/Paper
🏆 Most Cited Paper
The Learning Curve of Robot-Assisted Radical Cystectomy: Results from the International Robotic Cystectomy Consortium
238 citations · 2010
📈 Most Prolific Year: 2010 (4 Papers)
🤝 Key Collaborators: 100
🏛 Institutions: Urology Associates, University Surgical Associates

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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