About

Daniele Mattevi is a leading urologic surgeon whose research focuses on advancing robotic-assisted surgery for kidney and prostate cancers. His seminal 2016 prospective cohort study (78 citations) demonstrated that robotic-assisted partial nephrectomy provides superior operative outcomes compared to laparoscopic and open approaches, establishing a new standard in nephron-sparing surgery. Mattevi pioneered fluorescence-guided selective arterial clamping during robotic partial nephrectomy (40 citations), showing improved early functional outcomes on renal scans versus standard clamping. His work on radical prostatectomy includes a landmark comparative analysis of retropubic, laparoscopic, and robotic approaches (35 citations), and a randomized clinical trial questioning the necessity of surgical drains after robotic prostatectomy (29 citations). Mattevi also identified body mass index as an independent predictor of major complications in patients undergoing robot-assisted radical prostatectomy with extensive lymph node dissection (39 citations). His recent contributions include evaluating predictors of trainee proficiency during the learning curve for robotic prostatectomy at high-volume institutions (21 citations) and describing posterior reconstruction techniques during robotic cystectomy with neobladder formation (17 citations). Mattevi’s research has fundamentally shaped perioperative protocols and surgical training in robotic urologic oncology.

Research Focus

Key Achievements

9
H-Index
12
Papers
305
Total Citations
25
Avg Citations/Paper
🏆 Most Cited Paper
Robotic-assisted partial nephrectomy provides better operative outcomes as compared to the laparoscopic and open approaches: results from a prospective cohort study
78 citations · 2016
📈 Most Prolific Year: 2018 (3 Papers)
🤝 Key Collaborators: 77
🏛 Institutions: Ospedale Santa Chiara, Azienda Ospedaliera Universitaria Integrata Verona, Integrated Oncology (United States), University of Verona

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago