About

Mattia Sangalli is a urological surgeon and researcher whose work has significantly advanced the field of robotic and minimally invasive urology. His research spans robotic partial nephrectomy, robot-assisted pyeloplasty, radical prostatectomy, and complex urinary reconstructive procedures, establishing him as a leading voice in the technical refinement and clinical application of robotic surgical platforms. Sangalli's most impactful contribution — his 2010 study on the learning curve in robotic partial nephrectomy, cited nearly 250 times — provided crucial data guiding surgeons and training programs worldwide. His early work on robotic laparoendoscopic single-site pyeloplasty and retroperitoneal approaches further demonstrated his commitment to pushing the boundaries of surgical innovation. Notably, he was among the first to describe clinical cases using emerging robotic systems including the Versius and Hugo RAS platforms, reflecting his role as an early adopter and evaluator of next-generation technologies. Beyond oncology and reconstruction, Sangalli has meaningfully addressed quality-of-life outcomes, investigating the relationship between perineal body tone and post-prostatectomy continence, and pioneering autologous sling techniques to improve recovery. His breadth of contributions — spanning operative technique, outcomes research, and functional recovery — makes his body of work essential reading for trainees and practicing urologists alike.

Research Focus

Key Achievements

14
H-Index
26
Papers
748
Total Citations
29
Avg Citations/Paper
🏆 Most Cited Paper
Impact of the Learning Curve on Perioperative Outcomes in Patients Who Underwent Robotic Partial Nephrectomy for Parenchymal Renal Tumours
249 citations · 2010
📈 Most Prolific Year: 2023 (10 Papers)
🤝 Key Collaborators: 104
🏛 Institutions: Onze Lieve Vrouwziekenhuis Hospital, Vita-Salute San Raffaele University, Azienda Socio Sanitaria Territoriale Santi Paolo e Carlo, San Raffaele University of Rome, IRCCS Istituto Auxologico Italiano, University of Milan

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago