About

Andrea Gallioli is a prominent urological surgeon and researcher whose work sits at the cutting edge of robotic-assisted surgery, with a particular focus on kidney transplantation, partial nephrectomy, and uro-oncological procedures. His research has been instrumental in advancing the clinical adoption and technical refinement of robot-assisted kidney transplantation (RAKT), contributing to landmark multi-institutional European studies that have collectively shaped how the field understands learning curves, surgical outcomes, and long-term feasibility. His 2020 paper on the RAKT learning curve, now with 80 citations, remains a foundational reference for surgical training programs worldwide. Gallioli has also pioneered innovative approaches such as three-dimensional augmented reality guidance for transplantation in high-risk patients with atherosclerotic disease, and played a key role in developing cold ischemia devices compatible with both open and robotic platforms. His engagement with the European Robotic Urological Society (ERUS) working group underscores his collaborative, internationally oriented approach. More recently, his work on training standards, novel robotic platforms like the Hugo™ RAS system, and global adoption trends demonstrates a broadening scholarly vision. With over 400 cumulative citations, Gallioli represents a rising authority in robotic urology whose contributions are actively reshaping transplantation surgery.

Research Focus

Key Achievements

14
H-Index
37
Papers
607
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
Learning Curve in Robot-assisted Kidney Transplantation: Results from the European Robotic Urological Society Working Group
80 citations · 2020
📈 Most Prolific Year: 2024 (8 Papers)
🤝 Key Collaborators: 230
🏛 Institutions: Universitat Autònoma de Barcelona, Puigvert Foundation, University of Milan, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico

Top Papers

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    Robotic kidney transplantation
    27 citations · 2024
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago