Papers

26

Total Citations

715

H-Index

16

About

Graziano Vignolini is a leading urological surgeon and researcher whose work has profoundly shaped the field of robotic and minimally invasive urological surgery, with a particular focus on robot-assisted kidney transplantation (RAKT). Based at the University of Florence, Vignolini has been instrumental in pioneering and refining RAKT techniques, contributing foundational studies that established the procedure's safety, feasibility, and clinical advantages across diverse patient populations, including obese recipients and those receiving grafts from deceased donors. His research has driven the adoption of RAKT across Europe, as evidenced by his leadership within the European Robotic Urology Section (ERUS) working groups, producing multicenter studies that have collectively garnered hundreds of citations — his top papers alone exceeding 500 citations. Notably, Vignolini advanced the innovative application of indocyanine green (ICG) near-infrared fluorescence imaging in robotic urologic procedures, publishing both consensus guidelines and pioneering clinical reports on intraoperative graft reperfusion assessment. His early work on endoscopic robot-assisted simple enucleation for renal masses further demonstrates his broad expertise in organ-preserving robotic surgery. Through collaborative European research networks and rigorous prospective study designs, Vignolini has established himself as a defining voice in the global advancement of robotic transplant urology.

Research Focus

Key Achievements

16
H-Index
26
Papers
715
Total Citations
28
Avg Citations/Paper
🏆 Most Cited Paper
Best practices in near-infrared fluorescence imaging with indocyanine green (NIRF/ICG)-guided robotic urologic surgery: a systematic review-based expert consensus
81 citations · 2019
📈 Most Prolific Year: 2020 (6 Papers)
🤝 Key Collaborators: 134
🏛 Institutions: University of Florence, Azienda Ospedaliero-Universitaria Careggi

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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