Papers

11

Total Citations

164

H-Index

7

About

Antonio Finelli is a leading figure in urologic oncology and surgical simulation, renowned for his pioneering work in robotic surgery training and outcomes. His research centers on developing evidence-based curricula to enhance technical skills, as demonstrated in his highly cited 2013 study on a multidisciplinary robotic surgery basic skills training curriculum (65 citations). Finelli has made major contributions by quantifying the learning curve for robotic surgery, showing that baseline laparoscopic skill can predict early robotic proficiency—a finding that has shaped individualized training programs. He also advanced the concept of the “trifecta” in partial nephrectomy, comparing open versus minimally invasive approaches to optimize oncologic and functional outcomes. With over 160 citations across his top works, Finelli’s impact extends to health-related quality of life comparisons between robotic and open prostatectomy, and he has explored novel areas like intraocular pressure management during steep Trendelenburg positioning. His work on the “assistant effect” in robotic-assisted radical prostatectomy further underscores his commitment to refining surgical teamwork. A prolific researcher and educator, Finelli’s achievements have set benchmarks for surgical training and patient care in urology.

Research Focus

Key Achievements

7
H-Index
11
Papers
164
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
Robotic surgery basic skills training: Evaluation of a pilot multidisciplinary simulation-based curriculum
65 citations · 2013
📈 Most Prolific Year: 2020 (2 Papers)
🤝 Key Collaborators: 74
🏛 Institutions: University of Toronto, University Health Network, Princess Margaret Cancer Centre

Top Papers

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    ROBOTIC SIMPLE PROSTATECTOMY
    17 citations · 2008
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago