Papers

9

Total Citations

38

H-Index

3

About

Luciano A. Favorito is a Brazilian urologist and surgical researcher whose work sits at the intersection of minimally invasive surgery, oncological urology, and functional outcomes following complex procedures. He has made notable contributions to understanding how surgeons without laparoscopic backgrounds can successfully adopt robotic-assisted radical prostatectomy (RARP), demonstrating through comparative and learning curve analyses — involving nearly 200 patients across multiple studies — that prior laparoscopic experience may not be a prerequisite for achieving competency in robotic platforms. This work has meaningful implications for surgical training programs worldwide. Beyond prostate cancer surgery, Favorito has expanded his research into the urological consequences of endometriosis surgery, investigating how nerve-sparing techniques during parametrectomy affect lower urinary tract function, with findings highlighting the limitations of unilateral nerve preservation in preventing urinary retention. He has also contributed to evidence-based infection prophylaxis guidelines for urological procedures and explored the evolving role of laparoscopic and robotic inguinal lymphadenectomy in penile cancer management. With publications spanning from 2015 to 2025 and accumulating citations across diverse subspecialty areas, Favorito represents a clinically grounded surgical scientist committed to refining technique, improving patient outcomes, and advancing urological education.

Research Focus

Key Achievements

3
H-Index
9
Papers
38
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Is previous experience in laparoscopic necessary to perform robotic radical prostatectomy? A comparative study with robotic and the classic open procedure in patients with prostate cancer
9 citations · 2015
📈 Most Prolific Year: 2024 (3 Papers)
🤝 Key Collaborators: 27
🏛 Institutions: Universidade do Estado do Rio de Janeiro, Hospital Universitário de Brasília

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 17 days ago