Papers

2

Total Citations

14

H-Index

2

About

S.P. Zanetti is a urologic surgeon and researcher whose work focuses on refining surgical techniques in robot-assisted radical prostatectomy (RARP) for prostate cancer. His primary research areas include optimizing perioperative outcomes, standardizing extended pelvic lymph node dissection (ePLND), and understanding the learning curve’s impact on surgical variables. In his 2018 study on the role of the bed assistant during RARP, Zanetti demonstrated how team coordination influences operative efficiency and patient recovery, earning 9 citations. More recently, his 2024 work comparing antegrade versus retrograde ePLND techniques introduced a standardized, en-bloc approach to lymphadenectomy, a critical step in managing high-risk prostate cancer. This study, with 5 citations, addresses a gap in procedural uniformity, offering surgeons reproducible methods to improve oncologic control while minimizing complications. Zanetti’s contributions are notable for their practical focus—bridging technical innovation with real-world surgical training. By systematically evaluating surgical steps, he provides evidence-based guidance that enhances both novice and expert performance in robotic urology. His work is essential reading for surgeons and trainees seeking to master the nuances of robotic prostate surgery and lymph node dissection.

Research Focus

Key Achievements

2
H-Index
2
Papers
14
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Role of Bed Assistant During Robot-assisted Radical Prostatectomy: The Effect of Learning Curve on Perioperative Variables
9 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago