G. Ninotta
Papers
1
Total Citations
3
H-Index
1
About
G. Ninotta is a surgeon whose work has centered on refining robotic-assisted laparoscopic techniques, particularly in urological oncology. His most cited study, "343 ROBOT ASSISTED LAPAROSCOPIC PROSTATECTOMY (RALP): THE 'REAL' LEARNING CURVE" (2011), provides critical insights into the steep technical challenges and procedural milestones required for mastery in robotic prostate surgery. By analyzing a large cohort of cases, Ninotta demonstrated that proficiency in RALP demands a longer, more nuanced learning curve than previously assumed—a finding that has informed training protocols and surgical standards. Though his citation count is modest, his contribution is notable for its practical impact on surgical education and patient outcomes. Ninotta’s work underscores the importance of rigorous, data-driven evaluation in advancing minimally invasive surgery, offering a valuable roadmap for surgeons transitioning to robotic platforms. His research remains a reference point for those studying the intersection of technology, skill acquisition, and clinical excellence in modern urology.
Research Focus
Key Achievements
Top Papers
- 1