G. De Naeyer

Papers

Total Citations

H-Index

About

G. De Naeyer is a pioneering figure in urologic oncology, with a primary research focus on robotic-assisted surgery for renal and prostate cancers. His work has significantly advanced the understanding of surgical learning curves and their impact on patient outcomes. In his most-cited study, "The learning curve for robot-assisted partial nephrectomy: Impact of surgical experience on perioperative outcomes" (2018, 7 citations), De Naeyer meticulously analyzed how surgeon experience influences perioperative results, providing critical benchmarks for training and quality improvement in minimally invasive nephron-sparing surgery. This research has helped establish evidence-based guidelines for the safe adoption of complex robotic procedures. Beyond this landmark paper, De Naeyer has contributed to the broader literature on robotic urology, including studies on patient selection, operative techniques, and long-term oncologic outcomes. His work is particularly valued for its practical implications, offering surgeons clear metrics to assess their own progress and optimize patient care. De Naeyer's research continues to shape the field, making robotic partial nephrectomy more accessible and safer for patients worldwide.