Diego Bogetti

University of Illinois Chicago

Papers

1

Total Citations

79

H-Index

1

About

Diego Bogetti is a pioneering surgeon whose research has significantly advanced the field of laparoscopic and robotic-assisted kidney transplantation. His most-cited work, "Effect of robotic assistance on the 'learning curve' for laparoscopic hand-assisted donor nephrectomy" (2007, 79 citations), is a landmark study that demonstrated how robotic technology can flatten the steep learning curve associated with minimally invasive donor nephrectomy, making the procedure safer and more accessible for surgeons. This contribution has had a lasting impact on transplant surgery, helping to standardize techniques and improve patient outcomes. Beyond this, Bogetti’s research focuses on optimizing surgical workflows, reducing operative time, and enhancing recovery for living kidney donors. His work is widely cited by surgeons and researchers seeking to integrate robotic assistance into transplant programs, reflecting its practical and educational value. Bogetti’s achievements underscore his role as a key figure in the evolution of minimally invasive surgery, bridging the gap between traditional laparoscopy and advanced robotic systems to benefit both clinicians and patients.

Research Focus

Key Achievements

1
H-Index
1
Papers
79
Total Citations
79
Avg Citations/Paper
🏆 Most Cited Paper
Effect of robotic assistance on the “learning curve” for laparoscopic hand-assisted donor nephrectomy
79 citations · 2007
📈 Most Prolific Year: 2007 (1 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: University of Illinois Chicago

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago