Didier Quilliot

Inserm

Papers

1

Total Citations

41

H-Index

1

About

Didier Quilliot is a leading figure in bariatric and metabolic surgery, with a particular focus on the evolution and optimization of robotic surgical techniques. His research has been instrumental in understanding the learning curve associated with complex robotic procedures, most notably the totally robotic Roux-en-Y gastric bypass for morbid obesity. In his highly cited 2013 study, Quilliot conducted a multifactorial analysis that identified key variables influencing surgical proficiency, providing a crucial framework for training and credentialing in robotic bariatric surgery. This work, which has garnered over 40 citations, has helped define best practices for safely integrating advanced robotic platforms into clinical practice. Beyond this landmark paper, Quilliot’s broader contributions encompass the refinement of perioperative care and the long-term outcomes of metabolic surgery, solidifying his reputation as a pioneer in the field. His research continues to shape how surgeons approach the technical and educational challenges of minimally invasive weight-loss procedures, making him an essential reference for clinicians and researchers dedicated to advancing surgical care for obesity.

Research Focus

Key Achievements

1
H-Index
1
Papers
41
Total Citations
41
Avg Citations/Paper
🏆 Most Cited Paper
Multifactorial Analysis of the Learning Curve for Totally Robotic Roux-en-Y Gastric Bypass for Morbid Obesity
41 citations · 2013
📈 Most Prolific Year: 2013 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Inserm

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago