Papers

10

Total Citations

295

H-Index

8

About

Manel Armengol is a pioneering bariatric and colorectal surgeon whose work has significantly shaped the adoption of robotic-assisted surgical techniques in obesity treatment and minimally invasive procedures. His research focuses primarily on robotic bariatric surgery, including sleeve gastrectomy, Roux-en-Y gastric bypass, and complex revisional procedures, with a sustained commitment to comparing robotic and laparoscopic approaches to establish evidence-based best practices. Armengol's most influential contribution, his 2012 study on the learning curve for robot-assisted sleeve gastrectomy (95 citations), provided surgeons with a critical roadmap for safely integrating robotic technology into bariatric departments. His subsequent comparative study of robotic versus laparoscopic sleeve gastrectomy across 200 patients (67 citations) further solidified the clinical case for robotic adoption. Operating within a European Centre of Excellence for bariatric surgery, he has also advanced complex staged procedures such as the single anastomosis duodenoileal bypass and robotic transanal microsurgery for rectal tumors. Across more than a decade of research, Armengol has consistently demonstrated that robotic approaches can match or improve upon traditional laparoscopic outcomes in terms of safety, efficacy, and recovery. His work remains essential reading for surgeons navigating the evolving landscape of minimally invasive bariatric care.

Research Focus

Key Achievements

8
H-Index
10
Papers
295
Total Citations
30
Avg Citations/Paper
🏆 Most Cited Paper
The Initial Learning Curve for Robot-Assisted Sleeve Gastrectomy: A Surgeon’s Experience While Introducing the Robotic Technology in a Bariatric Surgery Department
95 citations · 2012
📈 Most Prolific Year: 2013 (3 Papers)
🤝 Key Collaborators: 31
🏛 Institutions: Vall d'Hebron Hospital Universitari, Universitat Autònoma de Barcelona, Hebron University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago