About

Philippe Rouanet is a distinguished surgical oncologist whose research has profoundly shaped minimally invasive approaches to colorectal and upper gastrointestinal cancers. His work centers on rectal cancer surgery, robotic-assisted techniques, and esophagectomy, with a particular focus on optimizing surgical precision and patient outcomes. Among his most influential contributions is his development of an MRI-based scoring system to predict surgical difficulty in total mesorectal excision (TME), garnering 96 citations and providing surgeons with a vital preoperative planning tool. His comparative analyses of robotic versus laparoscopic TME — collectively accumulating over 125 citations — have helped establish robotic surgery as a credible sphincter-saving option, while also examining cost-effectiveness implications critical for healthcare systems. Rouanet has extended his influence internationally through the Upper GI International Robotic Association, contributing to landmark multicenter studies on robot-assisted minimally invasive esophagectomy (RAMIE) that have drawn over 115 combined citations, bringing global standardization to an emerging technique. His MIRCAST and RESET trial contributions further demonstrate his commitment to rigorous, evidence-based surgical research. Through more than 478 cumulative citations across his key works, Rouanet has become a leading voice in robotic surgical oncology, bridging technical innovation with clinical evidence to advance outcomes for cancer patients worldwide.

Research Focus

Key Achievements

13
H-Index
31
Papers
626
Total Citations
20
Avg Citations/Paper
🏆 Most Cited Paper
MRI-based score to predict surgical difficulty in patients with rectal cancer
96 citations · 2017
📈 Most Prolific Year: 2024 (6 Papers)
🤝 Key Collaborators: 351
🏛 Institutions: CEA Valduc, Institut de Recherche en Cancérologie de Montpellier, Centre Oscar Lambret, Centre Hospitalier Universitaire de Montpellier, Université de Montpellier, Azienda Ospedaliero-Universitaria Careggi

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago