About

Ibrahim Nassour is a surgical oncologist whose research has fundamentally shaped our understanding of minimally invasive pancreatic surgery, with a particular focus on robotic and laparoscopic approaches to complex pancreatic resections. His work spans comparative outcomes analysis, oncologic efficacy, and national adoption trends, making him a leading voice in the evolution of modern pancreatic surgery. Nassour's most cited contribution, a 2017 NSQIP analysis comparing robotic versus laparoscopic pancreaticoduodenectomy (94 citations), established early benchmarks for safety and feasibility in robotic pancreatic surgery. This was complemented by parallel work examining oncological outcomes across surgical platforms, demonstrating that robotic approaches could achieve results comparable to open surgery without compromising cancer control. His 2020 studies on long-term oncologic outcomes and national trends in robotic pancreatectomy — together accumulating over 155 citations — provided the large-scale evidence needed to guide institutional adoption decisions nationwide. Beyond technique comparison, Nassour has investigated critical clinical scenarios including conversion from minimally invasive approaches and outcomes following neoadjuvant chemotherapy, offering surgeons practical decision-making frameworks. With over 500 cumulative citations across his top papers, his body of work has meaningfully accelerated the safe adoption of robotic pancreatectomy and continues to inform surgical practice internationally.

Research Focus

Key Achievements

10
H-Index
15
Papers
548
Total Citations
37
Avg Citations/Paper
🏆 Most Cited Paper
Robotic Versus Laparoscopic Pancreaticoduodenectomy: a NSQIP Analysis
94 citations · 2017
📈 Most Prolific Year: 2017 (3 Papers)
🤝 Key Collaborators: 48
🏛 Institutions: The University of Texas Southwestern Medical Center, University of Pittsburgh Medical Center, University of Florida, University of Pittsburgh

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago