Papers
8
Total Citations
106
H-Index
6
About
Gijs I. van Boxel is a surgical researcher whose work has become central to advancing robot-assisted minimally invasive esophagectomy (RAMIE), a rapidly evolving field within upper gastrointestinal surgery. His research spans surgical technique optimization, learning curve analysis, and international benchmarking of robotic surgical outcomes, making him a prominent voice in the global adoption of robotic platforms for complex oncological procedures. Van Boxel's most influential contributions include a widely cited 2022 systematic review examining the learning curves associated with RAMIE adoption, which has already garnered 28 citations and provided critical guidance for training programs worldwide. His 2024 analysis of the Upper GI International Robotic Association (UGIRA) Esophageal Registry, cited 24 times, offers one of the most comprehensive multinational assessments of RAMIE's current clinical state. A 2023 propensity-score matched study comparing hybrid laparoscopic versus fully robotic approaches further refined technical decision-making for surgeons, accumulating 18 citations. Beyond esophagectomy, van Boxel has explored robotic cholecystectomy and sleeve gastrectomy, demonstrating a broader commitment to cost-effective robotic surgical education. His early work on T-cell receptor structural analysis reflects a notably diverse scientific background, underscoring his range as a researcher whose contributions continue to shape modern minimally invasive surgical practice.
Research Focus
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