Papers
39
Total Citations
945
H-Index
18
About
Matteo Palmeri is a surgical innovator whose work has significantly advanced the field of robotic and minimally invasive surgery, with particular expertise in colorectal cancer, pancreatic surgery, adrenal gland procedures, and complex oncological resections. His research portfolio reflects a sustained commitment to evaluating, refining, and optimizing robotic surgical platforms — most notably the da Vinci system — through rigorous clinical comparison and cost analysis. Among his most influential contributions is his landmark investigation into the learning curve for robot-assisted pancreaticoduodenectomy (122 citations), one of the first studies to analyze a single surgeon's proficiency trajectory using the cumulative sum method. His comparative analyses of the da Vinci Si and Xi platforms across rectal cancer resections have provided the surgical community with critical, evidence-based guidance on system selection and cost-effectiveness, collectively accumulating hundreds of citations. Palmeri has also contributed meaningfully to robotic adrenalectomy, single-site surgical platforms, deep infiltrating endometriosis treatment, and robotic liver resection for colorectal metastases. His single-surgeon and multi-institutional studies offer rare methodological clarity, making his work particularly valuable for trainees and established surgeons navigating the rapidly evolving landscape of robotic oncological surgery.
Research Focus
Key Achievements
Top Papers
- 1The Learning Curve in Robotic Pancreaticoduodenectomy122 citations · 2016
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