Papers
2
Total Citations
25
H-Index
2
About
Qiang Xu is a leading figure in the advancement of minimally invasive pancreatic surgery, with a primary focus on robotic distal pancreatectomy (RDP). His major contributions center on systematically defining the learning curve and preoperative predictors of surgical difficulty for this complex procedure. In his landmark study of 301 cases, Xu demonstrated the safety and feasibility of RDP, establishing that operative time and complication rates improve significantly after a defined number of procedures—a finding that has guided training protocols worldwide. His subsequent work identified key patient-specific factors that predict surgical difficulty, enabling better preoperative planning and risk stratification. With over 25 citations across his most influential papers, Xu’s research has directly shaped how surgeons adopt and refine robotic techniques in pancreatic surgery. His work is particularly notable for its large, single-center experience that provides robust, real-world evidence for the learning process. For students and researchers, Xu’s studies offer a model of how to translate clinical experience into actionable guidelines, making him an essential reference for anyone entering the field of robotic hepatobiliary and pancreatic surgery.
Research Focus
Key Achievements
Top Papers
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