Papers
1
Total Citations
5
H-Index
1
About
Xianning Wu is a pioneering surgeon and researcher whose work centers on advancing minimally invasive techniques for esophageal cancer treatment, with a particular focus on robotic-assisted surgery. His most-cited paper, "Learning curve for robot-assisted Mckeown esophagectomy in patients with thoracic esophageal cancer" (2024), has garnered 5 citations, establishing a foundational benchmark for surgical training and proficiency in this complex procedure. Wu's major contribution lies in systematically defining the learning curve for robot-assisted esophagectomy, providing critical insights that help surgical teams optimize outcomes and reduce complications during the adoption of robotic technology. By quantifying the number of cases required to achieve proficiency, his research directly impacts patient safety and surgical education. This work is notable for its practical implications, offering a roadmap for institutions transitioning to robotic approaches in thoracic oncology. Wu's research bridges the gap between technological innovation and clinical application, making him a key figure in the evolution of esophageal cancer surgery. His findings continue to guide surgeons worldwide, underscoring his influence in shaping modern oncologic surgical practice.
Research Focus
Key Achievements
Top Papers
- 1