Qingbo Feng
Papers
7
Total Citations
191
H-Index
6
About
Qingbo Feng is a surgical researcher whose work sits at the forefront of minimally invasive oncological surgery, with a particular focus on comparative outcomes between robotic-assisted and laparoscopic surgical techniques. His research spans several complex cancer procedures, including thoracoscopic lobectomy and segmentectomy for lung cancer, pancreaticoduodenectomy, distal pancreatectomy, and gastrectomy for gastric cancer — conditions that collectively represent some of the most technically demanding operations in modern surgery. Feng's primary contribution lies in synthesizing high-quality evidence through systematic reviews and meta-analyses, offering clinicians rigorous, data-driven guidance on whether robotic platforms offer meaningful advantages over established laparoscopic approaches. His 2022 meta-analysis comparing robotic and video-assisted thoracoscopic surgery for lung cancer has already accumulated 71 citations, reflecting its immediate influence on the field, while his comparative study of robotic versus laparoscopic pancreaticoduodenectomy has garnered 54 citations. Notably, his research addresses nuanced clinical questions, such as performance differences after the surgical learning curve and outcomes specifically in obese patients with gastric cancer. With a growing body of work amassing nearly 200 citations across just a few years, Feng has established himself as a productive and increasingly influential voice in evidence-based minimally invasive surgical oncology.
Research Focus
Key Achievements
Top Papers
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