Zeyang Ding
Papers
2
Total Citations
95
H-Index
2
About
Zeyang Ding is a pioneering surgeon-researcher whose work centers on advancing minimally invasive hepatobiliary surgery through robotic technology. His primary research areas include robot-assisted laparoscopic liver resection, intraoperative imaging, and surgical learning curves. Ding’s major contributions lie in systematically evaluating the feasibility and safety of robotic hepatectomy, particularly through his landmark 2018 study on the learning curve for this complex procedure—a paper that has garnered 75 citations and remains a foundational reference for training programs worldwide. He also conducted one of the earliest large-scale investigations into intraoperative ultrasonography during robotic liver surgery, analyzing 110 consecutive cases to demonstrate its critical role in real-time tumor localization and vascular mapping. This work, cited 20 times, has helped standardize imaging protocols in robotic hepatobiliary surgery. Ding’s research has directly influenced surgical education and patient outcomes by providing evidence-based benchmarks for skill acquisition and procedural safety. His studies are frequently cited in guidelines and meta-analyses, underscoring his impact on the global adoption of robotic techniques in liver surgery.
Research Focus
Key Achievements
Top Papers
- 1Learning Curve in Robot-Assisted Laparoscopic Liver Resection75 citations · 2018
- 2