Ying‐Jui Chao

National Cheng Kung University Hospital

Papers

6

Total Citations

93

H-Index

4

About

Dr. Ying‐Jui Chao is a pioneering surgeon advancing the frontiers of minimally invasive pancreatic and gastric surgery, with a particular focus on robotic techniques. His primary research centers on the development and validation of difficulty scoring systems for complex procedures, most notably the PD-ROBOSCORE—a landmark tool designed to predict severe postoperative outcomes in robotic pancreatoduodenectomy (RPD). This work, which has garnered 34 citations since 2023, is critical for the safe, stepwise implementation of RPD worldwide. Dr. Chao has also made significant contributions to understanding the impact of patient factors, such as body mass index, on surgical outcomes, and has led international multicenter studies analyzing learning curves for RPD. His innovative spirit is further demonstrated by his development of a simple "W-shaped" liver retraction technique for minimally invasive gastric cancer surgery, which optimizes operative view without additional incisions. With multiple high-impact publications on the feasibility of simultaneously developing laparoscopic and robotic approaches, Dr. Chao’s work is shaping the future of surgical oncology, providing essential frameworks for training and patient safety in complex minimally invasive procedures.

Research Focus

Key Achievements

4
H-Index
6
Papers
93
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
The PD-ROBOSCORE: A difficulty score for robotic pancreatoduodenectomy
34 citations · 2023
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 54
🏛 Institutions: National Cheng Kung University Hospital

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago