Papers

1

Total Citations

9

H-Index

1

About

Weijie Chen is a surgical researcher and skilled pancreatic surgeon whose work sits at the cutting edge of minimally invasive and robotic-assisted surgery. His research focuses on the technical evolution of complex pancreatic procedures, particularly pancreatoduodenectomy — one of the most demanding operations in abdominal surgery. Chen's most notable contribution examines the learning curve associated with transitioning from laparoscopic to robotic pancreatoduodenectomy, offering critical insights into how surgical expertise developed in one platform can accelerate proficiency in another. This work is especially valuable for surgical training programs and institutions considering the adoption of robotic systems, as it provides evidence-based guidance on the number of cases required to achieve technical mastery and optimal patient outcomes. Published in 2024 and already accumulating citations, Chen's research signals growing recognition of his contributions within the hepatopancreatobiliary surgical community. His findings help bridge the gap between innovation and safe clinical implementation, making him an emerging voice in the field of advanced minimally invasive pancreatic surgery and surgical education.

Research Focus

Key Achievements

1
H-Index
1
Papers
9
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Learning curve of robotic pancreatoduodenectomy by a single surgeon with extensive laparoscopic pancreatoduodenectomy experience
9 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Chinese Academy of Medical Sciences & Peking Union Medical College

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago