Haoda Chen

Ruijin Hospital, Shanghai Jiao Tong University

Papers

6

Total Citations

124

H-Index

6

About

Dr. Haoda Chen is a pioneering pancreatic surgeon whose research focuses on improving surgical outcomes for patients undergoing pancreaticoduodenectomy and distal pancreatectomy. His work centers on two critical challenges: predicting and preventing postoperative complications, particularly pancreatic fistula, and advancing minimally invasive robotic techniques for pancreatic cancer. Dr. Chen’s landmark study analyzing 1,465 patients identified predictive factors for postoperative pancreatitis, providing a foundation for risk stratification. He further revolutionized complication prediction by developing machine learning algorithms that serve as early diagnostic tools for pancreatic fistula, enabling timely drain removal and reducing morbidity. Demonstrating the superiority of robotic surgery, his propensity score-matched studies showed that robotic distal pancreatectomy significantly reduces pancreatic fistula rates in non-obese patients compared to open surgery, and that robotic pancreatoduodenectomy yields comparable oncological outcomes to open approaches after the learning curve. His research also identified preoperative plasma D-dimer as an independent prognostic biomarker for survival in pancreatic ductal adenocarcinoma. With over 120 citations across his most influential works, Dr. Chen has established himself as a leader in pancreatic surgery innovation, bridging the gap between traditional open techniques and the future of robotic-assisted precision surgery.

Research Focus

Key Achievements

6
H-Index
6
Papers
124
Total Citations
21
Avg Citations/Paper
🏆 Most Cited Paper
Predictive factors for postoperative pancreatitis after pancreaticoduodenectomy: A single-center retrospective analysis of 1465 patients
48 citations · 2019
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 25
🏛 Institutions: Ruijin Hospital, Shanghai Jiao Tong University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago