Papers

8

Total Citations

118

H-Index

6

About

Daniel Moritz Felsenreich is a pioneering surgeon whose research sits at the intersection of advanced robotic surgery, oncology, and artificial intelligence. His most impactful work centers on demonstrating the superiority of robotic techniques in complex gastrointestinal procedures. In a highly cited 2021 meta-analysis (59 citations), he provided compelling evidence that robotic pancreaticoduodenectomy yields superior histopathological outcomes—specifically better resection margins—compared to the traditional open approach. Felsenreich has also made seminal contributions to colorectal surgery, leading pooled analyses of over 800 cases that detail how robotic total mesorectal excision improves pathology metrics, particularly in challenging populations like overweight males with low rectal cancer. His work rigorously examines the influence of mesorectal and visceral fat areas on surgical specimen quality, offering critical insights for personalized surgical planning. Looking to the future, Felsenreich co-authored an international expert consensus on artificial intelligence in metabolic and bariatric surgery (2025), charting a roadmap for AI’s transformative role in the field. Additionally, he has developed structured robotic training curricula, such as the RAST program, underscoring his commitment to surgical education. With a growing body of work that bridges technical innovation and measurable patient outcomes, Felsenreich is a leading voice in the evolution of minimally invasive surgical oncology.

Research Focus

Key Achievements

6
H-Index
8
Papers
118
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
Robotic pancreaticoduodenectomy provides better histopathological outcomes as compared to its open counterpart: a meta-analysis
59 citations · 2021
📈 Most Prolific Year: 2023 (3 Papers)
🤝 Key Collaborators: 97
🏛 Institutions: Medical University of Vienna, Westchester Medical Center, New York Medical College

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago