Papers

17

Total Citations

331

H-Index

11

About

Jan Beckmann is a pioneering surgical researcher whose work sits at the intersection of robotic-assisted surgery, bariatric medicine, and minimally invasive oncological procedures. His research has significantly advanced the understanding and adoption of robotic platforms across multiple surgical disciplines, with a particular focus on comparing robotic and laparoscopic techniques in terms of safety, efficacy, and learning curves. Beckmann's most influential contributions include landmark studies on robotic Roux-en-Y gastric bypass, which have collectively garnered over 150 citations, establishing critical benchmarks for outcomes in primary and revisional bariatric surgery. His 2018 analysis of robotic total mesorectal excision demonstrated measurably superior specimen quality over laparoscopic approaches, a finding with meaningful implications for rectal cancer treatment. He has also been at the forefront of integrating indocyanine green (ICG) fluorescence imaging into robotic hepatic surgery, addressing the well-known limitation of haptic feedback in robotic platforms through innovative visualization strategies. Beyond comparative studies, Beckmann has produced practical procedural guides and early evaluations of emerging systems like the Dexter Robotic System™, reflecting a commitment to translating research into surgical education and real-world implementation. His body of work positions him as a leading voice in the global advancement of robotic surgery.

Research Focus

Key Achievements

11
H-Index
17
Papers
331
Total Citations
19
Avg Citations/Paper
🏆 Most Cited Paper
The Impact of Robotics in Learning Roux-en-Y Gastric Bypass: a Retrospective Analysis of 214 Laparoscopic and Robotic Procedures
55 citations · 2020
📈 Most Prolific Year: 2020 (4 Papers)
🤝 Key Collaborators: 79
🏛 Institutions: University Hospital Schleswig-Holstein, University of Lübeck, Christian-Albrechts-Universität zu Kiel

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago