Nathanael Raschzok

Humboldt-Universität zu Berlin

Papers

4

Total Citations

43

H-Index

4

About

Nathanael Raschzok is a leading surgeon-scientist advancing the field of minimally invasive liver surgery (MILS). His research focuses on optimizing surgical techniques, perioperative care, and outcomes for complex hepatobiliary procedures. Raschzok’s major contributions include pioneering complexity-adjusted learning curves for robotic and laparoscopic liver resections, demonstrating that traditional learning models underestimate procedural variance. His work on Enhanced Recovery after Surgery (ERAS) in MILS has shown that these protocols not only reduce morbidity but are also cost-effective, bridging clinical excellence with healthcare economics. He has also investigated minimally invasive therapy for rare conditions like median arcuate ligament syndrome and the role of lymphadenectomy in liver malignancies using large registry data. With his most-cited paper (24 citations) redefining how surgical proficiency is measured, Raschzok’s impact is evident in shaping modern liver surgery standards. His research is instrumental for trainees and peers aiming to improve patient outcomes through innovation and evidence-based practice.

Research Focus

Key Achievements

4
H-Index
4
Papers
43
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Complexity-Adjusted Learning Curves for Robotic and Laparoscopic Liver Resection
24 citations · 2022
📈 Most Prolific Year: 2024 (3 Papers)
🤝 Key Collaborators: 37
🏛 Institutions: Humboldt-Universität zu Berlin

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago