Papers

8

Total Citations

74

H-Index

5

About

Karl H. Hillebrandt is a leading surgical researcher advancing the frontiers of minimally invasive liver and pancreatic surgery. His work focuses on robotic and laparoscopic techniques, with key contributions in complexity-adjusted learning curves, cost-effectiveness analysis, and enhanced recovery after surgery (ERAS) protocols. Hillebrandt’s most cited paper (24 citations) introduces a novel method for evaluating learning curves in robotic and laparoscopic liver resection, addressing the critical underestimation of procedural complexity in prior studies. He has also demonstrated the cost-effectiveness of robotic versus open pancreatic surgery (15 citations), providing essential evidence for healthcare decision-making. His research on optimized robotic-assisted pancreatic surgery procedures and ERAS recommendations in minimal invasive liver surgery (8 citations) offers practical, standardized approaches for surgical teams. Additionally, Hillebrandt has explored outcomes for rare conditions like median arcuate ligament syndrome and the role of lymphadenectomy in hepatic malignancies, contributing to the StuDoQ|Liver registry. His work on robotic surgery in elderly patients and those with prior abdominal surgeries expands the applicability of these advanced techniques. With a growing citation impact, Hillebrandt is shaping the future of surgical practice through rigorous, patient-centered research.

Research Focus

Key Achievements

5
H-Index
8
Papers
74
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Complexity-Adjusted Learning Curves for Robotic and Laparoscopic Liver Resection
24 citations · 2022
📈 Most Prolific Year: 2022 (3 Papers)
🤝 Key Collaborators: 48
🏛 Institutions: Humboldt-Universität zu Berlin, Charité - Universitätsmedizin Berlin

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago