Christoph Domnick

University of Münster, University Hospital Münster

Papers

7

Total Citations

356

H-Index

7

About

Christoph Domnick is a leading biomechanics researcher whose work centers on the intricate ligamentous and muscular stabilizers of the knee, with a particular focus on anterior cruciate ligament (ACL) reconstruction and the often-overlooked posterolateral and medial corners. His major contributions lie in using cadaveric robotic testing to quantify how different surgical techniques restore native knee kinematics. Notably, his 2016 study on hamstring grafts in the context of medial collateral ligament insufficiency (87 citations) challenged conventional graft selection, while his work on the popliteus bypass (29 citations) demonstrated superior biomechanical properties over the classic Larson technique for complex posterolateral corner injuries. Domnick has also advanced ACL repair, showing that dynamic intraligamentary stabilization can restore near-intact kinematics (42 citations), and has refined single- versus double-bundle reconstruction debates by analyzing femoral tunnel placement (54 citations). His 2019 exploration of the semimembranosus corner (36 citations) redefined dynamic medial-side restraints. With a career built on rigorous, clinically impactful biomechanical studies, Domnick’s research directly informs surgical decision-making for knee instability, making him a vital voice in orthopaedic sports medicine.

Research Focus

Key Achievements

7
H-Index
7
Papers
356
Total Citations
51
Avg Citations/Paper
🏆 Most Cited Paper
Should the Ipsilateral Hamstrings Be Used for Anterior Cruciate Ligament Reconstruction in the Case of Medial Collateral Ligament Insufficiency? Biomechanical Investigation Regarding Dynamic Stabilization of the Medial Compartment by the Hamstring Muscles
87 citations · 2016
📈 Most Prolific Year: 2015 (2 Papers)
🤝 Key Collaborators: 31
🏛 Institutions: University of Münster, University Hospital Münster

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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