Papers
2
Total Citations
11
H-Index
2
About
Bashir Zikria is a leading orthopedic researcher whose work centers on advancing surgical precision and diagnostic accuracy in knee surgery. His primary research areas include unicompartmental knee arthroplasty (UKA), robotic-assisted and computer-navigated surgical techniques, and the biomechanical assessment of anterior cruciate ligament (ACL) injuries. Zikria’s major contributions include a landmark systematic review on robotic-assisted and computer-navigated UKA, which synthesized evidence showing how these technologies improve component alignment and patient outcomes compared to conventional methods. This work, with 9 citations, has helped guide surgeons toward more precise, minimally invasive approaches for isolated knee arthritis. More recently, Zikria has pioneered the clinical application of the DYNEELAX® robotic arthrometer, demonstrating its reliability and feasibility for quantifying knee laxity in both healthy individuals and those with ACL injuries or reconstructions. His 2024 study, with 2 citations, addresses a critical gap in reproducible, objective ligament assessment, offering a potential alternative to subjective clinical exams and static MRI findings. Through these contributions, Zikria is shaping the future of data-driven, technology-enhanced orthopedic care.
Research Focus
Key Achievements
Top Papers
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