Antonio Klasan
Papers
12
Total Citations
136
H-Index
7
About
Antonio Klasan is a leading orthopedic surgeon and researcher whose work is reshaping the landscape of knee arthroplasty. His primary research focuses on the precision and outcomes of robotic-assisted and computer-assisted total knee arthroplasty (TKA), with a particular emphasis on surgical alignment strategies and implant fixation. Klasan has made major contributions by demonstrating that the learning curve for robotic-assisted knee surgery is significantly flattened when an experienced surgeon is present, a finding that has practical implications for surgical training and adoption. His work has also clarified the impact of different coronal alignment strategies—such as functional, kinematic, and mechanical alignment—on trochlear orientation and implant longevity. With over 130 citations across his most-cited papers, Klasan’s influence is evident. Notably, his 2022 study on the learning curve in robotic-assisted knee arthroplasty has garnered 39 citations, underscoring its importance. He has also called for better standardization in defining “functional alignment,” a term he argues is too broadly used. Through his rigorous, data-driven approach, Klasan continues to advance the science of knee replacement, helping surgeons achieve more precise, durable, and patient-specific outcomes.
Research Focus
Key Achievements
Top Papers
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