Papers
13
Total Citations
1,391
H-Index
9
About
Jenni Tahmassebi is a leading orthopaedic researcher whose work centers on robotic-arm assisted arthroplasty, particularly for total and unicompartmental knee and hip replacements. Her major contributions demonstrate that robotic assistance significantly improves early functional recovery, reduces hospital stay, and minimizes the systemic inflammatory response compared to conventional jig-based techniques. Her landmark 2018 study on robotic-arm assisted total knee arthroplasty, cited over 400 times, showed faster recovery and earlier discharge, while her learning curve analysis (316 citations) established that surgeons achieve workflow proficiency after just seven cases without compromising implant accuracy. Tahmassebi has also pioneered comparisons between functionally and mechanically aligned robotic TKA, and extended her investigations into hip arthroplasty, with recent trials examining CT-based planning and long-term patient-reported outcomes. Her work, collectively cited over 1,300 times, has been instrumental in validating the clinical benefits of robotic guidance, guiding surgical practice toward less invasive, more precise joint replacement with reduced pain and faster rehabilitation.
Research Focus
Key Achievements
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