Papers
9
Total Citations
211
H-Index
7
About
Jeffrey A. Geller is a leading orthopaedic surgeon and researcher whose work centers on advancing total and unicompartmental knee arthroplasty through robotic-assisted technology. His major contributions lie in rigorously evaluating whether robotic assistance translates into tangible patient benefits. In a pivotal 2021 study (55 citations), he demonstrated that imageless robotic-assisted TKA yields similar 24-month WOMAC scores to conventional surgery, challenging assumptions about robotic superiority. However, his 2021 work also showed improved compartment balancing with robotic assistance (46 citations), and a 2024 study found robotic assistance enhances cementless component fixation. Geller has also critically examined unicompartmental knee replacement, finding no early advantage for robotic-assisted over conventional approaches (33 citations). His research extends to practical surgical concerns, including pin-site complications and the highly variable nature of soft tissue laxity in TKA patients. With over 200 citations across his most influential papers, Geller provides an evidence-based perspective on the real-world impact of robotic surgery in knee arthroplasty, making him a vital voice for surgeons and researchers navigating this rapidly evolving field.
Research Focus
Key Achievements
Top Papers
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- 2Improved Compartment Balancing Using Robot-Assisted Total Knee Arthroplasty46 citations · 2021
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