Papers
10
Total Citations
222
H-Index
7
About
Eric Leung is a spine surgery researcher whose work sits at the intersection of surgical robotics, navigation technology, and clinical outcomes in spinal procedures. His research focuses primarily on robot-assisted spine surgery, with particular emphasis on screw placement accuracy, complication profiles, and patient-reported outcomes across diverse surgical populations. Leung has made significant contributions through large-scale, multicenter investigations that address a critical gap in the literature — moving beyond single-surgeon or single-center studies to provide more generalizable evidence. His propensity-matched analyses of thousands of robot-assisted screws and hundreds of patients have helped establish benchmarks for robotic performance, including direct comparisons between platforms such as the Mazor X and Renaissance systems. His 2022 multicenter five-year trends study (41 citations) represents one of the more comprehensive longitudinal assessments of robotic spine surgery outcomes to date. With his most-cited works each drawing between 21 and 49 citations, Leung's research has gained meaningful traction within the orthopedic and neurosurgical communities. His 2021 state-of-the-art review further demonstrates his ability to synthesize emerging evidence for both clinicians and researchers. For students entering the field of surgical robotics, Leung's body of work offers an evidence-driven foundation for understanding how robotic technologies translate into real-world clinical practice.
Research Focus
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