Papers
9
Total Citations
187
H-Index
7
About
Venkat Boddapati is an orthopedic and spine surgery researcher whose work sits at the cutting edge of surgical robotics and image-guided technologies. His research primarily focuses on robot-assisted spine surgery and total knee arthroplasty, with a particular emphasis on evaluating the accuracy, safety, and clinical outcomes of emerging robotic platforms. Boddapati has made substantial contributions through rigorous multicenter and propensity-matched study designs, bringing unprecedented statistical rigor to a field often limited by small, single-surgeon datasets. His landmark 2021 analysis of 2,800 screws across 372 patients — now cited 49 times — examined navigated versus non-navigated robotic cohorts, while complementary work on S2 alar-iliac screw placement and comparative analyses of the Mazor X and Renaissance systems have helped establish evidence-based benchmarks for robotic platform selection. His research on robot-assisted total knee arthroplasty, with 46 citations, demonstrates his breadth across subspecialties. Collectively accumulating nearly 200 citations within a single publication year, Boddapati's work has meaningfully shaped how surgeons evaluate robotic tools, manage complications, and measure patient-reported outcomes in the rapidly evolving landscape of technology-assisted surgical care.
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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