Papers

12

Total Citations

536

H-Index

9

About

Asham Khan is a spine surgeon and researcher whose work sits at the forefront of robotic and navigated spinal surgery, with a particular focus on the safety, accuracy, and technological evolution of image-guided instrumentation. His most cited publication, a 2018 first report on next-generation robotic spine surgery (165 citations), established early benchmarks for feasibility and learning curves associated with robotic pedicle screw placement — a technically demanding procedure where precision is paramount. Subsequent work expanded this foundation by directly comparing robotic platforms with 3D CT navigation, evaluating cortical bone trajectories, and characterizing the Mazor X Stealth system through detailed technical reporting. Khan has contributed landmark multicenter analyses, including a propensity-matched study of over 2,800 screws examining navigated versus non-navigated robotic cohorts, and the first multicenter investigation of robot-assisted S2 alar-iliac screw accuracy. His cadaveric study on cervical pedicle screw placement further demonstrates a willingness to push robotic applications into anatomically complex territories. Collectively accumulating nearly 525 citations, Khan's body of work meaningfully shapes how surgeons adopt, evaluate, and refine robotic technology in modern spine surgery.

Research Focus

Key Achievements

9
H-Index
12
Papers
536
Total Citations
45
Avg Citations/Paper
🏆 Most Cited Paper
Next-Generation Robotic Spine Surgery: First Report on Feasibility, Safety, and Learning Curve
165 citations · 2018
📈 Most Prolific Year: 2021 (4 Papers)
🤝 Key Collaborators: 40
🏛 Institutions: Kaleida Health, University at Buffalo, State University of New York

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago