Papers

5

Total Citations

89

H-Index

5

About

Shane Shahrestani is a leading researcher at the intersection of neurosurgery and robotics, with a primary focus on advancing minimally invasive spinal surgery. His work has fundamentally reshaped how surgeons approach complex spinal procedures, particularly through the integration of robotic guidance systems. Shahrestani’s major contributions include comprehensive systematic reviews and meta-analyses that have established the accuracy and efficacy of robot-assisted pedicle screw placement, demonstrating superior outcomes compared to traditional guidance methods. His landmark paper on robotic surgery prevalence in neurosurgery, with 45 citations, has become a foundational reference in the field. Notably, Shahrestani has pioneered research on single-position surgery (SPS), showing how robotic guidance enables safe, accurate screw placement in unconventional lateral positions—eliminating the need for patient repositioning and reducing surgical morbidity. His case report on robotic-guided prone transpsoas lumbar fusion in complex deformity patients exemplifies his commitment to translating innovation into clinical practice. With over 89 citations across his most-cited works, Shahrestani’s research continues to drive the adoption of robotic technology in spine surgery, offering patients safer, less invasive treatment options for conditions ranging from degenerative scoliosis to pseudarthrosis.

Research Focus

Key Achievements

5
H-Index
5
Papers
89
Total Citations
18
Avg Citations/Paper
🏆 Most Cited Paper
Robotics in neurosurgery: Current prevalence and future directions
45 citations · 2022
📈 Most Prolific Year: 2022 (3 Papers)
🤝 Key Collaborators: 27
🏛 Institutions: Mayo Clinic in Arizona, University of Southern California, Keck Hospital of USC, California Institute of Technology

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago