Anjana Kashyap

Manipal Academy of Higher Education

Papers

5

Total Citations

30

H-Index

3

About

Anjana Kashyap is an emerging spine surgeon and researcher whose work is reshaping the landscape of robotic-assisted spinal surgery. Specializing in surgical robotics, spinal instrumentation, and minimally invasive spine techniques, Kashyap has rapidly established herself as a pioneering voice in the adoption and optimization of robotic systems for complex spinal procedures. Her most impactful contributions center on evaluating and refining robotic-assisted pedicle screw placement across the full spinal axis — from the cervical spine to the sacropelvis. Her prospective studies, including a landmark analysis of 750 robotic-assisted cases, demonstrate both the versatility and safety of third-generation robotic platforms such as the MazorX Stealth Edition, accumulating 28 citations across her early career publications. Notably, her research addresses the critical question of surgical learning curves, showing that robotic assistance can help less-experienced surgeons achieve accuracy comparable to seasoned practitioners — a finding with profound implications for surgical training programs. Kashyap has also advanced technically demanding procedures, including robotic-assisted S2 alar iliac screw placement and cervical pedicle screw fixation using custom instruments. Her work collectively positions robotic spine surgery as a safe, scalable, and reproducible solution for complex spinal pathologies, making her research essential reading for surgeons and trainees navigating this rapidly evolving field.

Research Focus

Key Achievements

3
H-Index
5
Papers
30
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Flattening the learning curve – Early experience of robotic-assisted pedicle screw placement in spine surgery
12 citations · 2024
📈 Most Prolific Year: 2025 (3 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Manipal Academy of Higher Education

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago