Papers

8

Total Citations

168

H-Index

5

About

Ashwini Sharan is a distinguished neurosurgeon whose research sits at the intersection of stereotactic neurosurgery, robotics, and epilepsy surgery. His work has significantly advanced the understanding and adoption of robotic-assisted techniques in deep brain stimulation (DBS) and stereoelectroencephalography (sEEG), culminating in a widely cited meta-analysis of 6,056 trajectories demonstrating that robot-assisted stereotaxy meaningfully reduces target error (62 citations). Sharan has been instrumental in reshaping epilepsy surgery through critical appraisals of emerging technologies — including laser interstitial thermal therapy, wireless neural recording, and novel neuromodulation strategies — earning 43 citations for his technology-focused review. His contributions extend into spinal surgery, where he applied time-driven activity-based costing to compare robotic, navigated, and conventional approaches for lumbar fusion, providing clinicians with rare economic clarity. Sharan has also investigated frameless fiducial registration systems, surgical learning curves for robotic implementation, and the utility of exoscopes in temporal lobectomy. Collectively, his body of work bridges surgical precision, technological innovation, and practical cost-effectiveness, making him a vital voice for trainees and researchers seeking to understand the evolving frontiers of functional and epilepsy neurosurgery.

Research Focus

Key Achievements

5
H-Index
8
Papers
168
Total Citations
21
Avg Citations/Paper
🏆 Most Cited Paper
Robot-Assisted Stereotaxy Reduces Target Error: A Meta-Analysis and Meta-Regression of 6056 Trajectories
62 citations · 2020
📈 Most Prolific Year: 2020 (2 Papers)
🤝 Key Collaborators: 39
🏛 Institutions: Thomas Jefferson University Hospital, Thomas Jefferson University

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago