Linda Xu

Stanford University

Papers

1

Total Citations

48

H-Index

1

About

Linda Xu is a pioneering neurosurgeon whose work centers on the application of robotic-assist systems in stereotactic and functional neurosurgery, with a particular focus on deep brain stimulation (DBS). Her landmark study, "Frameless Robot-Assisted Deep Brain Stimulation Surgery: An Initial Experience" (2019, 48 citations), provides critical early evidence that robotic platforms can enhance operative efficiency and accuracy in DBS—a field traditionally reliant on frame-based methods. By demonstrating that these systems preserve safety while streamlining complex procedures, Xu has helped lay the groundwork for broader adoption of robotic technology in neurosurgery. Her contributions are especially significant for patients with movement disorders, as improved surgical precision can lead to better clinical outcomes. Beyond this foundational work, Xu continues to investigate the integration of advanced robotics and imaging to refine stereotactic techniques. Her research not only advances technical frontiers but also addresses practical barriers to access, making high-precision neurosurgery more widely available. With her work cited by peers as a key reference in robotic DBS, Linda Xu stands as a leading voice in the evolution of minimally invasive, robot-assisted brain surgery.

Research Focus

Key Achievements

1
H-Index
1
Papers
48
Total Citations
48
Avg Citations/Paper
🏆 Most Cited Paper
Frameless Robot-Assisted Deep Brain Stimulation Surgery: An Initial Experience
48 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Stanford University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago