Papers

6

Total Citations

97

H-Index

4

About

Yingqun Tao is a neurosurgeon and clinical researcher whose work centers on the advancement of robotic-assisted neurosurgery, deep brain stimulation (DBS), and minimally invasive approaches to cerebrovascular conditions. Tao has made meaningful contributions to optimizing DBS surgical techniques, most notably through investigations into improved registration methods for the ROSA robotic system, demonstrating that modified approaches can meaningfully reduce electrode placement error — work that has garnered 32 citations. Equally influential is Tao's comparative analysis of asleep versus awake robot-assisted DBS for Parkinson's disease, drawing on a cohort of 153 patients and offering practical clinical guidance that has also accumulated 32 citations. Beyond Parkinson's disease, Tao has extended robotic surgical expertise to the treatment of spontaneous thalamic hemorrhage and hypertensive intracerebral hemorrhage, exploring how ROSA-assisted techniques can improve patient outcomes in these high-risk conditions. More recently, Tao has addressed an underserved population by evaluating the safety and efficacy of DBS in elderly patients aged 75 and older. Collectively, Tao's research reflects a consistent commitment to refining neurosurgical precision, expanding patient eligibility for advanced interventions, and translating technological innovation into tangible clinical benefit.

Research Focus

Key Achievements

4
H-Index
6
Papers
97
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
Improved accuracy using a modified registration method of ROSA in deep brain stimulation surgery
32 citations · 2018
📈 Most Prolific Year: 2018 (2 Papers)
🤝 Key Collaborators: 34
🏛 Institutions: General Hospital of Shenyang Military Region, Northern Hospital

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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