Chengyuan Wu

Papers

1

Total Citations

2

H-Index

1

About

Chengyuan Wu is a neurosurgeon and researcher whose work sits at the intersection of functional neurosurgery, stereotactic techniques, and surgical innovation. His contributions focus on advancing the precision and safety of neurosurgical procedures, particularly through the integration of robotic technology into stereotactic surgery. Wu's notable 2021 meta-analysis and meta-regression, examining over 6,056 trajectories across multiple studies, demonstrated that robot-assisted stereotaxy meaningfully reduces target error compared to conventional approaches — a finding with significant implications for procedures such as deep brain stimulation and stereoelectroencephalography, where millimeter-level accuracy is critical to patient outcomes. This work synthesizes a broad body of evidence to provide clinicians with robust, quantitative guidance on adopting emerging surgical technologies. Affiliated with a major academic medical center, Wu combines clinical expertise in neurosurgery with a background in biomedical engineering — reflected in his dual credentials as an MD and MSBmE — positioning him uniquely to evaluate the technical dimensions of surgical systems. His research ultimately aims to improve outcomes for patients with neurological conditions by refining the tools and methods surgeons rely upon.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Robot-Assisted Stereotaxy Reduces Target Error: A Meta-Analysis and Meta-Regression of 6056 Trajectories
2 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 5

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago