David J. Schaeffer

University of Pittsburgh, Research Network (United States)

Papers

2

Total Citations

21

H-Index

2

About

David J. Schaeffer is a leading figure in translational neuroscience, specializing in the development of high-precision, minimally-invasive neurosurgical techniques for non-human primates (NHPs). His research sits at the critical intersection of robotics, neuroimaging, and systems neuroscience, aiming to bridge the gap between basic brain research and clinical application. Schaeffer’s major contribution is the integration of robotic-assisted platforms, such as the ROSA One, to dramatically improve the accuracy and reproducibility of deep brain electrophysiology, overcoming the limitations of traditional stereotaxic methods. His work on an open-source MRI-compatible frame further democratizes access to precise multimodal presurgical mapping, enabling individualized anatomical targeting across species like macaque and capuchin monkeys. While his most-cited works are recent—with his 2022 paper on robot-assisted neurosurgery already garnering 14 citations—their impact is rapidly growing, establishing new standards for surgical fidelity in primate research. By making these advanced tools open-source and adaptable, Schaeffer is not only advancing the study of neural circuits but also setting a foundation for safer, more effective human neurosurgical interventions.

Research Focus

Key Achievements

2
H-Index
2
Papers
21
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Robot Assisted Neurosurgery for High-Accuracy, Minimally-Invasive Deep Brain Electrophysiology in Monkeys
14 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 19
🏛 Institutions: University of Pittsburgh, Research Network (United States)

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago