Christopher Larrinaga

Baylor College of Medicine

Papers

1

Total Citations

33

H-Index

1

About

Christopher Larrinaga is a rising figure in the field of stereotactic and functional neurosurgery, with a focused expertise in robot-assisted deep brain stimulation (DBS). His major contribution lies in demonstrating that robotic platforms can achieve high accuracy in lead implantation while significantly streamlining the surgical workflow. In his most-cited work, "Robot-Assisted Deep Brain Stimulation: High Accuracy and Streamlined Workflow" (2022, 33 citations), Larrinaga provides compelling evidence that robot-assisted stereotaxy is not only comparable to conventional frame-based systems in precision but also reduces operating room times, a critical advancement for both patient outcomes and surgical efficiency. This research addresses a key bottleneck in DBS procedures, positioning Larrinaga at the forefront of integrating cutting-edge robotics into neurosurgical practice. His work is particularly notable for bridging the gap between technological innovation and clinical application, offering a practical pathway for wider adoption of robotic systems in functional neurosurgery. As a researcher, Larrinaga is shaping the future of minimally invasive brain surgery, making him a key voice for students and clinicians interested in the intersection of robotics, neurology, and surgical precision.

Research Focus

Key Achievements

1
H-Index
1
Papers
33
Total Citations
33
Avg Citations/Paper
🏆 Most Cited Paper
Robot-Assisted Deep Brain Stimulation: High Accuracy and Streamlined Workflow
33 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Baylor College of Medicine

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago