Papers

4

Total Citations

87

H-Index

3

About

Lucas Philipp is a neurosurgeon and researcher whose work sits at the intersection of functional neurosurgery, stereotactic techniques, and healthcare economics. He has made significant contributions to advancing the precision and safety of minimally invasive brain procedures, particularly deep brain stimulation (DBS) and stereoelectroencephalography (sEEG) — two critical modalities used in treating epilepsy and movement disorders. His most influential work, a rigorous meta-analysis and meta-regression encompassing 6,056 surgical trajectories, demonstrated that robot-assisted stereotaxy meaningfully reduces target error compared to conventional methods, providing the field with compelling quantitative evidence to guide adoption of emerging surgical technologies. This study has accumulated 62 citations, establishing Philipp as a credible voice in the growing literature on surgical robotics. Beyond the operating room, Philipp has shown a commitment to systems-level thinking, contributing a notable narrative review identifying the ten major cost drivers in spine surgery — reflecting his interest in value-based care and healthcare sustainability. His technical contributions, including work on the Stealth Autoguide robotic system, further underscore his dedication to refining electrode implantation methods. Philipp's research profile marks him as an emerging leader bridging surgical innovation with practical, patient-centered outcomes.

Research Focus

Key Achievements

3
H-Index
4
Papers
87
Total Citations
22
Avg Citations/Paper
🏆 Most Cited Paper
Robot-Assisted Stereotaxy Reduces Target Error: A Meta-Analysis and Meta-Regression of 6056 Trajectories
62 citations · 2020
📈 Most Prolific Year: 2021 (2 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Thomas Jefferson University Hospital, Thomas Jefferson University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago