About

Gerrit Naus is a pioneering researcher at the intersection of robotics and ophthalmic microsurgery, whose work has fundamentally advanced the precision and safety of intraocular procedures. His research focuses on developing and clinically validating robotic systems for vitreoretinal surgery — one of medicine's most technically demanding disciplines, where instrument movements must be controlled at the micrometer scale. Naus's most celebrated contribution is his involvement in the first-in-human study of intraocular robotic surgery (2018, 215 citations), a landmark achievement demonstrating that robotic assistance could be safely deployed inside the living human eye. Building on years of foundational work dating to 2012, he has systematically explored robotic cannulation of occluded retinal veins, subretinal drug delivery under local anesthesia, and epiretinal membrane peeling — tackling conditions that cause significant vision loss worldwide. His randomized controlled trials comparing robotic and manual surgical outcomes represent a rigorous step toward clinical adoption, while his widely cited reviews have helped define the field's trajectory. Collectively accumulating over 660 citations, Naus's body of work establishes him as a central figure in translating robotic microsurgery from laboratory concept to real-world patient benefit, offering genuine hope for treating previously untreatable retinal conditions with unprecedented accuracy.

Research Focus

Key Achievements

13
H-Index
23
Papers
775
Total Citations
34
Avg Citations/Paper
🏆 Most Cited Paper
First-in-human study of the safety and viability of intraocular robotic surgery
215 citations · 2018
📈 Most Prolific Year: 2018 (5 Papers)
🤝 Key Collaborators: 95
🏛 Institutions: University of Oxford, Prysmian Group (Netherlands), Eindhoven University of Technology, Systems Technology (United States)

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9
  10. 10

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago