Papers

4

Total Citations

58

H-Index

4

About

Nathan Schuler is a rising leader in urologic surgical education and robotic surgery, whose research is reshaping how surgeons train for complex procedures. His primary focus lies at the intersection of surgical simulation, objective performance assessment, and the translation of skills across robotic platforms. Schuler’s most impactful work, "Recent Advances in Surgical Simulation For Resident Education" (30 citations), provides a critical overview of modern training paradigms. He has pioneered the use of machine learning to objectively predict a surgeon’s experience level, as demonstrated in his 2023 study on robotic nerve-sparing radical prostatectomy (12 citations), which moves beyond subjective evaluation to data-driven metrics. Schuler has also addressed the practical challenges of adopting new technology, notably investigating the natural transfer of skills between multiport and single-port robotic systems (10 citations). His work on robotic-assisted transplant nephrectomy (6 citations) further showcases his commitment to expanding minimally invasive options through novel training models. By combining rigorous simulation science with advanced analytics, Schuler is building the evidence base for more efficient, objective, and safe surgical training, directly impacting how future urologists master cutting-edge techniques.

Research Focus

Key Achievements

4
H-Index
4
Papers
58
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
Recent Advances in Surgical Simulation For Resident Education
30 citations · 2023
📈 Most Prolific Year: 2023 (3 Papers)
🤝 Key Collaborators: 32
🏛 Institutions: Johns Hopkins University, University of Rochester Medical Center

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago