Steven Monda

Washington University in St. Louis

Papers

2

Total Citations

65

H-Index

2

About

Steven Monda is a leading figure in urologic surgical simulation, with a focused research program dedicated to advancing robotic partial nephrectomy training. His work addresses a critical need in surgical education: developing and validating realistic, accessible models that allow residents to master complex robotic techniques without compromising patient safety. Monda’s most influential contribution is the creation and validation of a silicone renal tumor model for robotic partial nephrectomy training, a highly cited study (52 citations) that provides a durable, anatomically accurate, and reusable platform for deliberate practice. He further extended this work by rigorously assessing an ex vivo porcine model at a high-volume tertiary center, using the Global Evaluative Assessment of Robotic Skills (GEARS) tool to confirm its effectiveness in improving resident confidence and technical skill. By demonstrating that these simulation models are both valid and practical for integration into busy residency programs, Monda has helped establish a new standard for hands-on robotic training. His research directly addresses the modern challenge of balancing operative experience with educational demands, making him a key contributor to the future of safe, simulation-based surgical education.

Research Focus

Key Achievements

2
H-Index
2
Papers
65
Total Citations
33
Avg Citations/Paper
🏆 Most Cited Paper
Development and Validity of a Silicone Renal Tumor Model for Robotic Partial Nephrectomy Training
52 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 15
🏛 Institutions: Washington University in St. Louis

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago