Nancy Yu

McGill University

Papers

1

Total Citations

12

H-Index

1

About

Nancy Yu is a surgical researcher whose work focuses on the intersection of robotic surgery, technical performance assessment, and urological oncology. Her most influential contribution is the development of objective metrics to quantify the "Assistant Effect" in robotic-assisted radical prostatectomy (RARP), a novel approach that isolates and measures the technical performance of the surgical assistant—a role often overlooked in surgical outcomes research. Her landmark 2020 paper on this topic, which has garnered 12 citations, introduced a framework for evaluating how assistant skill impacts procedural efficiency and patient safety, challenging traditional surgeon-centric models. This work has implications for surgical training, credentialing, and team-based performance optimization in minimally invasive surgery. Yu’s research is notable for bridging the gap between engineering precision and clinical practice, offering data-driven tools to improve robotic surgical workflows. Her findings have been presented at major urology conferences and are increasingly referenced in studies on surgical ergonomics and team dynamics. By highlighting the often-invisible contributions of surgical assistants, Yu is reshaping how we understand and evaluate collaborative performance in the operating room.

Research Focus

Key Achievements

1
H-Index
1
Papers
12
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Quantifying the “Assistant Effect” in Robotic-Assisted Radical Prostatectomy (RARP): Measures of Technical Performance
12 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: McGill University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago