Brian N. Arnold

Yale University

Papers

2

Total Citations

67

H-Index

2

About

Brian N. Arnold is a leading thoracic surgeon whose research focuses on defining and improving outcomes in robotic-assisted thoracoscopic surgery (RobATS) for lung cancer. His landmark 2018 study, "Defining the learning curve in robot-assisted thoracoscopic lobectomy," with 42 citations, established critical benchmarks for surgical proficiency, demonstrating that surgeons achieve mastery after approximately 20 cases. Complementing this, his analysis of "Robotic-Assisted Lobectomies in the National Cancer Database" (25 citations) provided the first large-scale, real-world evidence that RobATS lobectomy yields favorable outcomes comparable to traditional approaches, accelerating adoption of this minimally invasive technique. Arnold's work has directly shaped training protocols and quality standards in thoracic oncology, empowering surgeons to safely transition to robotic platforms. His contributions are widely cited by peers and have influenced national guidelines, cementing his role as a key figure in the evolution of lung cancer surgery. For students and researchers, Arnold exemplifies how rigorous clinical data can drive innovation and improve patient care.

Research Focus

Key Achievements

2
H-Index
2
Papers
67
Total Citations
34
Avg Citations/Paper
🏆 Most Cited Paper
Defining the learning curve in robot-assisted thoracoscopic lobectomy
42 citations · 2018
📈 Most Prolific Year: 2018 (2 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Yale University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago