Peyman Benharash

University of California, Los Angeles

Papers

13

Total Citations

342

H-Index

10

About

Peyman Benharash is a surgeon-researcher whose work sits at the intersection of minimally invasive surgery, health economics, and outcomes research. His scholarship has systematically examined the clinical value and cost-effectiveness of robotic-assisted surgical platforms across a wide range of procedures — from abdominal and thoracic operations to cardiac surgery. Through rigorous analyses of large national databases, Benharash has generated some of the most comprehensive comparative data available on robotic versus laparoscopic and open surgical approaches. His most cited work, a 2023 national analysis of cost disparities in robotic-assisted versus laparoscopic abdominal surgery (95 citations), exemplifies his ability to translate complex health systems data into actionable clinical insights. His research on robotic and thoracoscopic lobectomy for lung cancer, thymectomy, and pancreaticoduodenectomy has collectively accumulated hundreds of citations, reflecting broad influence across surgical specialties. Notably, his investigation into cost-volume relationships in robotic thoracic surgery offers important guidance for hospital administrators and policymakers weighing technology adoption decisions. Benharash's body of work positions him as a leading voice in evidence-based surgical innovation, helping the field navigate the balance between technological advancement, patient outcomes, and resource stewardship.

Research Focus

Key Achievements

10
H-Index
13
Papers
342
Total Citations
26
Avg Citations/Paper
🏆 Most Cited Paper
National analysis of cost disparities in robotic-assisted versus laparoscopic abdominal operations
95 citations · 2023
📈 Most Prolific Year: 2024 (3 Papers)
🤝 Key Collaborators: 51
🏛 Institutions: University of California, Los Angeles

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 · 14 days ago