Jeffrey R. Wilson

Arizona State University

Papers

1

Total Citations

35

H-Index

1

About

Jeffrey R. Wilson is a surgical outcomes researcher whose work has advanced the understanding of safety and complication patterns in robotic-assisted gynecologic surgery. His most-cited study, a six-year retrospective cohort analysis, systematically classified complications using the Clavien-Dindo system, providing a granular, case-type-specific framework that helps surgeons anticipate risks and improve perioperative protocols. With over 35 citations, this foundational paper has influenced quality improvement initiatives in minimally invasive gynecology. Wilson’s contributions lie in bridging surgical technique with rigorous outcomes measurement, offering evidence that guides both clinical decision-making and patient counseling. His research underscores the importance of standardized complication reporting in robotic surgery, a field where precision and safety are paramount. For students and researchers, Wilson’s work exemplifies how retrospective data, when carefully analyzed, can yield actionable insights that enhance surgical practice and patient care.

Research Focus

Key Achievements

1
H-Index
1
Papers
35
Total Citations
35
Avg Citations/Paper
🏆 Most Cited Paper
Complications in Robotic-Assisted Gynecologic Surgery According to Case Type: A 6-Year Retrospective Cohort Study Using Clavien-Dindo Classification
35 citations · 2014
📈 Most Prolific Year: 2014 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Arizona State University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago