Papers

2

Total Citations

38

H-Index

2

About

Junaid Ashraf is a pediatric urologist whose research focuses on refining robotic surgical techniques to improve outcomes for children. His work centers on two key areas: defining objective learning curves for robotic procedures and innovating surgical methods to enhance efficiency. Ashraf’s most cited study, “Robot Docking Time: Cumulative Summation Analysis of a Procedure-Independent Learning Curve in Pediatric Urology” (2018, 22 citations), introduced a novel, procedure-agnostic metric for assessing surgical skill acquisition, moving beyond traditional procedure-specific benchmarks. This work provides a powerful tool for training and credentialing. Complementing this, his study “Robotic Pyeloplasty in Children: A ‘Barbed’ Shortcut” (2017, 16 citations) demonstrated the efficacy of using barbed sutures (V-Loc™) to simplify and expedite robotic pyeloplasty for pelviureteric junction obstruction, a standard treatment. By showing that this “shortcut” maintains high-quality outcomes while reducing operative time, Ashraf contributed a practical innovation that has been adopted by other surgeons. His research is characterized by a focus on measurable, reproducible improvements in pediatric robotic surgery, directly impacting both surgeon training and patient care.

Research Focus

Key Achievements

2
H-Index
2
Papers
38
Total Citations
19
Avg Citations/Paper
🏆 Most Cited Paper
Robot Docking Time: Cumulative Summation Analysis of a Procedure-Independent Learning Curve in Pediatric Urology
22 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Leeds General Infirmary, Leeds Teaching Hospitals NHS Trust

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago