S. Alan McNeill

NHS Lothian, Western General Hospital

Papers

4

Total Citations

83

H-Index

3

About

S. Alan McNeill is a urological surgeon and researcher whose work has significantly advanced the understanding of minimally invasive techniques for radical prostatectomy, particularly in the context of prostate cancer treatment. His research focuses on comparative surgical outcomes, learning curves, and the adoption of laparoscopic (LRP) and robot-assisted radical prostatectomy (RARP) within modern urological practice. McNeill's most influential contribution, garnering 42 citations, rigorously examined the learning curves of LRP and RARP through a matched-surgeon analysis, offering valuable insights into the cost-benefit considerations of robotic surgery adoption by health services. Complementing this, his 2014 national outcomes report — drawing on British Association of Urological Surgeons (BAUS) registry data — provided a rare, large-scale snapshot of contemporary UK prostatectomy practice, informing healthcare policy and surgical training standards. His interest in surgical innovation extends to haptic technology: a notable cadaveric study exploring the "E-Finger," a direct elasticity assessment device, addressed the absence of tactile feedback in robotic surgery — a frontier challenge in the field. Through literature-based analyses of surgical learning curves, McNeill has helped define benchmarks that guide emerging surgeons. His body of work collectively shapes safer, more evidence-based approaches to prostate cancer surgery.

Research Focus

Key Achievements

3
H-Index
4
Papers
83
Total Citations
21
Avg Citations/Paper
🏆 Most Cited Paper
A Critical Analysis of the Learning Curve and Postlearning Curve Outcomes of Two Experience- and Volume-Matched Surgeons for Laparoscopic and Robot-Assisted Radical Prostatectomy
42 citations · 2015
📈 Most Prolific Year: 2014 (3 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: NHS Lothian, Western General Hospital

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago