Quinston Lee

University of Aberdeen

Papers

1

Total Citations

4

H-Index

1

About

Quinston Lee is a clinical researcher whose work bridges anesthesiology and surgical innovation, with a particular focus on optimizing perioperative pain management in robotic-assisted surgeries. His most cited paper, a 2023 systematic review and meta-analysis on intrathecal morphine (ITM) for post-operative pain relief in robotic procedures, critically evaluates the efficacy and dosing challenges of ITM in this rapidly expanding surgical field. By synthesizing real-world evidence, Lee clarifies the nuanced role of ITM, offering actionable insights for clinicians seeking to balance effective analgesia with safety in robotic surgery. This work, with 4 citations, underscores his ability to tackle underexplored clinical questions with rigorous methodology. Lee’s research is especially relevant as robotic-assisted surgeries become more prevalent, demanding tailored anesthetic protocols. His contributions not only advance evidence-based practice but also highlight the importance of systematic reviews in translating complex data into clinical guidelines. For students and researchers, Lee’s work exemplifies how targeted meta-analyses can illuminate best practices in modern surgical care.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Intrathecal Morphine and Post-Operative Pain Relief in Robotic Surgeries: A Systematic Review and Meta-Analysis
4 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: University of Aberdeen

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago