Yen Sin Wong

University of Aberdeen

Papers

1

Total Citations

4

H-Index

1

About

Yen Sin Wong is a clinical researcher whose work centers on perioperative pain management and the optimization of anesthetic techniques in minimally invasive surgery. Her major contributions focus on evaluating the efficacy and safety of intrathecal morphine (ITM) in robotic-assisted surgeries (RAS), a rapidly expanding field where traditional pain management approaches remain poorly defined. In her landmark 2023 systematic review and meta-analysis, Wong synthesized real-world evidence to clarify the role and optimal dosing of ITM, providing actionable insights for clinicians seeking to improve post-operative pain relief while minimizing opioid-related side effects. Although early in its citation history, this work has already garnered 4 citations, signaling its growing influence among anesthesiologists and surgical teams. Wong’s research addresses a critical gap in evidence-based practice, bridging the divide between the potential benefits of neuraxial analgesia and the practical challenges of robotic surgery. Her adherence to rigorous methodologies, such as PRISMA guidelines, underscores her commitment to high-quality, reproducible research. For students and researchers in anesthesiology and surgical innovation, Wong’s work offers a clear roadmap for future investigations into personalized, multimodal pain management in the era of robotics.

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 · 12 days ago