Papers

4

Total Citations

26

H-Index

3

About

Li June Tay is a surgical researcher whose work centers on refining robot-assisted surgical techniques, particularly in urological oncology. Her primary research areas include the optimization of robotic radical prostatectomy, the role of the bedside assistant in robotic surgery, and the analysis of surgical learning curves. Tay’s most significant contribution is her critical synthesis of the bedside assistant’s role in robot-assisted surgery (2022, 16 citations), which provides essential guidance for surgical teams and has become a foundational reference in the field. She has also conducted comparative analyses of Retzius-sparing versus anterior approach robotic radical prostatectomy (2023, 6 citations), demonstrating improved early post-operative outcomes for the former technique. Her work on the learning curve for Retzius-sparing procedures (2023, 3 citations) helps surgeons understand the case volume needed for proficiency. Additionally, Tay has explored the feasibility of short-stay robotic radical prostatectomy in state-funded healthcare systems (2023, 1 citation), addressing critical challenges in surgical efficiency and resource management. Her research directly impacts surgical training, patient recovery, and healthcare delivery, making her a valuable voice in advancing minimally invasive surgery.

Research Focus

Key Achievements

3
H-Index
4
Papers
26
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
The role of the bedside assistant in robot-assisted surgery: A critical synthesis
16 citations · 2022
📈 Most Prolific Year: 2023 (3 Papers)
🤝 Key Collaborators: 17
🏛 Institutions: Cambridge University Hospitals NHS Foundation Trust

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago