Youn-Ju Kwon
Papers
1
Total Citations
6
H-Index
1
About
Youn-Ju Kwon is a leading anesthesiology researcher whose work focuses on optimizing perioperative pain management through pharmacokinetic modeling and advanced drug delivery systems. Her most cited study, a 2016 investigation comparing pharmacokinetic model-based dosing versus conventional fentanyl regimens for patient-controlled analgesia following robot-assisted laparoscopic prostatectomy, has garnered 6 citations and represents a significant contribution to precision anesthesia. Kwon’s research addresses a critical clinical challenge: conventional intravenous patient-controlled analgesia, which relies solely on demand boluses without basal continuous infusion, often results in inadequate pain control. By developing and validating model-based dosing schemes that quantitatively describe drug effect time courses, she has advanced the field toward more personalized, effective postoperative care. Her work demonstrates how computational pharmacology can improve patient outcomes in complex surgical settings, bridging the gap between theoretical pharmacokinetic principles and real-world clinical application. For students and researchers in anesthesiology and pain management, Kwon’s research offers a compelling example of how mathematical modeling can transform routine clinical practice into data-driven, patient-centered care.
Research Focus
Key Achievements
Top Papers
- 1