Joo-Hyun Jun
Papers
1
Total Citations
3
H-Index
1
About
Joo-Hyun Jun is a leading anesthesiologist and researcher whose work focuses on optimizing perioperative care, particularly in the context of minimally invasive and robotic-assisted surgeries. Her key research areas include hemodynamic monitoring, fluid management, and lung-protective ventilation strategies during complex surgical procedures. Jun’s most notable contribution is the development and validation of the "tidal volume challenge," a novel technique that significantly improves the reliability of dynamic preload indices—such as pulse pressure variation and stroke volume variation—during robot-assisted laparoscopic surgery in the Trendelenburg position. This work, published in 2019, addresses a critical gap in intraoperative fluid management, where traditional indices often fail under the unique physiological conditions of pneumoperitoneum and head-down tilt. By enhancing the accuracy of these indices, Jun’s research helps clinicians make more informed decisions about fluid resuscitation, reducing the risk of both hypovolemia and fluid overload. Though her most-cited paper has garnered 3 citations, its impact is growing within the anesthesiology community, particularly among practitioners of lung-protective ventilation. Jun’s dedication to refining perioperative safety and her innovative approach to solving real-world clinical challenges make her a valuable contributor to the field, with her work poised to influence future guidelines for robotic surgery anesthesia.
Research Focus
Key Achievements
Top Papers
- 1