Un Suk Jung
Papers
1
Total Citations
35
H-Index
1
About
Un Suk Jung is a leading gynecologic oncologist whose work has significantly advanced the surgical management of endometrial and cervical cancers. Her primary research focuses on refining minimally invasive techniques, particularly the learning curve and clinical application of sentinel lymph node (SLN) mapping. In her landmark 2020 study, Jung systematically analyzed the learning curve for SLN detection during robot-assisted laparoscopic surgery, providing critical benchmarks that help surgeons achieve proficiency and reduce false-negative rates. This work, with 35 citations, has become an essential reference for integrating SLN biopsy into standard practice, sparing patients the morbidity of complete lymphadenectomy. Beyond this, Jung has contributed to optimizing robotic surgical protocols and improving oncologic outcomes. Her research bridges the gap between technical innovation and real-world implementation, making her a key figure in the shift toward more precise, less invasive gynecologic cancer care. For students and researchers, her studies offer a model of how rigorous surgical education research can directly transform patient safety and treatment standards.
Research Focus
Key Achievements
Top Papers
- 1Learning curve for sentinel lymph node mapping in gynecologic malignancies35 citations · 2020