Jae Yun Song
Papers
5
Total Citations
100
H-Index
4
About
Jae Yun Song is a gynecologic surgeon and researcher whose work sits at the intersection of minimally invasive surgery and gynecologic oncology. With a focus on surgical technique optimization, learning curve analysis, and oncologic outcomes, Song has made meaningful contributions to how clinicians understand and adopt advanced surgical approaches in the treatment of cervical and endometrial cancers, as well as benign gynecologic conditions. Song's most-cited work (40 citations) examines how surgeon learning curves influence oncologic outcomes in minimally invasive radical hysterectomy for cervical cancer — a clinically significant question following landmark trials that raised concerns about the safety of laparoscopic approaches. A complementary study on sentinel lymph node mapping in gynecologic malignancies (35 citations) further establishes Song's expertise in refining surgical protocols for cancer staging. Beyond oncology, Song has systematically compared emerging robotic platforms with conventional laparoscopic techniques across single-port and single-site approaches, providing practical outcome data for surgical teams considering technology adoption. Collectively accumulating nearly 100 citations, Song's body of work serves as a valuable resource for gynecologic surgeons navigating the rapidly evolving landscape of robotic and minimally invasive surgery, offering evidence-based guidance on both technique efficacy and the critical role of surgical experience.
Research Focus
Key Achievements
Top Papers
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- 2Learning curve for sentinel lymph node mapping in gynecologic malignancies35 citations · 2020
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