Papers

11

Total Citations

280

H-Index

9

About

Ga Won Yim is a gynecologic surgeon and researcher whose work has significantly advanced the application of robotic and minimally invasive surgery in gynecologic oncology. Based at a single institution in South Korea, Yim has been at the forefront of integrating robotic surgical systems into the treatment of cervical cancer and other gynecologic conditions, establishing foundational evidence for their safety, feasibility, and clinical outcomes. Among Yim's most influential contributions is her early investigation into the learning curve of robot-assisted radical hysterectomy (62 citations), offering crucial guidance for surgeons adopting this technology. Her pioneering work on robotic single-port transumbilical hysterectomy (61 citations) demonstrated the viability of novel port configurations, pushing the boundaries of minimally invasive technique. Collectively, her comparative studies on robotic versus conventional laparoscopic approaches and her analyses of perioperative complications have helped define best practices across the field. More recently, Yim has engaged with pressing oncologic safety concerns, contributing to the multi-centre SOLUTION trial, which addresses tumor spillage risks in minimally invasive radical hysterectomy — a critical issue following landmark studies questioning laparoscopic outcomes. With over 275 cumulative citations, her body of work reflects a sustained commitment to refining surgical innovation while prioritizing patient safety.

Research Focus

Key Achievements

9
H-Index
11
Papers
280
Total Citations
25
Avg Citations/Paper
🏆 Most Cited Paper
Learning curve analysis of robot-assisted radical hysterectomy for cervical cancer: initial experience at a single institution
62 citations · 2013
📈 Most Prolific Year: 2011 (2 Papers)
🤝 Key Collaborators: 33
🏛 Institutions: Yonsei University, Gynecologic Oncology Group, Dongguk University, National Medical Center

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago