Papers

9

Total Citations

157

H-Index

6

About

Seongmin Kim is a gynecologic surgeon and clinical researcher whose work sits at the intersection of minimally invasive surgery, surgical education, and oncologic outcomes in women's health. Based at Korea University Anam Hospital, Kim has made significant contributions to understanding how surgeons develop proficiency in complex procedures, with a particular focus on learning curves across robotic and laparoscopic platforms. His landmark investigations into radical hysterectomy for cervical cancer — including a widely cited 2020 study with 40 citations — critically examined how surgical experience influences oncologic outcomes in minimally invasive settings, findings with direct implications for patient safety and training standards. Kim has similarly advanced knowledge of sentinel lymph node mapping in gynecologic malignancies (35 citations) and systematically compared robotic versus laparoscopic approaches for cervical cancer treatment (21 citations). His research extends to practical clinical concerns such as vaginal cuff dehiscence risk factors (38 citations), robotic single-site ovarian cystectomy, endometriosis management, and the surgical challenges posed by exceptionally large uteri. More recently, Kim has offered early insights into next-generation robotic platforms, including the Da Vinci 5 system, positioning him as a forward-looking voice in the evolving landscape of robotic gynecologic surgery.

Research Focus

Key Achievements

6
H-Index
9
Papers
157
Total Citations
17
Avg Citations/Paper
🏆 Most Cited Paper
Learning curve could affect oncologic outcome of minimally invasive radical hysterectomy for cervical cancer
40 citations · 2020
📈 Most Prolific Year: 2024 (3 Papers)
🤝 Key Collaborators: 17
🏛 Institutions: Korea University, Korea University Medical Center, CHA University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago