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Author

Seungki Min

Institution: Sejong Institute
ORCID: 0000-0001-9147-1120
Observed ORCID: 0000-0001-9147-1120
OpenAlex ID: A5045227453
Serial Circulating Tumor DNA Analysis with a Tumor-Naïve Next-Generation Sequencing Panel Detects Minimal Residual Disease and Predicts Outcome in Ovarian Cancer
2023 · Jinho Heo, Yoo-Na Kim, et al. · Cancer Research · 50
Genomic Profiling in Patients with Endometrial Cancer by Deep Sequencing of Vaginal Swabs and Plasma
2025 · Namsoo Kim, Yoo-Na Kim, et al. · Clinical Cancer Research · 6
Data from Genomic Profiling in Patients with Endometrial Cancer by Deep Sequencing of Vaginal Swabs and Plasma
2025 · Namsoo Kim, Yoo-Na Kim, et al.
Supplementary Text, Table, Figure1 from Genomic Profiling in Patients with Endometrial Cancer by Deep Sequencing of Vaginal Swabs and Plasma
2025 · Namsoo Kim, Yoo-Na Kim, et al.
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Supplementary Data1 from Genomic Profiling in Patients with Endometrial Cancer by Deep Sequencing of Vaginal Swabs and Plasma
2025 · Namsoo Kim, Yoo-Na Kim, et al.
Table S1-S5, Figure S1-S3 from Serial Circulating Tumor DNA Analysis with a Tumor-Naïve Next-Generation Sequencing Panel Detects Minimal Residual Disease and Predicts Outcome in Ovarian Cancer
2024 · Jinho Heo, Yoo-Na Kim, et al.
Table S1-S5, Figure S1-S3 from Serial Circulating Tumor DNA Analysis with a Tumor-Naïve Next-Generation Sequencing Panel Detects Minimal Residual Disease and Predicts Outcome in Ovarian Cancer
2024 · Jinho Heo, Yoo-Na Kim, et al.
Data from Serial Circulating Tumor DNA Analysis with a Tumor-Naïve Next-Generation Sequencing Panel Detects Minimal Residual Disease and Predicts Outcome in Ovarian Cancer
2024 · Jinho Heo, Yoo-Na Kim, et al.
Data from Serial Circulating Tumor DNA Analysis with a Tumor-Naïve Next-Generation Sequencing Panel Detects Minimal Residual Disease and Predicts Outcome in Ovarian Cancer
2024 · Jinho Heo, Yoo-Na Kim, et al.
Works count: 9
Citation count: 56
H-index: 2
I10-index: 1
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