| 2023 | A genome-wide and candidate gene association study of preterm birth in Korean pregnant women | 김영주; 유영아; 박선화; 허영민 | Article |
| 2022 | Development of a New Biomarker Model for Predicting Preterm Birth in Cervicovaginal Fluid | 김영주; 박선화 | Article |
| 2023 | Effect of Particulate Matter 2.5 on Fetal Growth in Male and Preterm Infants through Oxidative Stress | 김영주; 박미혜; 유영아; 박선화; 허영민; 지용호 | Article |
| 2010 | H₂O₂-dependent accumulation of phosphatidylinositol 4-phophate in Golgi | 박선화 | Master's Thesis |
| 2021 | Identification of Indicators for Preterm Birth Using Retinoid Metabolites | 김영주; 권영주; 유영아; 황수연; 박선화 | Article |
| 2023 | Lactobacillus Probiotics Improve Vaginal Dysbiosis in Asymptomatic Women | 김영주; 유영아; Ansari Abuzar; 박선화; 허영민 | Article |
| 2021 | Molecular Mechanism of Microbiota Metabolites in Preterm Birth: Pathological and Therapeutic Insights | 김영주; 유영아; 박선화 | Review |
| 2023 | Personal exposure of PM2.5 and metabolic syndrome markers of pregnant women in South Korea: APPO study | 유영아; 이경아; 박선화; 김수정; 허영민 | Article |
| 2021 | Predictability of Macrosomic Birth based on Maternal Factors and Fetal Aneuploidy Screening Biochemical Markers in Hyperglycemic Mothers | 박선화 | Article |
| 2022 | Predicting preterm birth through vaginal microbiota, cervical length, and WBC using a machine learning model | 김영주; 유영아; Ansari Abuzar; 박선화 | Article |
| 2021 | Prediction of preterm birth based on machine learning using vaginal microbiome | 박선화 | Doctoral Thesis |
| 2021 | Prenatal Exposure to Alcohol, Tobacco, and Coffee: Associated Congenital Complications and Adverse Birth Outcomes | 김영주; 유영아; 박선화 | Article |
| 2013 | RVC 적용 쇼핑 큐레이션 방법 연구 | 박선화 | Master's Thesis |
| 2022 | Transition in vaginal Lactobacillus species during pregnancy and prediction of preterm birth in Korean women | 김영주; 유영아; 권은진; Ansari Abuzar; 박선화 | Article |
| 2022 | Ureaplasma and Prevotella colonization with Lactobacillus abundance during pregnancy facilitates term birth | 김영주; 유영아; 박선화 | Article |
