Kong, Sek Won
Boston Children's Hospital · Harvard University
11 papers on CoChatORCID 0000-0003-4877-7567
Most cited papers
- Verified
Personalized iPSC-Derived Dopamine Progenitor Cells for Parkinson’s Disease
Schweitzer, J. S., Song, B., Herrington, T. M., Park, T.-Y., Lee, N., Ko, S., Jeon, J., Cha, Y., Kim, K., Li, Q., et al. (2020) · New England Journal of Medicine
Pluripotent Stem Cells ResearchParkinson's Disease Mechanisms and Treatments
Cited by 542
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Development of heart valves requires Gata4 expression in endothelial-derived cells
Rivera-Feliciano, J., Lee, K.-H., Kong, S. W., Rajagopal, S., Ma, Q., Springer, Z., Izumo, S., Tabin, C. J., & Pu, W. T. (2006) · Development
Congenital heart defects researchDevelopmental Biology and Gene Regulation
Cited by 190
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Multinuclear magnetic resonance spectroscopy of high-energy phosphate metabolites in human brain following oral supplementation of creatine-monohydrate
Lyoo, I. K., Kong, S. W., Sung, S. M., Hirashima, F., Parow, A., Hennen, J., Cohen, B. M., & Renshaw, P. F. (2003) · Psychiatry Research: Neuroimaging
Advanced MRI Techniques and ApplicationsMuscle metabolism and nutrition
Cited by 140
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Absence of evidence for increase in risk for autism or attention-deficit hyperactivity disorder following antidepressant exposure during pregnancy: A replication study
Castro, V. M., Kong, S. W., Clements, C. C., Brady, R., Kaimal, A. J., Doyle, A. E., Robinson, E. B., Churchill, S. E., Kohane, I. S., & Perlis, R. H. (2016) · Translational Psychiatry
Pregnancy and Medication ImpactMaternal Mental Health During Pregnancy and Postpartum
Cited by 82
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CompleteMOTIFs: DNA motif discovery platform for transcription factor binding experiments
Kuttippurathu, L., Hsing, M., Liu, Y., Schmidt, B., Maskell, D. L., Lee, K., He, A., Pu, W. T., & Kong, S. W. (2011) · Bioinformatics
Genomics and Chromatin DynamicsGenomics and Phylogenetic Studies
Cited by 48
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Analysis of the Otd-dependent transcriptome supports the evolutionary conservation of CRX/OTX/OTD functions in flies and vertebrates
Ranade, S. S., Yang-Zhou, D., Kong, S. W., McDonald, E. C., Cook, T. A., & Pignoni, F. (2008) · Developmental Biology
Developmental Biology and Gene RegulationNeurobiology and Insect Physiology Research
Cited by 46
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AI-readiness Criteria for Biomedical Data
Clark, T., Caufield, H., Parker, J. A., Al Manir, S., Amorim, E., Eddy, J., Gim, N., Gow, B., Goar, W., Hansen, J. N., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory)
Research Data Management PracticesArtificial Intelligence in Healthcare and Education
Cited by 32
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Divergent dysregulation of gene expression in murine models of fragile X syndrome and tuberous sclerosis
Kong, S. W., Sahin, M., Collins, C. D., Wertz, M. H., Campbell, M. G., Leech, J. D., Krueger, D., Bear, M. F., Kunkel, L. M., & Kohane, I. S. (2014) · Molecular Autism
Genetics and Neurodevelopmental DisordersAutism Spectrum Disorder Research
Cited by 19
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Discordance between a deep learning model and clinical-grade variant pathogenicity classification in a rare disease cohort
Kong, S. W., Lee, I.-H., Collen, L. V., Field, M., Manrai, A. K., Snapper, S. B., & Mandl, K. D. (2025) · npj Genomic Medicine
Genomics and Rare DiseasesGenetic Associations and Epidemiology
Cited by 18
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Discordance between a deep learning model and clinical-grade variant pathogenicity classification in a rare disease cohort
Kong, S. W., Lee, I.-H., Collen, L. V., Manrai, A. K., Snapper, S. B., & Mandl, K. D. (2024) · npj Genomic Medicine
Genomics and Rare DiseasesGenetic Associations and Epidemiology
Cited by 18
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Solving for X: Evidence for sex‐specific autism biomarkers across multiple transcriptomic studies
Lee, S. C., Quinn, T. P., Lai, J., Kong, S. W., Hertz‐Picciotto, I., Glatt, S. J., Crowley, T. M., Venkatesh, S., & Nguyen, T. (2019) · American Journal of Medical Genetics Part B: Neuropsychiatric Genetics
Autism Spectrum Disorder ResearchGenetics and Neurodevelopmental Disorders
Cited by 14
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