Song, Won-min

Molecular subtyping of Alzheimer’s disease using RNA sequencing data reveals novel mechanisms and targets

Neff, R. A., Wang, M., Vatansever, S., Guo, L., Ming, C., Wang, Q., Wang, E., Horgusluoglu-Moloch, E., Song, W.-M., Li, A., et al. (2021) · Science Advances

Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research

Cited by 306

Transformative Network Modeling of Multi-omics Data Reveals Detailed Circuits, Key Regulators, and Potential Therapeutics for Alzheimer’s Disease

Wang, M., Li, A., Sekiya, M., Beckmann, N. D., Quan, X., Schrode, N., Fernando, M. B., Yu, A., Zhu, L., Cao, J., et al. (2021) · Neuron

Alzheimer's disease research and treatmentsBioinformatics and Genomic Networks

Cited by 185

Integrative metabolomics‐genomics approach reveals key metabolic pathways and regulators of Alzheimer's disease

Horgusluoglu, E., Neff, R., Song, W., Wang, M., Wang, Q., Arnold, M., Krumsiek, J., Galindo‐Prieto, B., Ming, C., Nho, K., et al. (2022) · Alzheimer's & Dementia

Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research

Cited by 175

The landscape of multiscale transcriptomic networks and key regulators in Parkinson’s disease

Wang, Q., Zhang, Y., Wang, M., Song, W.-M., Shen, Q., McKenzie, A., Choi, I., Zhou, X., Pan, P.-Y., Yue, Z., et al. (2019) · Nature Communications

Parkinson's Disease Mechanisms and TreatmentsBioinformatics and Genomic Networks

Cited by 121

The landscape of human tissue and cell type specific expression and co-regulation of senescence genes

Xu, P., Wang, M., Song, W.-M., Wang, Q., Yuan, G.-C., Sudmant, P. H., Zare, H., Tu, Z., Orr, M. E., & Zhang, B. (2022) · Molecular Neurodegeneration

Telomeres, Telomerase, and SenescenceGenetics, Aging, and Longevity in Model Organisms

Cited by 114

Integrin alpha 11 in the regulation of the myofibroblast phenotype: implications for fibrotic diseases

Bansal, R., Nakagawa, S., Yazdani, S., van Baarlen, J., Venkatesh, A., Koh, A. P., Song, W.-M., Goossens, N., Watanabe, H., Beasley, M. B., et al. (2017) · Experimental & Molecular Medicine

Liver physiology and pathologyCell Adhesion Molecules Research

Cited by 96

Culture shock: microglial heterogeneity, activation, and disrupted single-cell microglial networks in vitro

Cadiz, M. P., Jensen, T. D., Sens, J. P., Zhu, K., Song, W.-M., Zhang, B., Ebbert, M., Chang, R., & Fryer, J. D. (2022) · Molecular Neurodegeneration

Neuroinflammation and Neurodegeneration MechanismsSingle-cell and spatial transcriptomics

Cited by 73

Network models of primary melanoma microenvironments identify key melanoma regulators underlying prognosis

Song, W.-M., Agrawal, P., Von Itter, R., Fontanals-Cirera, B., Wang, M., Zhou, X., Mahal, L. K., Hernando, E., & Zhang, B. (2021) · Nature Communications

Bioinformatics and Genomic NetworksCutaneous Melanoma Detection and Management

Cited by 62

Discover the network mechanisms underlying the connections between aging and age-related diseases

Yang, J., Huang, T., Song, W.-M., Petralia, F., Mobbs, C. V., Zhang, B., Zhao, Y., Schadt, E. E., Zhu, J., & Tu, Z. (2016) · Scientific Reports

Bioinformatics and Genomic NetworksGenetics, Aging, and Longevity in Model Organisms

Cited by 46

Molecular Networks and Key Regulators of the Dysregulated Neuronal System in Alzheimer’s Disease

Wang, M., Li, A., Sekiya, M., Beckmann, N. D., Quan, X., Schrode, N., Fernando, M. B., Yu, A., Zhu, L., Cao, J., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory)

Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research

Cited by 6