Snyder, Michael

Improvement in Glucose Regulation Using a Digital Tracker and Continuous Glucose Monitoring in Healthy Adults and Those with Type 2 Diabetes

Dehghani Zahedani, A., Shariat Torbaghan, S., Rahili, S., Karlin, K., Scilley, D., Thakkar, R., Saberi, M., Hashemi, N., Perelman, D., Aghaeepour, N., et al. (2021) · Diabetes Therapy

Diabetes Management and ResearchDiabetes Treatment and Management

Cited by 62

Cell-free DNA (cfDNA) and Exosome Profiling from a Year-Long Human Spaceflight Reveals Circulating Biomarkers

Bezdan, D., Grigorev, K., Meydan, C., Pelissier Vatter, F. A., Cioffi, M., Rao, V., MacKay, M., Nakahira, K., Burnham, P., Afshinnekoo, E., et al. (2020) · iScience

Spaceflight effects on biologyExtracellular vesicles in disease

Cited by 59

A Large Gene Network in Immature Erythroid Cells Is Controlled by the Myeloid and B Cell Transcriptional Regulator PU.1

Wontakal, S. N., Guo, X., Will, B., Shi, M., Raha, D., Mahajan, M. C., Weissman, S., Snyder, M., Steidl, U., Zheng, D., et al. (2011) · PLoS Genetics

Hematopoietic Stem Cell TransplantationGenomics and Chromatin Dynamics

Cited by 53

Individual variations in glycemic responses to carbohydrates and underlying metabolic physiology

Wu, Y., Ehlert, B., Metwally, A. A., Perelman, D., Park, H., Brooks, A. W., Abbasi, F., Michael, B., Celli, A., Bejikian, C., et al. (2025) · Nature Medicine

Food composition and propertiesDiet, Metabolism, and Disease

Cited by 48

Personal phenotypes to go with personal genomes

Snyder, M., Weissman, S., & Gerstein, M. (2009) · Molecular Systems Biology

Bioinformatics and Genomic NetworksHealth, Environment, Cognitive Aging

Cited by 46

Impact of digital health interventions on glycemic control and weight management.

Veluvali, A., Dehghani Zahedani, A., Hosseinian, A., Aghaeepour, N., McLaughlin, T., Woodward, M., DiTullio, A., Hashemi, N., & Snyder, M. P. (2025) · npj Digital Medicine

Mobile Health and mHealth ApplicationsDiabetes Management and Research

Cited by 45

Progress on Identifying and Characterizing the Human Proteome: 2019 Metrics from the HUPO Human Proteome Project

Omenn, G. S., Lane, L., Overall, C. M., Corrales, F. J., Schwenk, J. M., Paik, Y.-K., Van Eyk, J. E., Liu, S., Pennington, S., Snyder, M. P., et al. (2019) · Journal of Proteome Research

Advanced Proteomics Techniques and ApplicationsBioinformatics and Genomic Networks

Cited by 40

Network biology bridges the gaps between quantitative genetics and multi-omics to map complex diseases

Wu, S., Chen, D., & Snyder, M. P. (2022) · Current Opinion in Chemical Biology

Bioinformatics and Genomic NetworksGene Regulatory Network Analysis

Cited by 25

Single-cell proteomic landscape of the developing human brain

Wu, T., Jiang, L., Mukhtar, T., Wang, L., Jian, R., Wang, C., Trinh, T., Kriegstein, A. R., Snyder, M., & Li, J. (2026) · Nature Biotechnology

Advanced Proteomics Techniques and ApplicationsSingle-cell and spatial transcriptomics

Cited by 23

Single Cell Proteomics in the Developing Human Brain

Wu, T., Jiang, L., Mukhtar, T., Wang, L., Jian, R., Wang, C., Trinh, T., Kriegstein, A. R., Snyder, M., & Li, J. (2025) · Nature Biotechnology

Advanced Proteomics Techniques and ApplicationsSingle-cell and spatial transcriptomics

Cited by 23

Positional artifacts in microarrays: experimental verification and construction of COP, an automated detection tool

Yu, H., Nguyen, K., Royce, T., Qian, J., Nelson, K., Snyder, M., & Gerstein, M. (2006) · Nucleic Acids Research

Gene expression and cancer classificationBioinformatics and Genomic Networks

Cited by 13

Rnnotator: an automated de novo transcriptome assembly pipeline from stranded RNA-Seq reads

Martin, J., Bruno, V. M., Fang, Z., Meng, X., Blow, M., Zhang, T., Sherlock, G., Snyder, M., & Wang, Z. (2010) · BMC Genomics

Genomics and Phylogenetic StudiesRNA Research and Splicing

Cited by 0