M Snyder

199.9k total citations · 32 hit papers
913 papers, 82.4k citations indexed

About

M Snyder is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, M Snyder has authored 913 papers receiving a total of 82.4k indexed citations (citations by other indexed papers that have themselves been cited), including 590 papers in Molecular Biology, 110 papers in Genetics and 75 papers in Cancer Research. Recurrent topics in M Snyder's work include Fungal and yeast genetics research (114 papers), Genomics and Chromatin Dynamics (114 papers) and RNA and protein synthesis mechanisms (82 papers). M Snyder is often cited by papers focused on Fungal and yeast genetics research (114 papers), Genomics and Chromatin Dynamics (114 papers) and RNA and protein synthesis mechanisms (82 papers). M Snyder collaborates with scholars based in United States, China and France. M Snyder's co-authors include Mark Gerstein, Zhong Wang, Heng Zhu, Konrad J. Karczewski, Joel Rozowsky, Alexander E. Urban, Ghia Euskirchen, Sherman M. Weissman, Paul Bertone and Debasish Raha and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

M Snyder

889 papers receiving 80.8k citations

Hit Papers

RNA-Seq: a revolutionary tool for transcriptomics 2000 2026 2008 2017 2008 2008 2012 2001 2015 2.5k 5.0k 7.5k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. RNA-Seq: a revolutionary tool for transcriptomics
    2008 9.0k citations Mark Gerstein, M Snyder et al. profile →
  2. The Transcriptional Landscape of the Yeast Genome Defined by RNA Sequencing
    2008 1.8k citations Debasish Raha, Mark Gerstein et al. profile →
  3. Annotation of functional variation in personal genomes using RegulomeDB
    2012 1.7k citations M Snyder et al. profile →
  4. Global Analysis of Protein Activities Using Proteome Chips
    2001 1.5k citations Mark Gerstein, M Snyder et al. profile →
  5. Single-cell chromatin accessibility reveals principles of regulatory variation
    2015 1.5k citations M Snyder, Howard Y. Chang et al. profile →
  6. CNVnator: An approach to discover, genotype, and characterize typical and atypical CNVs from family and population genome sequencing
    2011 1.1k citations M Snyder, Mark Gerstein et al. profile →
  7. Genome-wide profiles of STAT1 DNA association using chromatin immunoprecipitation and massively parallel sequencing
    2007 1.0k citations M Snyder et al. profile →
  8. A Bayesian Networks Approach for Predicting Protein-Protein Interactions from Genomic Data
    2003 916 citations M Snyder, Mark Gerstein et al. profile →
  9. High-Throughput Sequencing Technologies
    2015 849 citations M Snyder et al. profile →
  10. Genomic binding sites of the yeast cell-cycle transcription factors SBF and MBF
    2001 841 citations M Snyder et al. profile →
  11. Global Identification of Human Transcribed Sequences with Genome Tiling Arrays
    2004 803 citations Sherman M. Weissman, Mark Gerstein et al. profile →
  12. Protein chip technology
    2003 694 citations M Snyder et al. profile →
  13. Genomic analysis of regulatory network dynamics reveals large topological changes
    2004 680 citations M Snyder, Mark Gerstein et al. profile →
  14. Predicting non-small cell lung cancer prognosis by fully automated microscopic pathology image features
    2016 680 citations M Snyder et al. profile →
  15. HTRA1 Promoter Polymorphism in Wet Age-Related Macular Degeneration
    2006 671 citations M Snyder et al. profile →
  16. Integrative omics for health and disease
    2018 666 citations M Snyder et al. profile →
  17. Lineage-specific and single-cell chromatin accessibility charts human hematopoiesis and leukemia evolution
    2016 656 citations M Snyder, Howard Y. Chang et al. profile →
  18. Analysis of yeast protein kinases using protein chips
    2000 612 citations Mark Gerstein, M Snyder et al. profile →
  19. Unlocking the secrets of the genome
    2009 609 citations Mark Gerstein, M Snyder et al. profile →
  20. Subcellular localization of the yeast proteome
    2002 597 citations Mark Gerstein, M Snyder et al. profile →
  21. Sequence features and chromatin structure around the genomic regions bound by 119 human transcription factors
    2012 590 citations M Snyder et al. profile →
  22. Linking disease associations with regulatory information in the human genome
    2012 518 citations Serafim Batzoglou, M Snyder et al. profile →
  23. Mapping Pathways and Phenotypes by Systematic Gene Overexpression
    2006 508 citations M Snyder et al. profile →
  24. Wearables and the Medical Revolution
    2018 381 citations M Snyder et al. profile →
  25. A proposal for validation of antibodies
    2016 357 citations Mathias Uhlén, M Snyder et al. profile →
  26. Structured elements drive extensive circular RNA translation
    2021 197 citations M Snyder, Howard Y. Chang et al. profile →
  27. Multi-Omics Profiling for Health
    2023 162 citations M Snyder et al. profile →
  28. Single-cell analyses define a continuum of cell state and composition changes in the malignant transformation of polyps to colorectal cancer
    2022 154 citations Hassan Chaı̈b, M Snyder et al. profile →
  29. Nonlinear dynamics of multi-omics profiles during human aging
    2024 141 citations Xiaotao Shen, Chuchu Wang et al. profile →
  30. Dynamic lipidome alterations associated with human health, disease and ageing
    2023 111 citations Si Wu, Xin Zhou et al. profile →
  31. Short-chain fatty acid metabolites propionate and butyrate are unique epigenetic regulatory elements linking diet, metabolism and gene expression
    2025 42 citations Faye Chleilat, Samuel M. Lancaster et al. profile →
  32. Advancing translational exposomics: bridging genome, exposome and personalized medicine
    2025 14 citations M Snyder et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
M Snyder United States 141 58.7k 11.0k 9.5k 9.0k 5.7k 913 82.4k
Minoru Kanehisa Japan 75 76.3k 1.3× 10.1k 0.9× 14.1k 1.5× 12.2k 1.3× 3.7k 0.6× 266 114.1k
Yoav Benjamini Israel 44 30.6k 0.5× 12.5k 1.1× 8.2k 0.9× 5.4k 0.6× 2.3k 0.4× 144 101.1k
John R. Yates United States 161 78.4k 1.3× 7.2k 0.7× 7.6k 0.8× 5.5k 0.6× 17.4k 3.0× 995 108.9k
Ruedi Aebersold Switzerland 160 86.7k 1.5× 6.4k 0.6× 4.2k 0.4× 5.6k 0.6× 9.8k 1.7× 783 117.7k
Peer Bork Germany 151 97.1k 1.7× 15.3k 1.4× 18.8k 2.0× 9.5k 1.1× 8.4k 1.5× 524 145.9k
Mark Gerstein United States 123 48.2k 0.8× 8.6k 0.8× 6.9k 0.7× 7.8k 0.9× 2.5k 0.4× 558 61.8k
George M. Church United States 148 73.6k 1.3× 15.9k 1.4× 7.3k 0.8× 4.0k 0.4× 2.3k 0.4× 527 90.9k
Lars Juhl Jensen Denmark 87 49.7k 0.8× 6.5k 0.6× 5.9k 0.6× 8.2k 0.9× 3.9k 0.7× 240 75.4k
Patrick O. Brown United States 137 85.4k 1.5× 14.8k 1.3× 6.4k 0.7× 24.6k 2.7× 5.1k 0.9× 272 121.0k
Paul D. Adams United States 78 62.3k 1.1× 9.5k 0.9× 5.0k 0.5× 1.8k 0.2× 6.8k 1.2× 360 86.3k

Countries citing papers authored by M Snyder

Since Specialization
Citations

This map shows the geographic impact of M Snyder's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by M Snyder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M Snyder more than expected).

Fields of papers citing papers by M Snyder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M Snyder. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by M Snyder. The network helps show where M Snyder may publish in the future.

Co-authorship network of co-authors of M Snyder

This figure shows the co-authorship network connecting the top 25 collaborators of M Snyder. A scholar is included among the top collaborators of M Snyder based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M Snyder. M Snyder is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Jahanbani, Fereshteh, Nathan D. Jones, Holden T. Maecker, et al.. (2024). Longitudinal cytokine and multi-modal health data of an extremely severe ME/CFS patient with HSD reveals insights into immunopathology, and disease severity. Frontiers in Immunology. 15. 3 indexed citations
2.
Mengelkoch, Summer, Sophia Miryam Schüssler‐Fiorenza Rose, Jenna Alley, et al.. (2023). Multi-omics approaches in psychoneuroimmunology and health research: Conceptual considerations and methodological recommendations. Brain Behavior and Immunity. 114. 475–487. 15 indexed citations
3.
Yu, Min, Jiawen Yang, Shilun Yang, et al.. (2023). Integrative multi-omic profiling of adult mouse brain endothelial cells and potential implications in Alzheimer’s disease. Cell Reports. 42(11). 113392–113392. 19 indexed citations
4.
Cheng, Yiwen, Xia Liu, Benjamin Rolnik, et al.. (2023). The Roles and Mechanisms of Gut Microbiota in Food Allergy. 2023. 1–16. 12 indexed citations
5.
Snyder, M, et al.. (2022). Mutation, selection, and the prevalence of the Caenorhabditis elegans heat-sensitive mortal germline phenotype. G3 Genes Genomes Genetics. 12(5). 2 indexed citations
6.
Shen, Xiaotao, Wei Shao, Chuchu Wang, et al.. (2022). Deep learning-based pseudo-mass spectrometry imaging analysis for precision medicine. Briefings in Bioinformatics. 23(5). 9 indexed citations
7.
Shen, Xiaotao, Si Wu, Liang Liang, et al.. (2021). metID: an R package for automatable compound annotation for LC−MS-based data. Bioinformatics. 38(2). 568–569. 29 indexed citations
8.
Wang, Meng, et al.. (2021). AdaReg: data adaptive robust estimation in linear regression with application in GTEx gene expressions. Statistical Applications in Genetics and Molecular Biology. 20(2). 51–71. 1 indexed citations
9.
Arif, Muhammad, Cheng Zhang, Xiangyü Li, et al.. (2021). iNetModels 2.0: an interactive visualization and database of multi-omics data. Nucleic Acids Research. 49(W1). W271–W276. 29 indexed citations
10.
Liang, Liang, Marie-Louise Hee Rasmussen, Brian Piening, et al.. (2020). Metabolic Dynamics and Prediction of Gestational Age and Time to Delivery in Pregnant Women. Cell. 181(7). 1680–1692.e15. 191 indexed citations
11.
Nguyen, Lan Huong, Wenyu Zhou, Rahul Sinha, et al.. (2020). Chromosome-level de novo assembly of the pig-tailed macaque genome using linked-read sequencing and HiC proximity scaffolding. GigaScience. 9(7). 9 indexed citations
12.
Im, Hogune, Varsha Rao, Kunju Sridhar, et al.. (2018). Distinct transcriptomic and exomic abnormalities within myelodysplastic syndrome marrow cells. Leukemia & lymphoma. 59(12). 2952–2962. 9 indexed citations
13.
Tombácz, Dóra, Zoltán Maróti, Tibor Kalmár, et al.. (2017). High-Coverage Whole-Exome Sequencing Identifies Candidate Genes for Suicide in Victims with Major Depressive Disorder. Scientific Reports. 7(1). 7106–7106. 46 indexed citations
14.
Pan, Cuiping, Gregory McInnes, Nicole Deflaux, et al.. (2017). Cloud-based interactive analytics for terabytes of genomic variants data. Bioinformatics. 33(23). 3709–3715. 8 indexed citations
15.
Snyder, M, George I. Mias, Larissa Stanberry, & Eugene Kolker. (2013). Metadata Checklist for the Integrated Personal Omics Study: Proteomics and Metabolomics Experiments. Big Data. 1(4). 202–206. 5 indexed citations
16.
Wontakal, Sandeep N., Xingyi Guo, Cameron Smith, et al.. (2012). A core erythroid transcriptional network is repressed by a master regulator of myelo-lymphoid differentiation. Proceedings of the National Academy of Sciences. 109(10). 3832–3837. 59 indexed citations
17.
Wu, Jia Qian, Lukas Habegger, Parinya Noisa, et al.. (2010). Dynamic transcriptomes during neural differentiation of human embryonic stem cells revealed by short, long, and paired-end sequencing. Proceedings of the National Academy of Sciences. 107(11). 5254–5259. 150 indexed citations
18.
Gianoulis, Tara A., Jeroen Raes, Robert Bjornson, et al.. (2009). Quantifying environmental adaptation of metabolic pathways in metagenomics. Proceedings of the National Academy of Sciences. 106(5). 1374–1379. 139 indexed citations
19.
Srikantha, Thyagarajan, Anthony R. Borneman, Karla J. Daniels, et al.. (2006). TOS9 Regulates White-Opaque Switching in Candida albicans. Eukaryotic Cell. 5(10). 1674–1687. 177 indexed citations
20.
Lorenz, O. A., et al.. (1958). Potato fertilization and internal black spot in Santa Maria Valley: Deficiency of important nutrient found to exist in soils of many potato fields during survey and fertilizer experiments. California Agriculture. 12(6). 9–10. 2 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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