M Snyder
Impact in
- Molecular Biology top 0.01%
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- Fungal and yeast genetics research
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- Genomics and Phylogenetic Studies
- Bioinformatics and Genomic Networks
- Aging top 0.1%
Papers in
-
- Fungal and yeast genetics research 108
- Genomics and Chromatin Dynamics 103
- RNA Research and Splicing 75
- RNA and protein synthesis mechanisms 74
- Gene expression and cancer classification 68
- Bioinformatics and Genomic Networks 61
- Genomics and Phylogenetic Studies 55
- RNA modifications and cancer 48
- Genetics 98
- Co-authors
- Mark Gerstein (105 shared papers)Zhong Wang (3 shared papers)Heng Zhu (14 shared papers)Konrad J. Karczewski (11 shared papers)Joel Rozowsky (31 shared papers)Alexander E. Urban (20 shared papers)Ghia Euskirchen (28 shared papers)Sherman M. Weissman (38 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (38 papers)Genome Research (36 papers)Genes & Development (22 papers)Nature Communications (18 papers)PLoS Genetics (17 papers)
- Partner nations
- United StatesChinaFrance
In The Last Decade
M Snyder
842 papers receiving 79.5k citations
M Snyder's Hit Papers
Peers
Comparison fields: 5 of 230
- Molecular Biology 53.6k
- Aging 1.1k
- Cancer Research 7.8k
- Genetics 9.8k
- Cell Biology 5.3k
Countries citing papers authored by M Snyder
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
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-authors
The 25 scholars most cited alongside M Snyder, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 861 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | RNA-Seq: a revolutionary tool for transcriptomics Hit paper breakdown → | 2008 | 9128 |
| 2 | The Transcriptional Landscape of the Yeast Genome Defined by RNA Sequencing Hit paper breakdown → | 2008 | 1826 |
| 3 | Annotation of functional variation in personal genomes using RegulomeDB Hit paper breakdown → | 2012 | 1735 |
| 4 | Single-cell chromatin accessibility reveals principles of regulatory variation Hit paper breakdown → | 2015 | 1505 |
| 5 | Global Analysis of Protein Activities Using Proteome Chips Hit paper breakdown → | 2001 | 1502 |
| 6 | CNVnator: An approach to discover, genotype, and characterize typical and atypical CNVs from family and population genome sequencing Hit paper breakdown → | 2011 | 1080 |
| 7 | Genome-wide profiles of STAT1 DNA association using chromatin immunoprecipitation and massively parallel sequencing Hit paper breakdown → | 2007 | 1024 |
| 8 | A Bayesian Networks Approach for Predicting Protein-Protein Interactions from Genomic Data Hit paper breakdown → | 2003 | 918 |
| 9 | High-Throughput Sequencing Technologies Hit paper breakdown → | 2015 | 874 |
| 10 | Genomic binding sites of the yeast cell-cycle transcription factors SBF and MBF Hit paper breakdown → | 2001 | 841 |
| 11 | Global Identification of Human Transcribed Sequences with Genome Tiling Arrays Hit paper breakdown → | 2004 | 805 |
| 12 | Protein chip technology Hit paper breakdown → | 2003 | 696 |
| 13 | Predicting non-small cell lung cancer prognosis by fully automated microscopic pathology image features Hit paper breakdown → | 2016 | 692 |
| 14 | Integrative omics for health and disease Hit paper breakdown → | 2018 | 691 |
| 15 | Genomic analysis of regulatory network dynamics reveals large topological changes Hit paper breakdown → | 2004 | 687 |
| 16 | HTRA1 Promoter Polymorphism in Wet Age-Related Macular Degeneration Hit paper breakdown → | 2006 | 673 |
| 17 | Lineage-specific and single-cell chromatin accessibility charts human hematopoiesis and leukemia evolution Hit paper breakdown → | 2016 | 671 |
| 18 | Analysis of yeast protein kinases using protein chips Hit paper breakdown → | 2000 | 612 |
| 19 | Unlocking the secrets of the genome Hit paper breakdown → | 2009 | 610 |
| 20 | Subcellular localization of the yeast proteome Hit paper breakdown → | 2002 | 598 |
About M Snyder
M Snyder is a scholar working on Molecular Biology, Genetics, Plant Science, Cancer Research and Cell Biology, having authored 861 papers that have together received 81.0k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (108 papers), Genomics and Chromatin Dynamics (103 papers), RNA Research and Splicing (75 papers), RNA and protein synthesis mechanisms (74 papers), Gene expression and cancer classification (68 papers), Bioinformatics and Genomic Networks (61 papers), Genomics and Phylogenetic Studies (55 papers) and RNA modifications and cancer (48 papers). The work is most often cited by research in Molecular Biology (53.6k citations), Aging (1.1k citations), Cancer Research (7.8k citations), Genetics (9.8k citations) and Cell Biology (5.3k citations). M Snyder has collaborated with scholars based in United States, China and France. Frequent 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. Their work appears in journals such as Proceedings of the National Academy of Sciences, Genome Research, Genes & Development, Nature Communications and PLoS Genetics.
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.