Michael Snyder
Impact in
- Molecular Biology top 0.01%
- Genomics and Chromatin Dynamics
- Genomics and Phylogenetic Studies
- Bioinformatics and Genomic Networks
- Fungal and yeast genetics research
- Epigenetics and DNA Methylation
- Aging top 0.05%
Papers in
-
- Genomics and Chromatin Dynamics 134
- Genomics and Phylogenetic Studies 78
- Fungal and yeast genetics research 77
- Bioinformatics and Genomic Networks 58
- Metabolomics and Mass Spectrometry Studies 39
- Advanced Biosensing Techniques and Applications 31
- Genetics 141
- Genetic Associations and Epidemiology 54
- Co-authors
- Mark Gerstein (82 shared papers)Zhong Wang (4 shared papers)Heng Zhu (13 shared papers)Konrad J. Karczewski (11 shared papers)Joel S. Rozowsky (24 shared papers)Damek V. Spacek (9 shared papers)Ghia M. Euskirchen (23 shared papers)Debasish Raha (12 shared papers)
- Journals
- Nature (48 papers)Proceedings of the National Academy of Sciences (40 papers)Nature Communications (32 papers)Cell (31 papers)Science (29 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Michael Snyder
879 papers receiving 137.2k citations
Michael Snyder's Hit Papers
Peers
Comparison fields: 5 of 225
- Molecular Biology 73.2k
- Aging 1.6k
- Genetics 21.1k
- Cancer Research 9k
- Cell Biology 4.5k
Countries citing papers authored by Michael Snyder
This map shows the geographic impact of Michael 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 Michael Snyder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Snyder more than expected).
Fields of papers citing papers by Michael Snyder
This network shows the impact of papers produced by Michael 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 Michael Snyder. The network helps show where Michael Snyder may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael 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 909 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | An integrated encyclopedia of DNA elements in the human genome Hit paper breakdown → | 2012 | 13503 |
| 2 | RNA-Seq: a revolutionary tool for transcriptomics Hit paper breakdown → | 2008 | 9986 |
| 3 | Identification and analysis of functional elements in 1% of the human genome by the ENCODE pilot project Hit paper breakdown → | 2007 | 4026 |
| 4 | Functional profiling of the Saccharomyces cerevisiae genome Hit paper breakdown → | 2002 | 3428 |
| 5 | Functional Characterization of the S. cerevisiae Genome by Gene Deletion and Parallel Analysis Hit paper breakdown → | 1999 | 3285 |
| 6 | The GTEx Consortium atlas of genetic regulatory effects across human tissues Hit paper breakdown → | 2020 | 3187 |
| 7 | Genetic effects on gene expression across human tissues Hit paper breakdown → | 2017 | 2894 |
| 8 | The Transcriptional Landscape of the Yeast Genome Defined by RNA Sequencing Hit paper breakdown → | 2008 | 1893 |
| 9 | Single-cell chromatin accessibility reveals principles of regulatory variation Hit paper breakdown → | 2015 | 1661 |
| 10 | Global Analysis of Protein Activities Using Proteome Chips Hit paper breakdown → | 2001 | 1627 |
| 11 | Expanded encyclopaedias of DNA elements in the human and mouse genomes Hit paper breakdown → | 2020 | 1438 |
| 12 | Sequencing of 53,831 diverse genomes from the NHLBI TOPMed Program Hit paper breakdown → | 2021 | 1363 |
| 13 | A comparative encyclopedia of DNA elements in the mouse genome Hit paper breakdown → | 2014 | 1294 |
| 14 | Architecture of the human regulatory network derived from ENCODE data Hit paper breakdown → | 2012 | 1137 |
| 15 | High-Quality Binary Protein Interaction Map of the Yeast Interactome Network Hit paper breakdown → | 2008 | 1133 |
| 16 | Genome-wide profiles of STAT1 DNA association using chromatin immunoprecipitation and massively parallel sequencing Hit paper breakdown → | 2007 | 1067 |
| 17 | Personal Omics Profiling Reveals Dynamic Molecular and Medical Phenotypes Hit paper breakdown → | 2012 | 1022 |
| 18 | The Integrative Human Microbiome Project Hit paper breakdown → | 2019 | 997 |
| 19 | High-Throughput Sequencing Technologies Hit paper breakdown → | 2015 | 985 |
| 20 | A Bayesian Networks Approach for Predicting Protein-Protein Interactions from Genomic Data Hit paper breakdown → | 2003 | 983 |
About Michael Snyder
Michael Snyder is a scholar working on Molecular Biology, Genetics, Spectroscopy, Cell Biology and Health, Toxicology and Mutagenesis, having authored 909 papers that have together received 140.1k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (134 papers), Genomics and Phylogenetic Studies (78 papers), Fungal and yeast genetics research (77 papers), Bioinformatics and Genomic Networks (58 papers), Genetic Associations and Epidemiology (54 papers), Advanced Proteomics Techniques and Applications (45 papers), Metabolomics and Mass Spectrometry Studies (39 papers) and Advanced Biosensing Techniques and Applications (31 papers). The work is most often cited by research in Molecular Biology (73.2k citations), Aging (1.6k citations), Genetics (21.1k citations), Cancer Research (9k citations) and Cell Biology (4.5k citations). Michael Snyder has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Mark Gerstein, Zhong Wang, Heng Zhu, Konrad J. Karczewski, Joel S. Rozowsky, Damek V. Spacek, Ghia M. Euskirchen, Debasish Raha, Jason Reuter and Howard Y. Chang. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences, Nature Communications, Cell and Science.
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.