Matthew Stephens
- Genetics top 0.01%
- Genetic Mapping and Diversity in Plants and Animals 41
- Genetic Associations and Epidemiology 37
- Genetic and phenotypic traits in livestock 35
- Genetic diversity and population structure 15
- Evolution and Genetic Dynamics 11
- Ecological Modeling top 0.1%
- Nature and Landscape Conservation top 0.05%
- Ecology top 0.02%
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- Gene expression and cancer classification 23
- Genomics and Chromatin Dynamics 16
- RNA Research and Splicing 11
- Co-authors
- Jonathan K. PritchardPeter DonnellyDaniel FalushNicholas SmithXiang ZhouPaul ScheetYoav GiladMelissa J. Hubisz
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Matthew Stephens
129 papers receiving 73.2k citations
Hit Papers
Peers
Comparison fields: 5 of 220
- Genetics 43.7k
- Ecological Modeling 2.7k
- Nature and Landscape Conservation 6.8k
- Ecology, Evolution, Behavior and Systematics 9.2k
- Ecology 12.0k
Countries citing papers authored by Matthew Stephens
This map shows the geographic impact of Matthew Stephens'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 Matthew Stephens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Stephens more than expected).
Fields of papers citing papers by Matthew Stephens
This network shows the impact of papers produced by Matthew Stephens. 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 Matthew Stephens. The network helps show where Matthew Stephens may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matthew Stephens, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Fine-mapping from summary data with the “Sum of Single Effects” modelbreakdown → | 2022 | 109 |
| 2 | 2021 | 29 | |
| 3 | Empirical Bayes Matrix Factorization | 2021 | 7 |
| 4 | Flexible Signal Denoising via Flexible Empirical Bayes Shrinkage | 2021 | 1 |
| 5 | A Simple New Approach to Variable Selection in Regression, with Application to Genetic Fine Mappingbreakdown → | 2020 | 371 |
| 6 | 2020 | 136 | |
| 7 | 2019 | 44 | |
| 8 | 2018 | 122 | |
| 9 | 2018 | 37 | |
| 10 | 2018 | 4 | |
| 11 | 2018 | 184 | |
| 12 | 2018 | 17 | |
| 13 | 2016 | 6 | |
| 14 | 2016 | 109 | |
| 15 | fastSTRUCTURE: Variational Inference of Population Structure in Large SNP Data Setsbreakdown → | 2014 | 1149 |
| 16 | 2014 | 53 | |
| 17 | 2011 | 102 | |
| 18 | 2008 | 118 | |
| 19 | Traces of Human Migrations in Helicobacter pylori Populationsbreakdown → | 2003 | 742 |
| 20 | Inference of population structure using multilocus genotype data: linked loci and correlated allele frequencies. | 2003 | 6 |
About Matthew Stephens
Matthew Stephens is a scholar working on Genetics, Molecular Biology and Statistics and Probability, having authored 132 papers that have together received 75.0k indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (41 papers), Genetic Associations and Epidemiology (37 papers), Genetic and phenotypic traits in livestock (35 papers), Gene expression and cancer classification (23 papers), Genomics and Chromatin Dynamics (16 papers), Genetic diversity and population structure (15 papers), Evolution and Genetic Dynamics (11 papers) and RNA Research and Splicing (11 papers). The work is most often cited by research in Genetics (43.7k citations), Ecological Modeling (2.7k citations) and Nature and Landscape Conservation (6.8k citations). Matthew Stephens has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Jonathan K. Pritchard, Peter Donnelly, Daniel Falush, Nicholas Smith, Xiang Zhou, Paul Scheet, Yoav Gilad, Melissa J. Hubisz, John C. Marioni and Peter Carbonetto. Their work appears in journals such as PLoS Genetics, Nature Genetics, PLoS ONE, The American Journal of Human Genetics and 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.