Matthew Stephens
Impact in
- Genetics top 0.01%
- Genetic diversity and population structure
- Genetic and phenotypic traits in livestock
- Genetic Mapping and Diversity in Plants and Animals
- Genetic Associations and Epidemiology
- Ecological Modeling top 0.1%
Papers in
- Genetics 77
- Genetic Mapping and Diversity in Plants and Animals 38
- Genetic Associations and Epidemiology 36
- Genetic and phenotypic traits in livestock 33
- Genetic diversity and population structure 15
- Evolution and Genetic Dynamics 10
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- Gene expression and cancer classification 22
- Genomics and Chromatin Dynamics 14
- RNA Research and Splicing 11
- Co-authors
- Jonathan K. Pritchard (22 shared papers)Peter Donnelly (8 shared papers)Daniel Falush (6 shared papers)Nicholas Smith (2 shared papers)Xiang Zhou (6 shared papers)Paul Scheet (4 shared papers)Yoav Gilad (19 shared papers)Melissa J. Hubisz (1 shared paper)
- Journals
- PLoS Genetics (19 papers)Nature Genetics (15 papers)PLoS ONE (9 papers)Genetics (8 papers)The American Journal of Human Genetics (8 papers)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Matthew Stephens
130 papers receiving 74.2k citations
Matthew Stephens's Hit Papers
Peers
Comparison fields: 5 of 218
- Genetics 41.5k
- Ecological Modeling 2.6k
- Nature and Landscape Conservation 6.6k
- Ecology 11.7k
- Ecology, Evolution, Behavior and Systematics 8.8k
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-authors
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
Showing the 20 most-cited of 133 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Inference of Population Structure Using Multilocus Genotype Data Hit paper breakdown → | 2000 | 27754 |
| 2 | Inference of Population Structure Using Multilocus Genotype Data: Linked Loci and Correlated Allele Frequencies Hit paper breakdown → | 2003 | 6617 |
| 3 | A New Statistical Method for Haplotype Reconstruction from Population Data Hit paper breakdown → | 2001 | 6434 |
| 4 | A Comparison of Bayesian Methods for Haplotype Reconstruction from Population Genotype Data Hit paper breakdown → | 2003 | 3068 |
| 5 | Inference of population structure using multilocus genotype data: dominant markers and null alleles Hit paper breakdown → | 2007 | 2873 |
| 6 | Inferring weak population structure with the assistance of sample group information Hit paper breakdown → | 2009 | 2803 |
| 7 | Genome-wide efficient mixed-model analysis for association studies Hit paper breakdown → | 2012 | 2220 |
| 8 | RNA-seq: An assessment of technical reproducibility and comparison with gene expression arrays Hit paper breakdown → | 2008 | 2087 |
| 9 | Association Mapping in Structured Populations Hit paper breakdown → | 2000 | 1533 |
| 10 | A Fast and Flexible Statistical Model for Large-Scale Population Genotype Data: Applications to Inferring Missing Genotypes and Haplotypic Phase Hit paper breakdown → | 2006 | 1454 |
| 11 | fastSTRUCTURE: Variational Inference of Population Structure in Large SNP Data Sets Hit paper breakdown → | 2014 | 1183 |
| 12 | Accounting for Decay of Linkage Disequilibrium in Haplotype Inference and Missing-Data Imputation Hit paper breakdown → | 2005 | 1133 |
| 13 | Fast and accurate genotype imputation in genome-wide association studies through pre-phasing Hit paper breakdown → | 2012 | 1006 |
| 14 | Understanding mechanisms underlying human gene expression variation with RNA sequencing Hit paper breakdown → | 2010 | 912 |
| 15 | Genes mirror geography within Europe Hit paper breakdown → | 2008 | 900 |
| 16 | Traces of Human Migrations in Helicobacter pylori Populations Hit paper breakdown → | 2003 | 746 |
| 17 | Modeling Linkage Disequilibrium and Identifying Recombination Hotspots Using Single-Nucleotide Polymorphism Data Hit paper breakdown → | 2003 | 703 |
| 18 | Dealing With Label Switching in Mixture Models Hit paper breakdown → | 2000 | 683 |
| 19 | Genotype Imputation with Thousands of Genomes Hit paper breakdown → | 2011 | 569 |
| 20 | Efficient multivariate linear mixed model algorithms for genome-wide association studies Hit paper breakdown → | 2014 | 565 |
About Matthew Stephens
Matthew Stephens is a scholar working on Genetics, Molecular Biology, Cancer Research, Plant Science and Artificial Intelligence, having authored 133 papers that have together received 75.9k indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (38 papers), Genetic Associations and Epidemiology (36 papers), Genetic and phenotypic traits in livestock (33 papers), Gene expression and cancer classification (22 papers), Genetic diversity and population structure (15 papers), Genomics and Chromatin Dynamics (14 papers), RNA Research and Splicing (11 papers) and Evolution and Genetic Dynamics (10 papers). The work is most often cited by research in Genetics (41.5k citations), Ecological Modeling (2.6k citations), Nature and Landscape Conservation (6.6k citations), Ecology (11.7k citations) and Ecology, Evolution, Behavior and Systematics (8.8k 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, Genetics and The American Journal of Human 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.