David Altshuler
Impact in
- Genetics top 0.01%
- Genetic Associations and Epidemiology
- Genetic Mapping and Diversity in Plants and Animals
- Genomics and Rare Diseases
- Genomic variations and chromosomal abnormalities
- Genetic and phenotypic traits in livestock
- Genetic diversity and population structure
- Cancer Research top 0.05%
- Cancer Genomics and Diagnostics
Papers in
- Genetics 85
- Genetic Associations and Epidemiology 62
- Genomics and Rare Diseases 23
- Genomic variations and chromosomal abnormalities 20
- Genetic Mapping and Diversity in Plants and Animals 16
- Genetic and phenotypic traits in livestock 8
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- Metabolism, Diabetes, and Cancer 9
- Peroxisome Proliferator-Activated Receptors 9
- Co-authors
- Mark J. Daly (49 shared papers)Stacey Gabriel (14 shared papers)Eric Banks (5 shared papers)Kiran Garimella (3 shared papers)Mark A. DePristo (3 shared papers)Aaron McKenna (2 shared papers)Andrew Kernytsky (2 shared papers)Andrey Sivachenko (2 shared papers)
- Journals
- Nature Genetics (26 papers)Diabetes (18 papers)The American Journal of Human Genetics (12 papers)PLoS Genetics (8 papers)New England Journal of Medicine (5 papers)
- Partner nations
- United StatesSwedenCanada
In The Last Decade
David Altshuler
152 papers receiving 65.2k citations
David Altshuler's Hit Papers
Peers
Comparison fields: 5 of 209
- Genetics 28.3k
- Cancer Research 5.8k
- Molecular Biology 26.1k
- Immunology 3.6k
- Plant Science 6.6k
Countries citing papers authored by David Altshuler
This map shows the geographic impact of David Altshuler'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 David Altshuler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Altshuler more than expected).
Fields of papers citing papers by David Altshuler
This network shows the impact of papers produced by David Altshuler. 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 David Altshuler. The network helps show where David Altshuler may publish in the future.
Co-authors
The 25 scholars most cited alongside David Altshuler, 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 155 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The Genome Analysis Toolkit: A MapReduce framework for analyzing next-generation DNA sequencing data Hit paper breakdown → | 2010 | 18056 |
| 2 | A framework for variation discovery and genotyping using next-generation DNA sequencing data Hit paper breakdown → | 2011 | 7482 |
| 3 | The Structure of Haplotype Blocks in the Human Genome Hit paper breakdown → | 2002 | 4681 |
| 4 | From FastQ Data to High‐Confidence Variant Calls: The Genome Analysis Toolkit Best Practices Pipeline Hit paper breakdown → | 2013 | 4378 |
| 5 | Detecting recent positive selection in the human genome from haplotype structure Hit paper breakdown → | 2002 | 1532 |
| 6 | Efficiency and power in genetic association studies Hit paper breakdown → | 2005 | 1418 |
| 7 | The common PPARγ Pro12Ala polymorphism is associated with decreased risk of type 2 diabetes Hit paper breakdown → | 2000 | 1392 |
| 8 | Characterization of single-nucleotide polymorphisms in coding regions of human genes Hit paper breakdown → | 1999 | 1332 |
| 9 | Association between Microdeletion and Microduplication at 16p11.2 and Autism Hit paper breakdown → | 2008 | 1197 |
| 10 | Genetic Mapping in Human Disease Hit paper breakdown → | 2008 | 1020 |
| 11 | Positive Natural Selection in the Human Lineage Hit paper breakdown → | 2006 | 864 |
| 12 | The Lin28/let-7 Axis Regulates Glucose Metabolism Hit paper breakdown → | 2011 | 748 |
| 13 | Clinical Risk Factors, DNA Variants, and the Development of Type 2 Diabetes Hit paper breakdown → | 2008 | 696 |
| 14 | Analysis of 6,515 exomes reveals the recent origin of most human protein-coding variants Hit paper breakdown → | 2012 | 668 |
| 15 | TCF7L2 Polymorphisms and Progression to Diabetes in the Diabetes Prevention Program Hit paper breakdown → | 2006 | 668 |
| 16 | Copy number variation: New insights in genome diversity Hit paper breakdown → | 2006 | 636 |
| 17 | Errα and Gabpa/b specify PGC-1α-dependent oxidative phosphorylation gene expression that is altered in diabetic muscle Hit paper breakdown → | 2004 | 590 |
| 18 | An SNP map of the human genome generated by reduced representation shotgun sequencing Hit paper breakdown → | 2000 | 583 |
| 19 | Assessing the impact of population stratification on genetic association studies Hit paper breakdown → | 2004 | 570 |
| 20 | Common deletion polymorphisms in the human genome Hit paper breakdown → | 2005 | 554 |
About David Altshuler
David Altshuler is a scholar working on Genetics, Molecular Biology, Surgery, Endocrinology, Diabetes and Metabolism and Immunology, having authored 155 papers that have together received 66.7k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (62 papers), Genomics and Rare Diseases (23 papers), Genomic variations and chromosomal abnormalities (20 papers), Genetic Mapping and Diversity in Plants and Animals (16 papers), Pancreatic function and diabetes (11 papers), Metabolism, Diabetes, and Cancer (9 papers), Peroxisome Proliferator-Activated Receptors (9 papers) and Genetic and phenotypic traits in livestock (8 papers). The work is most often cited by research in Genetics (28.3k citations), Cancer Research (5.8k citations), Molecular Biology (26.1k citations), Immunology (3.6k citations) and Plant Science (6.6k citations). David Altshuler has collaborated with scholars based in United States, Sweden and Canada. Frequent co-authors include Mark J. Daly, Stacey Gabriel, Eric Banks, Kiran Garimella, Mark A. DePristo, Aaron McKenna, Andrew Kernytsky, Andrey Sivachenko, Kristian Cibulskis and Matthew G. Hanna. Their work appears in journals such as Nature Genetics, Diabetes, The American Journal of Human Genetics, PLoS Genetics and New England Journal of Medicine.
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.