David Altshuler
- Genetics top 0.01%
- Genetic Associations and Epidemiology 67
- Genomics and Rare Diseases 22
- Genomic variations and chromosomal abnormalities 19
- Genetic Mapping and Diversity in Plants and Animals 17
- Cancer Research top 0.05%
- Molecular Biology top 0.02%
- Metabolism, Diabetes, and Cancer 17
- Peroxisome Proliferator-Activated Receptors 10
- Immunology top 0.5%
- Plant Science top 0.1%
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- Pancreatic function and diabetes 14
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- Diabetes Treatment and Management 11
David Altshuler
147 papers receiving 62.8k citations
Hit Papers
Peers
Comparison fields: 5 of 211
- Genetics 30.5k
- Cancer Research 7.1k
- Molecular Biology 29.7k
- Immunology 4.3k
- Plant Science 7.1k
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2026 | 0 | |
| 2 | 2022 | 1 | |
| 3 | 2019 | 4 | |
| 4 | 2017 | 13 | |
| 5 | 2013 | 110 | |
| 6 | 2012 | 2 | |
| 7 | 2012 | 0 | |
| 8 | 2010 | 253 | |
| 9 | 2010 | 19 | |
| 10 | The Genome Analysis Toolkit: A MapReduce framework for analyzing next-generation DNA sequencing databreakdown → | 2010 | 17384 |
| 11 | 2008 | 164 | |
| 12 | 2008 | 494 | |
| 13 | 2008 | 301 | |
| 14 | 2007 | 130 | |
| 15 | Copy number variation: New insights in genome diversitybreakdown → | 2006 | 592 |
| 16 | 2005 | 280 | |
| 17 | 2005 | 5 | |
| 18 | The Case for Selection at CCR5-Δ32 | 2005 | 11 |
| 19 | 2002 | 226 | |
| 20 | 1999 | 4 |
About David Altshuler
David Altshuler is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism and Molecular Biology, having authored 150 papers that have together received 63.8k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (67 papers), Genomics and Rare Diseases (22 papers), Genomic variations and chromosomal abnormalities (19 papers), Metabolism, Diabetes, and Cancer (17 papers), Genetic Mapping and Diversity in Plants and Animals (17 papers), Pancreatic function and diabetes (14 papers), Diabetes Treatment and Management (11 papers) and Peroxisome Proliferator-Activated Receptors (10 papers). The work is most often cited by research in Genetics (30.5k citations), Cancer Research (7.1k citations) and Molecular Biology (29.7k 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, Mark A. DePristo, Kiran Garimella, Andrew Kernytsky, Aaron McKenna, Kristian Cibulskis, Andrey Sivachenko and Matthew G. Hanna. Their work appears in journals such as Nature Genetics, Diabetes, The American Journal of Human Genetics, PLoS Genetics and Nature.
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.