Alex Fraser
Impact in
- Rheumatology top 10%
- Spondyloarthritis Studies and Treatments
- Rheumatoid Arthritis Research and Therapies
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- Evolution and Genetic Dynamics
- Genetic diversity and population structure
Papers in
- Genetics 9
- Evolution and Genetic Dynamics 6
- Genetic diversity and population structure 3
- Genetic Mapping and Diversity in Plants and Animals 2
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- Microtubule and mitosis dynamics 3
- Co-authors
- Kimerly J. Wilcox (2 shared papers)Lucille S. Hurley (1 shared paper)Lawrence C. Erway (1 shared paper)Jawahar Lal Tiwari (3 shared papers)David Scott Miller (2 shared papers)M. M. Green (1 shared paper)Raja Nassar (1 shared paper)Daniel Gildea (1 shared paper)
- Journals
- Genetics (7 papers)Journal of Theoretical Biology (4 papers)Nature (3 papers)The American Naturalist (1 paper)Annals of the Rheumatic Diseases (1 paper)
- Partner nations
- United StatesAustraliaBelgium
In The Last Decade
Alex Fraser
23 papers receiving 630 citations
Peers
Comparison fields: 5 of 129
- Rheumatology 140
- Genetics 165
- Immunology 90
- Cognitive Neuroscience 79
- Hematology 39
Countries citing papers authored by Alex Fraser
This map shows the geographic impact of Alex Fraser'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 Alex Fraser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alex Fraser more than expected).
Fields of papers citing papers by Alex Fraser
This network shows the impact of papers produced by Alex Fraser. 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 Alex Fraser. The network helps show where Alex Fraser may publish in the future.
Co-authors
The 18 scholars most cited alongside Alex Fraser, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 162 | |
| 2 | Computer models in genetics | 1970 | 138 |
| 3 | 1979 | 86 | |
| 4 | 1966 | 85 | |
| 5 | 1963 | 28 | |
| 6 | Syntax for Statistical Machine Translation | 2003 | 26 |
| 7 | 1966 | 25 | |
| 8 | 1967 | 22 | |
| 9 | 1974 | 21 | |
| 10 | 1967 | 20 | |
| 11 | 1976 | 18 | |
| 12 | 1967 | 16 | |
| 13 | 1974 | 16 | |
| 14 | 1970 | 11 | |
| 15 | Simulation of genetic systems. XI. Inversion polymorphism. | 1967 | 10 |
| 16 | 1964 | 9 | |
| 17 | 1977 | 8 | |
| 18 | 1973 | 7 | |
| 19 | 1965 | 6 | |
| 20 | 1965 | 5 |
About Alex Fraser
Alex Fraser is a scholar working on Genetics, Cell Biology, Molecular Biology, Cognitive Neuroscience and Ecology, Evolution, Behavior and Systematics, having authored 25 papers that have together received 727 indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (6 papers), Gene Regulatory Network Analysis (3 papers), Microtubule and mitosis dynamics (3 papers), Genetic diversity and population structure (3 papers), Machine Learning in Bioinformatics (2 papers), Bioinformatics and Genomic Networks (2 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers) and Evolutionary Game Theory and Cooperation (2 papers). The work is most often cited by research in Rheumatology (140 citations), Genetics (165 citations), Immunology (90 citations), Cognitive Neuroscience (79 citations) and Hematology (39 citations). Alex Fraser has collaborated with scholars based in United States, Australia and Belgium. Frequent co-authors include Kimerly J. Wilcox, Lucille S. Hurley, Lawrence C. Erway, Jawahar Lal Tiwari, David Scott Miller, M. M. Green, Raja Nassar, Daniel Gildea, Kenji Yamada and David A. Smith. Their work appears in journals such as Genetics, Journal of Theoretical Biology, Nature, The American Naturalist and Annals of the Rheumatic Diseases.
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.