Claude Beazley
Impact in
- Genetics top 0.5%
- Genetic Associations and Epidemiology
- Genomic variations and chromosomal abnormalities
- Genetic Mapping and Diversity in Plants and Animals
- Cancer Research top 5%
Papers in
- Genetics 7
- Genetic Associations and Epidemiology 6
- Genomic variations and chromosomal abnormalities 4
- Genetic Mapping and Diversity in Plants and Animals 2
- Genomics and Rare Diseases 2
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- Gene expression and cancer classification 3
- Bioinformatics and Genomic Networks 2
- Genomics and Chromatin Dynamics 2
- Co-authors
- Barbara E. StrangerEmmanouil T. DermitzakisPanos DeloukasCatherine IngleAntigone S. DimasStephen B. MontgomeryChristine BirdSimon Tavaré
- Journals
- PLoS Genetics (3 papers)Science (2 papers)Genome biology (1 paper)Nature Genetics (1 paper)Molecular Medicine (1 paper)
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
Claude Beazley
9 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Genetics 2.0k
- Cancer Research 495
- Molecular Biology 2.1k
- Immunology 347
- Aging 16
Countries citing papers authored by Claude Beazley
This map shows the geographic impact of Claude Beazley'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 Claude Beazley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Claude Beazley more than expected).
Fields of papers citing papers by Claude Beazley
This network shows the impact of papers produced by Claude Beazley. 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 Claude Beazley. The network helps show where Claude Beazley may publish in the future.
Co-authors
The 25 scholars most cited alongside Claude Beazley, 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 | 2012 | 306 | |
| 2 | 2010 | 297 | |
| 3 | 2010 | 186 | |
| 4 | 2009 | 489 | |
| 5 | 2008 | 30 | |
| 6 | Population genomics of human gene expression Hit paper breakdown → | 2007 | 789 |
| 7 | 2007 | 127 | |
| 8 | Relative Impact of Nucleotide and Copy Number Variation on Gene Expression Phenotypes Hit paper breakdown → | 2007 | 1269 |
| 9 | 2003 | 30 |
About Claude Beazley
Claude Beazley is a scholar working on Genetics, Molecular Biology, Computational Theory and Mathematics, Radiology, Nuclear Medicine and Imaging and Plant Science, having authored 9 papers that have together received 3.5k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (6 papers), Genomic variations and chromosomal abnormalities (4 papers), Gene expression and cancer classification (3 papers), Bioinformatics and Genomic Networks (2 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers), Genomics and Rare Diseases (2 papers), Genomics and Chromatin Dynamics (2 papers) and Computational Drug Discovery Methods (1 paper). The work is most often cited by research in Genetics (2.0k citations), Cancer Research (495 citations), Molecular Biology (2.1k citations), Immunology (347 citations) and Aging (16 citations). Claude Beazley has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Barbara E. Stranger, Emmanouil T. Dermitzakis, Panos Deloukas, Catherine Ingle, Antigone S. Dimas, Stephen B. Montgomery, Christine Bird, Simon Tavaré, Matthew S. Forrest and Mark Dunning. Their work appears in journals such as PLoS Genetics, Science, Genome biology, Nature Genetics and Molecular 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.