David Sexton
Impact in
- Pharmacology top 5%
- Pharmacogenetics and Drug Metabolism
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- DNA Repair Mechanisms
- DNA and Nucleic Acid Chemistry
- Renal and related cancers
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
Papers in
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- Gene expression and cancer classification 3
- Single-cell and spatial transcriptomics 2
- Genetics 4
- Genetic Associations and Epidemiology 2
- Genetic and Kidney Cyst Diseases 1
- Genetic and phenotypic traits in livestock 1
- Co-authors
- Katy R. Astell (1 shared paper)Shelagh Boyle (1 shared paper)Robert E. Hill (1 shared paper)Andrea Leitch (1 shared paper)Graeme R. Grimes (1 shared paper)Margaret Keighren (1 shared paper)Elliott P. Dawson (1 shared paper)Todd L. Edwards (1 shared paper)
- Journals
- Pharmacogenomics (1 paper)Journal of Animal Ecology (1 paper)PLoS Computational Biology (1 paper)Computational and Structural Biotechnology Journal (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
David Sexton
15 papers receiving 893 citations
Peers
Comparison fields: 5 of 97
- Pharmacology 145
- Molecular Biology 566
- Immunology 116
- Genetics 143
- Oncology 119
Countries citing papers authored by David Sexton
This map shows the geographic impact of David Sexton'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 Sexton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Sexton more than expected).
Fields of papers citing papers by David Sexton
This network shows the impact of papers produced by David Sexton. 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 Sexton. The network helps show where David Sexton may publish in the future.
Co-authors
The 25 scholars most cited alongside David Sexton, 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 | 364 | |
| 2 | 2004 | 186 | |
| 3 | 2011 | 102 | |
| 4 | 2012 | 48 | |
| 5 | 2009 | 41 | |
| 6 | Finding unique filter sets in PLATO: a precursor to efficient interaction analysis in GWAS data. | 2010 | 40 |
| 7 | 2009 | 34 | |
| 8 | Localization of SMAD5 and its evaluation as a candidate myeloid tumor suppressor. | 1997 | 26 |
| 9 | 2018 | 25 | |
| 10 | 2004 | 17 | |
| 11 | 2010 | 17 | |
| 12 | 2021 | 5 | |
| 13 | 2021 | 5 | |
| 14 | 2022 | 5 | |
| 15 | 2022 | 2 |
About David Sexton
David Sexton is a scholar working on Molecular Biology, Genetics, Ecology, Evolution, Behavior and Systematics, Ecology and Oncology, having authored 15 papers that have together received 917 indexed citations. Recurring topics across this work include Gene expression and cancer classification (3 papers), Single-cell and spatial transcriptomics (2 papers), Animal Behavior and Reproduction (2 papers), Genetic Associations and Epidemiology (2 papers), Avian ecology and behavior (2 papers), Cell Image Analysis Techniques (1 paper), Genetic and Kidney Cyst Diseases (1 paper) and Genetic and phenotypic traits in livestock (1 paper). The work is most often cited by research in Pharmacology (145 citations), Molecular Biology (566 citations), Immunology (116 citations), Genetics (143 citations) and Oncology (119 citations). David Sexton has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Katy R. Astell, Shelagh Boyle, Robert E. Hill, Andrea Leitch, Graeme R. Grimes, Margaret Keighren, Elliott P. Dawson, Todd L. Edwards, Paul S. Devenney and Laura A. Lettice. Their work appears in journals such as Pharmacogenomics, Journal of Animal Ecology, PLoS Computational Biology, Computational and Structural Biotechnology Journal and Nature Communications.
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.