Matthew J Epton
Impact in
- Insect Science top 1%
- Insect symbiosis and bacterial influences
- Insect behavior and control techniques
- Insect and Pesticide Research
- Insect-Plant Interactions and Control
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- Mosquito-borne diseases and control
Papers in
-
- CRISPR and Genetic Engineering 4
- Insect Resistance and Genetics 3
- Viral Infectious Diseases and Gene Expression in Insects 2
- S100 Proteins and Annexins 2
- Bone Metabolism and Diseases 1
- Genetics 3
- Estrogen and related hormone effects 3
- Co-authors
- Luke Alphey (5 shared papers)Guoliang Fu (5 shared papers)Neil I. Morrison (4 shared papers)Tarig Dafa’alla (4 shared papers)George C. Condon (3 shared papers)P. G. Coleman (2 shared papers)Sarah Scaife (2 shared papers)Peng Gong (2 shared papers)
- Journals
- Nature Biotechnology (3 papers)Journal of Anatomy (1 paper)BMC Biology (1 paper)Progress in brain research (1 paper)Endocrinology (1 paper)
- Partner nations
- United KingdomUnited StatesJapan
In The Last Decade
Matthew J Epton
9 papers receiving 788 citations
Peers
Comparison fields: 5 of 78
- Insect Science 472
- Public Health, Environmental and Occupational Health 224
- Molecular Biology 480
- Behavioral Neuroscience 11
- Genetics 69
Countries citing papers authored by Matthew J Epton
This map shows the geographic impact of Matthew J Epton'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 Matthew J Epton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew J Epton more than expected).
Fields of papers citing papers by Matthew J Epton
This network shows the impact of papers produced by Matthew J Epton. 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 Matthew J Epton. The network helps show where Matthew J Epton may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew J Epton, 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 | 2007 | 322 | |
| 2 | 2007 | 204 | |
| 3 | 2005 | 143 | |
| 4 | 2003 | 62 | |
| 5 | 2006 | 44 | |
| 6 | 1999 | 19 | |
| 7 | 2012 | 19 | |
| 8 | 2002 | 18 | |
| 9 | 2002 | 1 |
About Matthew J Epton
Matthew J Epton is a scholar working on Molecular Biology, Genetics, Insect Science, Surgery and Cellular and Molecular Neuroscience, having authored 9 papers that have together received 832 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (4 papers), Insect Resistance and Genetics (3 papers), Estrogen and related hormone effects (3 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), S100 Proteins and Annexins (2 papers), Insect behavior and control techniques (2 papers), Bone Metabolism and Diseases (1 paper) and Cholesterol and Lipid Metabolism (1 paper). The work is most often cited by research in Insect Science (472 citations), Public Health, Environmental and Occupational Health (224 citations), Molecular Biology (480 citations), Behavioral Neuroscience (11 citations) and Genetics (69 citations). Matthew J Epton has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include Luke Alphey, Guoliang Fu, Neil I. Morrison, Tarig Dafa’alla, George C. Condon, P. G. Coleman, Sarah Scaife, Peng Gong, Jin Li and Helen White‐Cooper. Their work appears in journals such as Nature Biotechnology, Journal of Anatomy, BMC Biology, Progress in brain research and Endocrinology.
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.