David Eccles
Impact in
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- Epigenetics and DNA Methylation
- Genomics and Phylogenetic Studies
- Planarian Biology and Electrostimulation
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- Genetic Associations and Epidemiology
Papers in
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- Genomics and Phylogenetic Studies 4
- Metabolomics and Mass Spectrometry Studies 2
- Molecular Biology Techniques and Applications 2
- Genetics 8
- Genetic Associations and Epidemiology 3
- Co-authors
- Rod A. Lea (17 shared papers)Lyn R. Griffiths (13 shared papers)Donia Macartney‐Coxson (9 shared papers)Miles C. Benton (12 shared papers)Eric P. Hoffman (1 shared paper)Brennan Harmon (1 shared paper)A.C. Johnstone (1 shared paper)Mark Hayes (1 shared paper)
- Journals
- PLoS ONE (3 papers)Frontiers in Oncology (2 papers)mSystems (1 paper)The American Journal of Human Genetics (1 paper)The Journal of Experimental Medicine (1 paper)
- Partner nations
- New ZealandAustraliaUnited States
In The Last Decade
David Eccles
32 papers receiving 661 citations
Peers
Comparison fields: 5 of 109
- Molecular Biology 322
- Genetics 124
- Aging 7
- Paleontology 30
- Immunology 69
Countries citing papers authored by David Eccles
This map shows the geographic impact of David Eccles'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 Eccles with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Eccles more than expected).
Fields of papers citing papers by David Eccles
This network shows the impact of papers produced by David Eccles. 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 Eccles. The network helps show where David Eccles may publish in the future.
Co-authors
The 25 scholars most cited alongside David Eccles, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 195 | |
| 2 | 2014 | 58 | |
| 3 | 2016 | 58 | |
| 4 | 2018 | 53 | |
| 5 | 2011 | 49 | |
| 6 | 2021 | 34 | |
| 7 | 2012 | 30 | |
| 8 | 2018 | 28 | |
| 9 | 2013 | 23 | |
| 10 | 2018 | 22 | |
| 11 | 2022 | 13 | |
| 12 | 2019 | 13 | |
| 13 | 2012 | 12 | |
| 14 | 2015 | 11 | |
| 15 | 2015 | 9 | |
| 16 | 2021 | 8 | |
| 17 | 2020 | 8 | |
| 18 | 2017 | 6 | |
| 19 | 2022 | 6 | |
| 20 | 2012 | 5 |
About David Eccles
David Eccles is a scholar working on Molecular Biology, Genetics, Clinical Biochemistry, Cancer Research and Cellular and Molecular Neuroscience, having authored 34 papers that have together received 669 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (4 papers), Metabolism and Genetic Disorders (3 papers), Genetic Associations and Epidemiology (3 papers), Folate and B Vitamins Research (2 papers), Seismic Imaging and Inversion Techniques (2 papers), Glaucoma and retinal disorders (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers) and Molecular Biology Techniques and Applications (2 papers). The work is most often cited by research in Molecular Biology (322 citations), Genetics (124 citations), Aging (7 citations), Paleontology (30 citations) and Immunology (69 citations). David Eccles has collaborated with scholars based in New Zealand, Australia and United States. Frequent co-authors include Rod A. Lea, Lyn R. Griffiths, Donia Macartney‐Coxson, Miles C. Benton, Eric P. Hoffman, Brennan Harmon, A.C. Johnstone, Mark Hayes, Richard S. Stubbs and Geoffrey K. Chambers. Their work appears in journals such as PLoS ONE, Frontiers in Oncology, mSystems, The American Journal of Human Genetics and The Journal of Experimental 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.