James Dillon
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
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- Circadian rhythm and melatonin
Papers in
- Aging 16
- Genetics, Aging, and Longevity in Model Organisms 16
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- Circadian rhythm and melatonin 9
- Co-authors
- Lindy M. Holden-Dye (17 shared papers)Vincent M. O'Connor (17 shared papers)Fernando Calahorro (8 shared papers)Ioannis Andrianakis (3 shared papers)Christopher J. James (3 shared papers)Neil A. Hopper (2 shared papers)Caitríona Murray (3 shared papers)Steven Glautier (2 shared papers)
- Journals
- PLoS ONE (5 papers)Biochemical Society Transactions (2 papers)Scientific Reports (1 paper)Biology Open (1 paper)The FASEB Journal (1 paper)
- Partner nations
- United KingdomAustraliaJapan
In The Last Decade
James Dillon
21 papers receiving 371 citations
Peers
Comparison fields: 5 of 63
- Aging 184
- Endocrine and Autonomic Systems 103
- Cellular and Molecular Neuroscience 65
- Plant Science 119
- Insect Science 35
Countries citing papers authored by James Dillon
This map shows the geographic impact of James Dillon'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 James Dillon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Dillon more than expected).
Fields of papers citing papers by James Dillon
This network shows the impact of papers produced by James Dillon. 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 James Dillon. The network helps show where James Dillon may publish in the future.
Co-authors
The 25 scholars most cited alongside James Dillon, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 106 | |
| 2 | 2010 | 47 | |
| 3 | 2013 | 34 | |
| 4 | 2017 | 31 | |
| 5 | 2006 | 24 | |
| 6 | 2015 | 21 | |
| 7 | 2009 | 18 | |
| 8 | 2015 | 17 | |
| 9 | 2016 | 15 | |
| 10 | 2013 | 14 | |
| 11 | 2018 | 12 | |
| 12 | 1974 | 9 | |
| 13 | 2021 | 9 | |
| 14 | 2004 | 7 | |
| 15 | 2020 | 7 | |
| 16 | 2001 | 6 | |
| 17 | 2022 | 3 | |
| 18 | 1964 | 3 | |
| 19 | 2018 | 2 | |
| 20 | 2012 | 1 |
About James Dillon
James Dillon is a scholar working on Aging, Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience, Social Psychology and Animal Science and Zoology, having authored 22 papers that have together received 387 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (16 papers), Circadian rhythm and melatonin (9 papers), Neuroendocrine regulation and behavior (4 papers), Photoreceptor and optogenetics research (3 papers), CRISPR and Genetic Engineering (2 papers), Autism Spectrum Disorder Research (2 papers), Spaceflight effects on biology (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Aging (184 citations), Endocrine and Autonomic Systems (103 citations), Cellular and Molecular Neuroscience (65 citations), Plant Science (119 citations) and Insect Science (35 citations). James Dillon has collaborated with scholars based in United Kingdom, Australia and Japan. Frequent co-authors include Lindy M. Holden-Dye, Vincent M. O'Connor, Fernando Calahorro, Ioannis Andrianakis, Christopher J. James, Neil A. Hopper, Caitríona Murray, Steven Glautier, Richard F. Mould and Chunxiao Hu. Their work appears in journals such as PLoS ONE, Biochemical Society Transactions, Scientific Reports, Biology Open and The FASEB Journal.
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.