Stephen Beesley
Impact in
- Endocrine and Autonomic Systems top 0.5%
- Circadian rhythm and melatonin
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
Papers in ⓘ
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- Circadian rhythm and melatonin 12
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- Neuroscience and Neuropharmacology Research 7
- Co-authors
- Andrew Loudon (6 shared papers)David Ray (5 shared papers)Julie Gibbs (4 shared papers)Stuart Farrow (3 shared papers)Laura Matthews (2 shared papers)John Blaikley (1 shared paper)Kathryn J. Else (1 shared paper)Karen D. Simpson (1 shared paper)
- Journals
- PLoS ONE (3 papers)Nature Communications (2 papers)Journal of Neurophysiology (2 papers)Neuropharmacology (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- United StatesUnited KingdomSouth Korea
In The Last Decade
Stephen Beesley
21 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Endocrine and Autonomic Systems 880
- Aging 113
- Biological Psychiatry 81
- Behavioral Neuroscience 72
- Physiology 458
Countries citing papers authored by Stephen Beesley
This map shows the geographic impact of Stephen Beesley'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 Stephen Beesley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Beesley more than expected).
Fields of papers citing papers by Stephen Beesley
This network shows the impact of papers produced by Stephen Beesley. 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 Stephen Beesley. The network helps show where Stephen Beesley may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen Beesley, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The nuclear receptor REV-ERBα mediates circadian regulation of innate immunity through selective regulation of inflammatory cytokines Hit paper breakdown → | 2011 | 527 |
| 2 | 2012 | 133 | |
| 3 | 2008 | 102 | |
| 4 | 2008 | 100 | |
| 5 | 2020 | 47 | |
| 6 | 2015 | 41 | |
| 7 | 2017 | 40 | |
| 8 | 2015 | 40 | |
| 9 | 2011 | 38 | |
| 10 | 2014 | 36 | |
| 11 | 2018 | 36 | |
| 12 | 2020 | 30 | |
| 13 | 2016 | 21 | |
| 14 | 2015 | 20 | |
| 15 | 2020 | 14 | |
| 16 | 2018 | 14 | |
| 17 | 2016 | 9 | |
| 18 | 2020 | 8 | |
| 19 | 2023 | 3 | |
| 20 | 2022 | 3 |
About Stephen Beesley
Stephen Beesley is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience, Molecular Biology, Physiology and Plant Science, having authored 21 papers that have together received 1.3k indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (12 papers), Neuroscience and Neuropharmacology Research (7 papers), Amino Acid Enzymes and Metabolism (3 papers), Neuroendocrine regulation and behavior (3 papers), Light effects on plants (3 papers), Plant Molecular Biology Research (2 papers), Psychological and Temporal Perspectives Research (2 papers) and Spaceflight effects on biology (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (880 citations), Aging (113 citations), Biological Psychiatry (81 citations), Behavioral Neuroscience (72 citations) and Physiology (458 citations). Stephen Beesley has collaborated with scholars based in United States, United Kingdom and South Korea. Frequent co-authors include Andrew Loudon, David Ray, Julie Gibbs, Stuart Farrow, Laura Matthews, John Blaikley, Kathryn J. Else, Karen D. Simpson, Qing‐Jun Meng and Jian Li. Their work appears in journals such as PLoS ONE, Nature Communications, Journal of Neurophysiology, Neuropharmacology and Proceedings of the National Academy of Sciences.
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.