Stephen Beesley

21 papers receiving 1.3k citations

Hit Papers

The nuclear receptor REV-ERBα mediates circadian regulation of innate immunity through selective regulation of inflammatory cytokines 2011 · 527 citations
5272011202620162021100200300400500

Peers

Stephen Beesley
Comparison fields: 5 of 101
  • Endocrine and Autonomic Systems 880
  • Aging 113
  • Biological Psychiatry 81
  • Behavioral Neuroscience 72
  • Physiology 458
Replace Ricardo Orozco-Solís with:
Ricardo Orozco-Solís United States
Yool Lee United States
Erin M. Dauchy United States
Shuo‐Bin Jou Taiwan
Takashi Kudo Japan
Margaret M. Koletar Canada
Antje Jilg Germany
Rodrigo Antonio Peliciari‐Garcia Brazil
Chiaki Omura United States
Hong Su China
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Citations per field
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Citations per year

Countries citing papers authored by Stephen Beesley

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Stephen Beesley Line = papers co-authored together Stephen Beesley links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

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 →
2011527
2 2012133
3 2008102
4 2008100
5 202047
6 201541
7 201740
8 201540
9 201138
10 201436
11 201836
12 202030
13 201621
14 201520
15 202014
16 201814
17 20169
18 20208
19 20233
20 20223

About Stephen Beesley

Stephen Beesley is a scholar working on Endocrine and Autonomic Systems, Aging, Cellular and Molecular Neuroscience, Biochemistry and Biological Psychiatry, 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.

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