Andrew D. Beale
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- Circadian rhythm and melatonin 11
- Modeling and Simulation top 5%
- Aging top 10%
- Genetics, Aging, and Longevity in Model Organisms 2
- Paleontology top 10%
- Subterranean biodiversity and taxonomy 2
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- Malaria Research and Control 2
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- Photoreceptor and optogenetics research 3
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- Sleep and related disorders 2
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- stochastic dynamics and bifurcation 2
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- Marine Ecology and Invasive Species 2
- Co-authors
- Mike CatchpolePaddy FarringtonNick AndrewsMalcolm von SchantzMário PedrazzoliKristen L. KnutsonFelipe BeijaminiBruno da Silva Brandão Gonçalves
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nature Communications (2 papers)Neuron (1 paper)
- Partner nations
- United KingdomUnited StatesBrazil
In The Last Decade
Andrew D. Beale
21 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 175
- Endocrine and Autonomic Systems 170
- Modeling and Simulation 92
- Aging 30
- Paleontology 87
- Public Health, Environmental and Occupational Health 235
Countries citing papers authored by Andrew D. Beale
This map shows the geographic impact of Andrew D. Beale'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 Andrew D. Beale with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew D. Beale more than expected).
Fields of papers citing papers by Andrew D. Beale
This network shows the impact of papers produced by Andrew D. Beale. 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 Andrew D. Beale. The network helps show where Andrew D. Beale may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Andrew D. Beale, 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 | 2025 | 2 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 6 | |
| 4 | 2023 | 12 | |
| 5 | 2022 | 7 | |
| 6 | 2022 | 5 | |
| 7 | 2021 | 15 | |
| 8 | 2021 | 20 | |
| 9 | 2020 | 5 | |
| 10 | 2020 | 19 | |
| 11 | 2019 | 54 | |
| 12 | 2019 | 171 | |
| 13 | 2019 | 1 | |
| 14 | 2018 | 20 | |
| 15 | Comparison between an African town and a neighbouring village shows delayed, but not decreased, sleep during the early stages of urbanisationbreakdown → | 2017 | 421 |
| 16 | 2016 | 65 | |
| 17 | 2015 | 41 | |
| 18 | 2013 | 94 | |
| 19 | 2010 | 57 | |
| 20 | 1996 | 271 |
About Andrew D. Beale
Andrew D. Beale is a scholar working on Endocrine and Autonomic Systems, Aging and Paleontology, having authored 22 papers that have together received 1.3k indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (11 papers), Photoreceptor and optogenetics research (3 papers), Sleep and related disorders (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Subterranean biodiversity and taxonomy (2 papers), stochastic dynamics and bifurcation (2 papers), Marine Ecology and Invasive Species (2 papers) and Malaria Research and Control (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (170 citations), Modeling and Simulation (92 citations) and Aging (30 citations). Andrew D. Beale has collaborated with scholars based in United Kingdom, United States and Brazil. Frequent co-authors include Mike Catchpole, Paddy Farrington, Nick Andrews, Malcolm von Schantz, Mário Pedrazzoli, Kristen L. Knutson, Felipe Beijamini, Bruno da Silva Brandão Gonçalves, Laura C. Roden and Núbia E. Duarte. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.
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.