Alastair Brown
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- Neuropeptides and Animal Physiology 10
- Neuroscience and Neuropharmacology Research 7
- Nuclear Receptors and Signaling 3
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- Diabetes Treatment and Management 7
- Molecular Biology top 5%
- Receptor Mechanisms and Signaling 19
- Endocrine and Autonomic Systems top 10%
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- Computational Drug Discovery Methods 4
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- Cardiovascular, Neuropeptides, and Oxidative Stress Research 3
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- Apelin-related biomedical research 3
- Co-authors
- Chris de GraafNicholas D. HollidayFiona H. MarshallRoger CookeJanet J. MaguireAnthony P. DavenportConor C. G. ScullyJonathan R. S. Arch
- Partner nations
- United KingdomAustraliaUnited States
In The Last Decade
Alastair Brown
39 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Cellular and Molecular Neuroscience 626
- Endocrinology, Diabetes and Metabolism 466
- Molecular Biology 1.4k
- Endocrine and Autonomic Systems 88
- Computational Theory and Mathematics 185
Countries citing papers authored by Alastair Brown
This map shows the geographic impact of Alastair Brown'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 Alastair Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alastair Brown more than expected).
Fields of papers citing papers by Alastair Brown
This network shows the impact of papers produced by Alastair Brown. 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 Alastair Brown. The network helps show where Alastair Brown may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Alastair Brown, 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 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 7 | |
| 4 | 2023 | 23 | |
| 5 | 2021 | 26 | |
| 6 | 2021 | 6 | |
| 7 | 2020 | 0 | |
| 8 | 2020 | 6 | |
| 9 | 2020 | 201 | |
| 10 | 2019 | 38 | |
| 11 | 2017 | 136 | |
| 12 | 2017 | 39 | |
| 13 | 2017 | 10 | |
| 14 | Glucagon-Like Peptide-1 and Its Class B G Protein–Coupled Receptors: A Long March to Therapeutic Successesbreakdown → | 2016 | 288 |
| 15 | 2015 | 20 | |
| 16 | 2015 | 53 | |
| 17 | 2012 | 122 | |
| 18 | 2007 | 91 | |
| 19 | 1999 | 26 | |
| 20 | 1999 | 3 |
About Alastair Brown
Alastair Brown is a scholar working on Cellular and Molecular Neuroscience, Sensory Systems and Endocrinology, Diabetes and Metabolism, having authored 42 papers that have together received 1.9k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (19 papers), Neuropeptides and Animal Physiology (10 papers), Neuroscience and Neuropharmacology Research (7 papers), Diabetes Treatment and Management (7 papers), Computational Drug Discovery Methods (4 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (3 papers), Apelin-related biomedical research (3 papers) and Nuclear Receptors and Signaling (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (626 citations), Endocrinology, Diabetes and Metabolism (466 citations) and Molecular Biology (1.4k citations). Alastair Brown has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Chris de Graaf, Nicholas D. Holliday, Fiona H. Marshall, Roger Cooke, Janet J. Maguire, Anthony P. Davenport, Conor C. G. Scully, Jonathan R. S. Arch, Alison Davies and Jacqueline O’Dowd. Their work appears in journals such as Nature, Nature Communications and Nature Reviews Drug Discovery.
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.