Alastair Brown
- Molecular Biology top 5%
- Cellular and Molecular Neuroscience top 5%
- Endocrinology, Diabetes and Metabolism top 2%
- Surgery top 10%
- Physiology top 10%
- Co-authors
- Chris de GraafNicholas D. HollidayFiona H. MarshallRoger CookeJanet J. MaguireAnthony P. DavenportConor C. G. ScullyJonathan R. S. Arch
- Topics
- Receptor Mechanisms and Signaling (19 papers)Neuropeptides and Animal Physiology (10 papers)Neuroscience and Neuropharmacology Research (7 papers)
- 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
- Molecular Biology 1.4k
- Cellular and Molecular Neuroscience 626
- Endocrinology, Diabetes and Metabolism 466
- Surgery 288
- Physiology 232
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 of co-authors of Alastair Brown
This figure shows the co-authorship network connecting the top 25 collaborators of Alastair Brown. A scholar is included among the top collaborators of Alastair Brown based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Alastair Brown. Alastair Brown is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 7 | |
| 4 | 23 | |
| 5 | 26 | |
| 6 | 6 | |
| 7 | 0 | |
| 8 | 6 | |
| 9 | 201 | |
| 10 | 38 | |
| 11 | 136 | |
| 12 | 39 | |
| 13 | 10 | |
| 14 | Glucagon-Like Peptide-1 and Its Class B G Protein–Coupled Receptors: A Long March to Therapeutic Successesbreakdown → | 288 |
| 15 | 20 | |
| 16 | 53 | |
| 17 | 122 | |
| 18 | 91 | |
| 19 | 26 | |
| 20 | 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) and Neuroscience and Neuropharmacology Research (7 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.