David A. Sykes
- Otorhinolaryngology top 2%
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- Neuropeptides and Animal Physiology 10
- Neuroscience and Neuropharmacology Research 6
- Molecular Biology top 10%
- Receptor Mechanisms and Signaling 30
- Lipid Membrane Structure and Behavior 5
- Molecular Medicine top 5%
- Immunology and Allergy top 10%
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- Blood Pressure and Hypertension Studies 4
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- Pharmacological Effects and Assays 4
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- Computational Drug Discovery Methods 4
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- Cannabis and Cannabinoid Research 4
- Co-authors
- Steven J. CharltonPeter ColeGraham W. TaylorDavid WatsonRobert WilsonA RutmanMark R. DowlingJ. Robert Lane
- Journals
- The Lancet (1 paper)Journal of the American Chemical Society (1 paper)Journal of Clinical Investigation (1 paper)
- Partner nations
- United KingdomSwitzerlandUnited States
In The Last Decade
David A. Sykes
54 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 127
- Otorhinolaryngology 144
- Cellular and Molecular Neuroscience 449
- Molecular Biology 1.2k
- Molecular Medicine 84
- Immunology and Allergy 85
Countries citing papers authored by David A. Sykes
This map shows the geographic impact of David A. Sykes'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 David A. Sykes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David A. Sykes more than expected).
Fields of papers citing papers by David A. Sykes
This network shows the impact of papers produced by David A. Sykes. 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 David A. Sykes. The network helps show where David A. Sykes may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David A. Sykes, 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 5 | |
| 4 | 2024 | 9 | |
| 5 | 2024 | 3 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 20 | |
| 8 | 2023 | 0 | |
| 9 | 2022 | 12 | |
| 10 | 2022 | 6 | |
| 11 | 2019 | 73 | |
| 12 | 2019 | 15 | |
| 13 | 2017 | 150 | |
| 14 | 2016 | 54 | |
| 15 | 2015 | 8 | |
| 16 | 2014 | 7 | |
| 17 | 1993 | 19 | |
| 18 | 1990 | 38 | |
| 19 | 1987 | 202 | |
| 20 | 1986 | 2 |
About David A. Sykes
David A. Sykes is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Otorhinolaryngology, having authored 57 papers that have together received 2.1k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (30 papers), Neuropeptides and Animal Physiology (10 papers), Neuroscience and Neuropharmacology Research (6 papers), Lipid Membrane Structure and Behavior (5 papers), Blood Pressure and Hypertension Studies (4 papers), Pharmacological Effects and Assays (4 papers), Computational Drug Discovery Methods (4 papers) and Cannabis and Cannabinoid Research (4 papers). The work is most often cited by research in Otorhinolaryngology (144 citations), Cellular and Molecular Neuroscience (449 citations) and Molecular Biology (1.2k citations). David A. Sykes has collaborated with scholars based in United Kingdom, Switzerland and United States. Frequent co-authors include Steven J. Charlton, Peter Cole, Graham W. Taylor, David Watson, Robert Wilson, A Rutman, Mark R. Dowling, J. Robert Lane, Jonathan A. Javitch and Robert Wilson. Their work appears in journals such as The Lancet, Journal of the American Chemical Society and Journal of Clinical Investigation.
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.