David R. Sibley
- Cellular and Molecular Neuroscience top 0.02%
- Neurotransmitter Receptor Influence on Behavior 119
- Neuroscience and Neuropharmacology Research 56
- Neuropeptides and Animal Physiology 53
- Molecular Biology top 0.2%
- Receptor Mechanisms and Signaling 191
- Ion channel regulation and function 21
- Pharmacological Receptor Mechanisms and Effects 17
- Biological Psychiatry top 1%
- Behavioral Neuroscience top 1%
- Neurology top 0.5%
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- Computational Drug Discovery Methods 13
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- Neuroendocrine regulation and behavior 11
- Co-authors
- Frederick J. MonsmaRobert J. LefkowitzIan CreeseCharles R. GerfenLawrence C. MahanMarc G. CaronThomas N. ChaseThomas M. Engber
- Partner nations
- United StatesAustraliaSweden
In The Last Decade
David R. Sibley
253 papers receiving 19.4k citations
Hit Papers
Peers
Comparison fields: 5 of 187
- Cellular and Molecular Neuroscience 12.7k
- Molecular Biology 11.9k
- Biological Psychiatry 424
- Behavioral Neuroscience 471
- Neurology 1.9k
Countries citing papers authored by David R. Sibley
This map shows the geographic impact of David R. Sibley'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 R. Sibley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David R. Sibley more than expected).
Fields of papers citing papers by David R. Sibley
This network shows the impact of papers produced by David R. Sibley. 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 R. Sibley. The network helps show where David R. Sibley may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David R. Sibley, 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 | 2024 | 5 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 6 | |
| 5 | 2023 | 0 | |
| 6 | 2023 | 5 | |
| 7 | 2022 | 27 | |
| 8 | 2022 | 1 | |
| 9 | 2021 | 68 | |
| 10 | 2021 | 178 | |
| 11 | 2020 | 13 | |
| 12 | 2020 | 17 | |
| 13 | 2020 | 30 | |
| 14 | 2020 | 8 | |
| 15 | 2019 | 22 | |
| 16 | 2018 | 20 | |
| 17 | 2012 | 71 | |
| 18 | 5-HT 6 and 5-HT 7 Receptors: Molecular Biology, Functional Correlates and Possible Therapeutic Indications. | 1997 | 12 |
| 19 | 1996 | 13 | |
| 20 | 1996 | 154 |
About David R. Sibley
David R. Sibley is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Biological Psychiatry, having authored 263 papers that have together received 20.0k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (191 papers), Neurotransmitter Receptor Influence on Behavior (119 papers), Neuroscience and Neuropharmacology Research (56 papers), Neuropeptides and Animal Physiology (53 papers), Ion channel regulation and function (21 papers), Pharmacological Receptor Mechanisms and Effects (17 papers), Computational Drug Discovery Methods (13 papers) and Neuroendocrine regulation and behavior (11 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (12.7k citations), Molecular Biology (11.9k citations) and Biological Psychiatry (424 citations). David R. Sibley has collaborated with scholars based in United States, Australia and Sweden. Frequent co-authors include Frederick J. Monsma, Robert J. Lefkowitz, Ian Creese, Charles R. Gerfen, Lawrence C. Mahan, Marc G. Caron, Thomas N. Chase, Thomas M. Engber, Zvi Susel and Mark W. Hamblin. Their work appears in journals such as Nature, Science and Cell.
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.