Gabrielle L. Davidson
- Cellular and Molecular Neuroscience top 5%
- Molecular Biology
- Ecology, Evolution, Behavior and Systematics top 5%
- Social Psychology top 10%
- Ecology top 10%
- Co-authors
- John L. QuinnNicola S. ClaytonAmy C. CookeCrystal N. JohnsonAlex ThorntonMichael S. ReichertAura RauloSarah C. L. Knowles
- Topics
- Animal Behavior and Reproduction (14 papers)Primate Behavior and Ecology (8 papers)Gut microbiota and health (7 papers)
- Cited by
- Developmental BiologyCellular and Molecular NeuroscienceEcology, Evolution, Behavior and Systematics
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaTrends in Ecology & Evolution
- Partner nations
- United KingdomIrelandUnited States
In The Last Decade
Gabrielle L. Davidson
26 papers receiving 818 citations
Peers
Comparison fields: 5 of 86
- Cellular and Molecular Neuroscience 273
- Molecular Biology 260
- Ecology, Evolution, Behavior and Systematics 243
- Social Psychology 147
- Ecology 140
Countries citing papers authored by Gabrielle L. Davidson
This map shows the geographic impact of Gabrielle L. Davidson'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 Gabrielle L. Davidson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabrielle L. Davidson more than expected).
Fields of papers citing papers by Gabrielle L. Davidson
This network shows the impact of papers produced by Gabrielle L. Davidson. 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 Gabrielle L. Davidson. The network helps show where Gabrielle L. Davidson may publish in the future.
Co-authorship network of co-authors of Gabrielle L. Davidson
This figure shows the co-authorship network connecting the top 25 collaborators of Gabrielle L. Davidson. A scholar is included among the top collaborators of Gabrielle L. Davidson 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 Gabrielle L. Davidson. Gabrielle L. Davidson 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 | 2 | |
| 4 | 5 | |
| 5 | 16 | |
| 6 | 3 | |
| 7 | 3 | |
| 8 | 31 | |
| 9 | 21 | |
| 10 | 62 | |
| 11 | 17 | |
| 12 | 61 | |
| 13 | 10 | |
| 14 | 20 | |
| 15 | 15 | |
| 16 | 34 | |
| 17 | 23 | |
| 18 | 42 | |
| 19 | 257 | |
| 20 | 14 |
About Gabrielle L. Davidson
Gabrielle L. Davidson is a scholar working on Developmental Biology, Ecology, Evolution, Behavior and Systematics and Social Psychology, having authored 27 papers that have together received 844 indexed citations. Recurring topics across this work include Animal Behavior and Reproduction (14 papers), Primate Behavior and Ecology (8 papers) and Gut microbiota and health (7 papers). The work is most often cited by research in Developmental Biology (76 citations), Cellular and Molecular Neuroscience (273 citations) and Ecology, Evolution, Behavior and Systematics (243 citations). Gabrielle L. Davidson has collaborated with scholars based in United Kingdom, Ireland and United States. Frequent co-authors include John L. Quinn, Nicola S. Clayton, Amy C. Cooke, Crystal N. Johnson, Alex Thornton, Michael S. Reichert, Aura Raulo, Sarah C. L. Knowles, Sinéad M. Murphy and Alexander M. Rossor. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Trends in Ecology & Evolution.
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.