Alexis Bailey
- Cellular and Molecular Neuroscience top 2%
- Molecular Biology top 10%
- Social Psychology top 2%
- Physiology top 10%
- Endocrine and Autonomic Systems top 2%
- Co-authors
- Ian KitchenPanos ZanosPolymnia GeorgiouSusanna M.O. HouraniRaphaëlle Winsky‐SommererAthanasios MetaxasStefan SchulzAndrea Kliewer
- Topics
- Receptor Mechanisms and Signaling (29 papers)Neuropeptides and Animal Physiology (23 papers)Neurotransmitter Receptor Influence on Behavior (22 papers)
- Journals
- Nature CommunicationsJournal of NeuroscienceSHILAP Revista de lepidopterología
- Partner nations
- United KingdomUnited StatesBrazil
In The Last Decade
Alexis Bailey
88 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 104
- Cellular and Molecular Neuroscience 914
- Molecular Biology 824
- Social Psychology 451
- Physiology 258
- Endocrine and Autonomic Systems 255
Countries citing papers authored by Alexis Bailey
This map shows the geographic impact of Alexis Bailey'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 Alexis Bailey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexis Bailey more than expected).
Fields of papers citing papers by Alexis Bailey
This network shows the impact of papers produced by Alexis Bailey. 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 Alexis Bailey. The network helps show where Alexis Bailey may publish in the future.
Co-authorship network of co-authors of Alexis Bailey
This figure shows the co-authorship network connecting the top 25 collaborators of Alexis Bailey. A scholar is included among the top collaborators of Alexis Bailey 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 Alexis Bailey. Alexis Bailey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 9 | |
| 8 | 1 | |
| 9 | 10 | |
| 10 | 14 | |
| 11 | 6 | |
| 12 | 16 | |
| 13 | 6 | |
| 14 | 9 | |
| 15 | 41 | |
| 16 | 16 | |
| 17 | 34 | |
| 18 | 32 | |
| 19 | 28 | |
| 20 | 32 |
About Alexis Bailey
Alexis Bailey is a scholar working on Behavioral Neuroscience, Cellular and Molecular Neuroscience and Biological Psychiatry, having authored 94 papers that have together received 1.8k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (29 papers), Neuropeptides and Animal Physiology (23 papers) and Neurotransmitter Receptor Influence on Behavior (22 papers). The work is most often cited by research in Behavioral Neuroscience (217 citations), Cellular and Molecular Neuroscience (914 citations) and Endocrine and Autonomic Systems (255 citations). Alexis Bailey has collaborated with scholars based in United Kingdom, United States and Brazil. Frequent co-authors include Ian Kitchen, Panos Zanos, Polymnia Georgiou, Susanna M.O. Hourani, Raphaëlle Winsky‐Sommerer, Athanasios Metaxas, Stefan Schulz, Andrea Kliewer, Setareh Sianati and John T. Williams. Their work appears in journals such as Nature Communications, Journal of Neuroscience and SHILAP Revista de lepidopterología.
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.