Dayna L. Averitt
About
In The Last Decade
Dayna L. Averitt
22 papers receiving 278 citations
Peers
Comparison fields: 5 of 75
- Physiology 134
- Molecular Biology 68
- Cellular and Molecular Neuroscience 63
- Psychiatry and Mental health 32
- Pharmacology 26
Countries citing papers authored by Dayna L. Averitt
This map shows the geographic impact of Dayna L. Averitt'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 Dayna L. Averitt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dayna L. Averitt more than expected).
Fields of papers citing papers by Dayna L. Averitt
This network shows the impact of papers produced by Dayna L. Averitt. 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 Dayna L. Averitt. The network helps show where Dayna L. Averitt may publish in the future.
Co-authorship network of co-authors of Dayna L. Averitt
This figure shows the co-authorship network connecting the top 25 collaborators of Dayna L. Averitt. A scholar is included among the top collaborators of Dayna L. Averitt 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 Dayna L. Averitt. Dayna L. Averitt 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 | 6 | |
| 4 | 27 | |
| 5 | 6 | |
| 6 | 9 | |
| 7 | 9 | |
| 8 | EXPRESSION OF SEROTONIN RECEPTOR SUBTYPE 3A (5HT3A) ON RAT TRIGEMINAL SENSORY NEURONS. | 2 |
| 9 | 25 | |
| 10 | 9 | |
| 11 | 6 | |
| 12 | 2 | |
| 13 | 3 | |
| 14 | 69 | |
| 15 | 21 | |
| 16 | 1 | |
| 17 | 18 | |
| 18 | 0 | |
| 19 | 3 | |
| 20 | 16 |
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.