Tiffany Runyan Garrison
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 5%
- Pharmacology top 2%
- Physiology
- Immunology
- Co-authors
- Robert J. LefkowitzWilliam E. MillerSeungkirl AhnHenrik DohlmanMarlon CowartD. Scott WitherowJorge D. BrioniGinger A. Hoffman
- Topics
- Cannabis and Cannabinoid Research (6 papers)Receptor Mechanisms and Signaling (5 papers)Neurotransmitter Receptor Influence on Behavior (5 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Medicinal Chemistry
- Partner nations
- United StatesRussia
In The Last Decade
Tiffany Runyan Garrison
19 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 92
- Molecular Biology 1.1k
- Cellular and Molecular Neuroscience 579
- Pharmacology 418
- Physiology 188
- Immunology 183
Countries citing papers authored by Tiffany Runyan Garrison
This map shows the geographic impact of Tiffany Runyan Garrison'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 Tiffany Runyan Garrison with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tiffany Runyan Garrison more than expected).
Fields of papers citing papers by Tiffany Runyan Garrison
This network shows the impact of papers produced by Tiffany Runyan Garrison. 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 Tiffany Runyan Garrison. The network helps show where Tiffany Runyan Garrison may publish in the future.
Co-authorship network of co-authors of Tiffany Runyan Garrison
This figure shows the co-authorship network connecting the top 25 collaborators of Tiffany Runyan Garrison. A scholar is included among the top collaborators of Tiffany Runyan Garrison 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 Tiffany Runyan Garrison. Tiffany Runyan Garrison is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 22 | |
| 3 | 10 | |
| 4 | 169 | |
| 5 | 18 | |
| 6 | and Alzheimer's disease | 95 |
| 7 | 55 | |
| 8 | 116 | |
| 9 | 69 | |
| 10 | 124 | |
| 11 | 94 | |
| 12 | 149 | |
| 13 | 223 | |
| 14 | 200 | |
| 15 | 73 | |
| 16 | 1 | |
| 17 | 36 | |
| 18 | 70 | |
| 19 | 99 |
About Tiffany Runyan Garrison
Tiffany Runyan Garrison is a scholar working on Cellular and Molecular Neuroscience, Biological Psychiatry and Pharmacology, having authored 19 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (6 papers), Receptor Mechanisms and Signaling (5 papers) and Neurotransmitter Receptor Influence on Behavior (5 papers). The work is most often cited by research in Toxicology (132 citations), Cellular and Molecular Neuroscience (579 citations) and Pharmacology (418 citations). Tiffany Runyan Garrison has collaborated with scholars based in United States and Russia. Frequent co-authors include Robert J. Lefkowitz, William E. Miller, Seungkirl Ahn, Henrik Dohlman, Marlon Cowart, D. Scott Witherow, Jorge D. Brioni, Ginger A. Hoffman, Christopher Nelson and Huijun Wei. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Medicinal Chemistry.
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.