Kathryn Elliott
- Molecular Biology top 5%
- Physiology top 2%
- Cellular and Molecular Neuroscience top 2%
- Anesthesiology and Pain Medicine top 0.5%
- Pharmacology top 2%
- Co-authors
- Charles E. InturrisiEdwin C. JohnsonLaura E. Chavez-NoriegaMegumi ShimoyamaNaohito ShimoyamaArturo UrrutiaJames H. CronaAmy Gorman
- Topics
- Neuropeptides and Animal Physiology (14 papers)Pain Mechanisms and Treatments (13 papers)Neuroscience and Neuropharmacology Research (8 papers)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Kathryn Elliott
58 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 117
- Molecular Biology 1.6k
- Physiology 1.1k
- Cellular and Molecular Neuroscience 1.1k
- Anesthesiology and Pain Medicine 440
- Pharmacology 412
Countries citing papers authored by Kathryn Elliott
This map shows the geographic impact of Kathryn Elliott'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 Kathryn Elliott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kathryn Elliott more than expected).
Fields of papers citing papers by Kathryn Elliott
This network shows the impact of papers produced by Kathryn Elliott. 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 Kathryn Elliott. The network helps show where Kathryn Elliott may publish in the future.
Co-authorship network of co-authors of Kathryn Elliott
This figure shows the co-authorship network connecting the top 25 collaborators of Kathryn Elliott. A scholar is included among the top collaborators of Kathryn Elliott 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 Kathryn Elliott. Kathryn Elliott is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 35 | |
| 3 | 33 | |
| 4 | 184 | |
| 5 | 5 | |
| 6 | 31 | |
| 7 | 63 | |
| 8 | Defective inhibitory properties of human cardiac troponin I mutants that cause familial hypertrophic cardiomyopathy (FHC) | 4 |
| 9 | 31 | |
| 10 | 14 | |
| 11 | 7 | |
| 12 | 61 | |
| 13 | 53 | |
| 14 | 23 | |
| 15 | 56 | |
| 16 | 231 | |
| 17 | Dextromethorphan attenuates and reverses morphine tolerance | 5 |
| 18 | 5 | |
| 19 | 59 | |
| 20 | Well woman care: whose responsibility? | 1 |
About Kathryn Elliott
Kathryn Elliott is a scholar working on Cellular and Molecular Neuroscience, Virology and Physiology, having authored 58 papers that have together received 3.3k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (14 papers), Pain Mechanisms and Treatments (13 papers) and Neuroscience and Neuropharmacology Research (8 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (440 citations), Cellular and Molecular Neuroscience (1.1k citations) and Physiology (1.1k citations). Kathryn Elliott has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Charles E. Inturrisi, Edwin C. Johnson, Laura E. Chavez-Noriega, Megumi Shimoyama, Naohito Shimoyama, Arturo Urrutia, James H. Crona, Amy Gorman, Mark Washburn and Kathleen M. Foley. Their work appears in journals such as New England Journal of Medicine, The Lancet and Journal of Biological 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.