Trudy A. Kohout
- Molecular Biology top 2%
- Cellular and Molecular Neuroscience top 1%
- Cardiology and Cardiovascular Medicine top 5%
- Oncology top 10%
- Immunology top 10%
- Co-authors
- Robert J. LefkowitzPatricia McDonaldSudha K. ShenoyStephen J. PerryGraciela PiñeyroStéphane AngersMounia AzziMichel Bouvier
- Topics
- Receptor Mechanisms and Signaling (22 papers)Neuropeptides and Animal Physiology (13 papers)Protein Kinase Regulation and GTPase Signaling (5 papers)
- Partner nations
- United StatesUnited KingdomDenmark
In The Last Decade
Trudy A. Kohout
34 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Molecular Biology 3.1k
- Cellular and Molecular Neuroscience 1.6k
- Cardiology and Cardiovascular Medicine 469
- Oncology 420
- Immunology 362
Countries citing papers authored by Trudy A. Kohout
This map shows the geographic impact of Trudy A. Kohout'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 Trudy A. Kohout with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Trudy A. Kohout more than expected).
Fields of papers citing papers by Trudy A. Kohout
This network shows the impact of papers produced by Trudy A. Kohout. 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 Trudy A. Kohout. The network helps show where Trudy A. Kohout may publish in the future.
Co-authorship network of co-authors of Trudy A. Kohout
This figure shows the co-authorship network connecting the top 25 collaborators of Trudy A. Kohout. A scholar is included among the top collaborators of Trudy A. Kohout 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 Trudy A. Kohout. Trudy A. Kohout is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 26 | |
| 5 | 29 | |
| 6 | 51 | |
| 7 | 42 | |
| 8 | 53 | |
| 9 | 258 | |
| 10 | 418 | |
| 11 | 329 | |
| 12 | 92 | |
| 13 | 44 | |
| 14 | 147 | |
| 15 | 23 | |
| 16 | Targeting of Cyclic AMP Degradation to β 2 -Adrenergic Receptors by β-Arrestinsbreakdown → | 390 |
| 17 | 58 | |
| 18 | 31 | |
| 19 | 27 | |
| 20 | 48 |
About Trudy A. Kohout
Trudy A. Kohout is a scholar working on Reproductive Medicine, Cellular and Molecular Neuroscience and Molecular Biology, having authored 34 papers that have together received 3.8k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (22 papers), Neuropeptides and Animal Physiology (13 papers) and Protein Kinase Regulation and GTPase Signaling (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.6k citations), Molecular Biology (3.1k citations) and Cell Biology (352 citations). Trudy A. Kohout has collaborated with scholars based in United States, United Kingdom and Denmark. Frequent co-authors include Robert J. Lefkowitz, Patricia McDonald, Sudha K. Shenoy, Stephen J. Perry, Graciela Piñeyro, Stéphane Angers, Mounia Azzi, Michel Bouvier, Pascale G. Charest and Guy Rousseau. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences 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.