Denise S. Simpson
- Molecular Biology
- Cellular and Molecular Neuroscience top 10%
- Physiology
- Organic Chemistry
- Cell Biology
- Co-authors
- Thomas E. PrisinzanoJeffrey AubéJennifer E. GoldenChad E. SchroederChristina M. DerschRichard B. RothmanHelen JacobsKevin Tidgewell
- Topics
- Neuropeptides and Animal Physiology (8 papers)Receptor Mechanisms and Signaling (6 papers)Protein Kinase Regulation and GTPase Signaling (5 papers)
- Partner nations
- United StatesJamaicaCanada
In The Last Decade
Denise S. Simpson
32 papers receiving 692 citations
Peers
Comparison fields: 5 of 101
- Molecular Biology 372
- Cellular and Molecular Neuroscience 226
- Physiology 97
- Organic Chemistry 92
- Cell Biology 74
Countries citing papers authored by Denise S. Simpson
This map shows the geographic impact of Denise S. Simpson'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 Denise S. Simpson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Denise S. Simpson more than expected).
Fields of papers citing papers by Denise S. Simpson
This network shows the impact of papers produced by Denise S. Simpson. 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 Denise S. Simpson. The network helps show where Denise S. Simpson may publish in the future.
Co-authorship network of co-authors of Denise S. Simpson
This figure shows the co-authorship network connecting the top 25 collaborators of Denise S. Simpson. A scholar is included among the top collaborators of Denise S. Simpson 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 Denise S. Simpson. Denise S. Simpson 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 | 16 | |
| 3 | 27 | |
| 4 | 42 | |
| 5 | ML365: Development of Bis-Amides as Selective Inhibitors of the KCNK3/TASK1 Two Pore Potassium Channel | 14 |
| 6 | A small molecule pan-inhibitor of Ras-superfamily GTPases with high efficacy towards Rab7 | 8 |
| 7 | Development of a Selective Chemical Inhibitor for the Two-Pore Potassium Channel, KCNK9 | 7 |
| 8 | 71 | |
| 9 | 53 | |
| 10 | 33 | |
| 11 | 1 | |
| 12 | 16 | |
| 13 | 23 | |
| 14 | 13 | |
| 15 | 16 | |
| 16 | 45 | |
| 17 | 6 | |
| 18 | 19 | |
| 19 | 16 | |
| 20 | 6 |
About Denise S. Simpson
Denise S. Simpson is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cell Biology, having authored 32 papers that have together received 706 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (8 papers), Receptor Mechanisms and Signaling (6 papers) and Protein Kinase Regulation and GTPase Signaling (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (226 citations), Toxicology (37 citations) and Pharmacology (53 citations). Denise S. Simpson has collaborated with scholars based in United States, Jamaica and Canada. Frequent co-authors include Thomas E. Prisinzano, Jeffrey Aubé, Jennifer E. Golden, Chad E. Schroeder, Christina M. Dersch, Richard B. Rothman, Helen Jacobs, Kevin Tidgewell, Laura Bohn and Kenneth Lamb. Their work appears in journals such as PLoS ONE, Journal of Allergy and Clinical Immunology 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.