Carmen Dessauer
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- Neuroscience and Neuropharmacology Research 22
- Neuropeptides and Animal Physiology 10
- Physiology top 0.5%
- Pain Mechanisms and Treatments 12
- Molecular Biology top 1%
- Receptor Mechanisms and Signaling 44
- Ion channel regulation and function 32
- Protein Kinase Regulation and GTPase Signaling 29
- Phosphodiesterase function and regulation 19
- Sensory Systems top 2%
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- Cardiac electrophysiology and arrhythmias 18
- Co-authors
- Alfred G. GilmanRoger K. SunaharaRachna SadanaNathan DascalJohn D. ScottBao Tran NguyenJohn H. KehrlSrikumar Sinnarajah
- Journals
- Journal of Biological Chemistry (26 papers)Molecular Pharmacology (7 papers)The Journal of Physiology (5 papers)
- Partner nations
- United StatesIsraelGermany
In The Last Decade
Carmen Dessauer
100 papers receiving 5.7k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Cellular and Molecular Neuroscience 1.7k
- Physiology 321
- Molecular Biology 4.5k
- Sensory Systems 204
- Cardiology and Cardiovascular Medicine 757
Countries citing papers authored by Carmen Dessauer
This map shows the geographic impact of Carmen Dessauer'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 Carmen Dessauer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carmen Dessauer more than expected).
Fields of papers citing papers by Carmen Dessauer
This network shows the impact of papers produced by Carmen Dessauer. 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 Carmen Dessauer. The network helps show where Carmen Dessauer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Carmen Dessauer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 1 | |
| 5 | 2022 | 13 | |
| 6 | 2022 | 23 | |
| 7 | 2022 | 10 | |
| 8 | 2020 | 18 | |
| 9 | 2019 | 28 | |
| 10 | 2019 | 20 | |
| 11 | 2017 | 57 | |
| 12 | 2017 | 44 | |
| 13 | 2017 | 154 | |
| 14 | 2016 | 53 | |
| 15 | 2015 | 12 | |
| 16 | 2015 | 27 | |
| 17 | 2004 | 55 | |
| 18 | 2003 | 62 | |
| 19 | 2001 | 45 | |
| 20 | 1997 | 113 |
About Carmen Dessauer
Carmen Dessauer is a scholar working on Cellular and Molecular Neuroscience, Physiology and Molecular Biology, having authored 104 papers that have together received 5.8k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (44 papers), Ion channel regulation and function (32 papers), Protein Kinase Regulation and GTPase Signaling (29 papers), Neuroscience and Neuropharmacology Research (22 papers), Phosphodiesterase function and regulation (19 papers), Cardiac electrophysiology and arrhythmias (18 papers), Pain Mechanisms and Treatments (12 papers) and Neuropeptides and Animal Physiology (10 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.7k citations), Physiology (321 citations) and Molecular Biology (4.5k citations). Carmen Dessauer has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include Alfred G. Gilman, Roger K. Sunahara, Rachna Sadana, Nathan Dascal, John D. Scott, Bao Tran Nguyen, John H. Kehrl, Srikumar Sinnarajah, J.J.G. Tesmer and Stephen R. Sprang. Their work appears in journals such as Journal of Biological Chemistry, Molecular Pharmacology, The Journal of Physiology, Proceedings of the National Academy of Sciences and Journal of Neuroscience.
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.