David A. Daunt
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 5%
- Physiology top 10%
- Surgery
- Small Animals top 2%
- Co-authors
- Brian K. KobilkaRichard E. LinkGregory S. BarshMark von ZastrowSheila FlavahanMaqsood A. ChotaniSrabani MitraNicholas A. Flavahan
- Topics
- Receptor Mechanisms and Signaling (8 papers)Pharmacological Effects and Assays (6 papers)Veterinary Pharmacology and Anesthesia (5 papers)
- Journals
- Journal of Biological ChemistryBiochemical and Biophysical Research CommunicationsBiochemical Pharmacology
- Partner nations
- United StatesSwitzerlandCzechia
In The Last Decade
David A. Daunt
20 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 87
- Molecular Biology 741
- Cellular and Molecular Neuroscience 515
- Physiology 228
- Surgery 159
- Small Animals 145
Countries citing papers authored by David A. Daunt
This map shows the geographic impact of David A. Daunt'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 David A. Daunt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David A. Daunt more than expected).
Fields of papers citing papers by David A. Daunt
This network shows the impact of papers produced by David A. Daunt. 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 David A. Daunt. The network helps show where David A. Daunt may publish in the future.
Co-authorship network of co-authors of David A. Daunt
This figure shows the co-authorship network connecting the top 25 collaborators of David A. Daunt. A scholar is included among the top collaborators of David A. Daunt 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 David A. Daunt. David A. Daunt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 31 | |
| 2 | Magnetic resonance imaging and surgical repair of cleft palate in a four-week-old canine (Canis familiaris): an animal model for cleft palate repair. | 2 |
| 3 | A porcine model for endolaparoscopic abdominal aortic repair and endoscopic training. | 5 |
| 4 | 42 | |
| 5 | 1 | |
| 6 | 40 | |
| 7 | 217 | |
| 8 | 144 | |
| 9 | 166 | |
| 10 | 42 | |
| 11 | 142 | |
| 12 | 27 | |
| 13 | alpha 2-Adrenergic agonist receptors, sites, and mechanisms of action | 2 |
| 14 | 11 | |
| 15 | 139 | |
| 16 | 78 | |
| 17 | 131 | |
| 18 | 13 | |
| 19 | 12 | |
| 20 | 19 |
About David A. Daunt
David A. Daunt is a scholar working on Equine, Small Animals and Animal Science and Zoology, having authored 20 papers that have together received 1.3k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (8 papers), Pharmacological Effects and Assays (6 papers) and Veterinary Pharmacology and Anesthesia (5 papers). The work is most often cited by research in Equine (88 citations), Cellular and Molecular Neuroscience (515 citations) and Small Animals (145 citations). David A. Daunt has collaborated with scholars based in United States, Switzerland and Czechia. Frequent co-authors include Brian K. Kobilka, Richard E. Link, Gregory S. Barsh, Mark von Zastrow, Sheila Flavahan, Maqsood A. Chotani, Srabani Mitra, Nicholas A. Flavahan, Carl M. Hurt and Andrzej Chruscinski. Their work appears in journals such as Journal of Biological Chemistry, Biochemical and Biophysical Research Communications and Biochemical Pharmacology.
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.