Jeffrey D. Daubert
- Cellular and Molecular Neuroscience top 5%
- Molecular Biology
- Physiology top 10%
- Surgery
- Anesthesiology and Pain Medicine top 10%
- Co-authors
- Robert N. DeHavenJoel CasselErik ManssonDiane L. DeHaven‐HudkinsHalina MachelskaChristoph SteinJohannes WeberTony L. Yaksh
- Topics
- Neuropeptides and Animal Physiology (13 papers)Receptor Mechanisms and Signaling (10 papers)Pain Mechanisms and Treatments (6 papers)
- Journals
- FEBS LettersJournal of Medicinal ChemistryJournal of Pharmacology and Experimental Therapeutics
- Partner nations
- United States
In The Last Decade
Jeffrey D. Daubert
16 papers receiving 491 citations
Peers
Comparison fields: 5 of 63
- Cellular and Molecular Neuroscience 316
- Molecular Biology 264
- Physiology 199
- Surgery 53
- Anesthesiology and Pain Medicine 39
Countries citing papers authored by Jeffrey D. Daubert
This map shows the geographic impact of Jeffrey D. Daubert'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 Jeffrey D. Daubert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey D. Daubert more than expected).
Fields of papers citing papers by Jeffrey D. Daubert
This network shows the impact of papers produced by Jeffrey D. Daubert. 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 Jeffrey D. Daubert. The network helps show where Jeffrey D. Daubert may publish in the future.
Co-authorship network of co-authors of Jeffrey D. Daubert
This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey D. Daubert. A scholar is included among the top collaborators of Jeffrey D. Daubert 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 Jeffrey D. Daubert. Jeffrey D. Daubert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 2 | |
| 3 | 11 | |
| 4 | 59 | |
| 5 | 17 | |
| 6 | 9 | |
| 7 | 23 | |
| 8 | 21 | |
| 9 | 15 | |
| 10 | 26 | |
| 11 | Peripheral effects of the kappa-opioid agonist EMD 61753 on pain and inflammation in rats and humans. | 79 |
| 12 | 43 | |
| 13 | 130 | |
| 14 | 46 | |
| 15 | 15 | |
| 16 | 4 |
About Jeffrey D. Daubert
Jeffrey D. Daubert is a scholar working on Cellular and Molecular Neuroscience, Physiology and Anesthesiology and Pain Medicine, having authored 16 papers that have together received 504 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (13 papers), Receptor Mechanisms and Signaling (10 papers) and Pain Mechanisms and Treatments (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (316 citations), Physiology (199 citations) and Anesthesiology and Pain Medicine (39 citations). Jeffrey D. Daubert has collaborated with scholars based in United States. Frequent co-authors include Robert N. DeHaven, Joel Cassel, Erik Mansson, Diane L. DeHaven‐Hudkins, Halina Machelska, Christoph Stein, Johannes Weber, Tony L. Yaksh, George Yü and Hiroshi Nagasaka. Their work appears in journals such as FEBS Letters, Journal of Medicinal Chemistry and Journal of Pharmacology and Experimental Therapeutics.
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.