Brian R. DeCosta
- Cellular and Molecular Neuroscience top 5%
- Molecular Biology
- Pathology and Forensic Medicine top 10%
- Physiology
- Behavioral Neuroscience top 5%
- Co-authors
- Michael F. HolickAnn R. WebbDaniel J.J. CarrJ. Edwin BlalockKenner C. RiceArthur E. JacobsonJ H WoodsEduardo R. Butelman
- Topics
- Pharmacological Receptor Mechanisms and Effects (14 papers)Neuropeptides and Animal Physiology (13 papers)Receptor Mechanisms and Signaling (11 papers)
- Journals
- The Journal of ImmunologyAnalytical ChemistryThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- United StatesGermany
In The Last Decade
Brian R. DeCosta
26 papers receiving 978 citations
Peers
Comparison fields: 5 of 101
- Cellular and Molecular Neuroscience 566
- Molecular Biology 510
- Pathology and Forensic Medicine 196
- Physiology 174
- Behavioral Neuroscience 78
Countries citing papers authored by Brian R. DeCosta
This map shows the geographic impact of Brian R. DeCosta'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 Brian R. DeCosta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian R. DeCosta more than expected).
Fields of papers citing papers by Brian R. DeCosta
This network shows the impact of papers produced by Brian R. DeCosta. 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 Brian R. DeCosta. The network helps show where Brian R. DeCosta may publish in the future.
Co-authorship network of co-authors of Brian R. DeCosta
This figure shows the co-authorship network connecting the top 25 collaborators of Brian R. DeCosta. A scholar is included among the top collaborators of Brian R. DeCosta 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 Brian R. DeCosta. Brian R. DeCosta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 23 | |
| 2 | 4 | |
| 3 | 19 | |
| 4 | 78 | |
| 5 | 21 | |
| 6 | 72 | |
| 7 | 2 | |
| 8 | 69 | |
| 9 | 24 | |
| 10 | 20 | |
| 11 | 15 | |
| 12 | 59 | |
| 13 | 27 | |
| 14 | Nor-binaltorphimine is a reversible, noncompetitive opioid antagonist in the mouse vas deferens with high affinity for kappa receptors in monkey brain membranes. | 3 |
| 15 | 1 | |
| 16 | 250 | |
| 17 | 123 | |
| 18 | 80 | |
| 19 | 21 | |
| 20 | 21 |
About Brian R. DeCosta
Brian R. DeCosta is a scholar working on Cellular and Molecular Neuroscience, Biological Psychiatry and Behavioral Neuroscience, having authored 27 papers that have together received 1.0k indexed citations. Recurring topics across this work include Pharmacological Receptor Mechanisms and Effects (14 papers), Neuropeptides and Animal Physiology (13 papers) and Receptor Mechanisms and Signaling (11 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (566 citations), Behavioral Neuroscience (78 citations) and Pathology and Forensic Medicine (196 citations). Brian R. DeCosta has collaborated with scholars based in United States and Germany. Frequent co-authors include Michael F. Holick, Ann R. Webb, Daniel J.J. Carr, J. Edwin Blalock, Kenner C. Rice, Arthur E. Jacobson, J H Woods, Eduardo R. Butelman, Arthur E. Jacobson and Ellen A. Walker. Their work appears in journals such as The Journal of Immunology, Analytical Chemistry and The Journal of Clinical Endocrinology & Metabolism.
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.