Brian F. O’Dowd
- Cellular and Molecular Neuroscience top 0.05%
- Neuropeptides and Animal Physiology 79
- Neurotransmitter Receptor Influence on Behavior 64
- Neuroscience and Neuropharmacology Research 32
- Endocrine and Autonomic Systems top 0.5%
- Molecular Biology top 0.2%
- Receptor Mechanisms and Signaling 137
- Pharmacological Receptor Mechanisms and Effects 11
- Pharmacology top 0.1%
- Physiology top 0.2%
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- Cardiovascular, Neuropeptides, and Oxidative Stress Research 8
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- Monoclonal and Polyclonal Antibodies Research 8
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- Biochemical Analysis and Sensing Techniques 8
Brian F. O’Dowd
187 papers receiving 18.8k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Cellular and Molecular Neuroscience 11.1k
- Endocrine and Autonomic Systems 1.3k
- Molecular Biology 11.7k
- Pharmacology 2.7k
- Physiology 632
Countries citing papers authored by Brian F. O’Dowd
This map shows the geographic impact of Brian F. O’Dowd'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 F. O’Dowd with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian F. O’Dowd more than expected).
Fields of papers citing papers by Brian F. O’Dowd
This network shows the impact of papers produced by Brian F. O’Dowd. 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 F. O’Dowd. The network helps show where Brian F. O’Dowd may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Brian F. O’Dowd, 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 | 2013 | 128 | |
| 2 | 2011 | 14 | |
| 3 | 2010 | 77 | |
| 4 | 2009 | 214 | |
| 5 | 2007 | 12 | |
| 6 | 2007 | 69 | |
| 7 | 2006 | 379 | |
| 8 | G protein-coupled receptor-protein interactions | 2005 | 22 |
| 9 | 2004 | 44 | |
| 10 | 2003 | 59 | |
| 11 | 2002 | 57 | |
| 12 | 2001 | 96 | |
| 13 | 2001 | 170 | |
| 14 | 2000 | 112 | |
| 15 | 1999 | 94 | |
| 16 | 1996 | 40 | |
| 17 | 1993 | 35 | |
| 18 | 1993 | 72 | |
| 19 | 1991 | 29 | |
| 20 | 1990 | 42 |
About Brian F. O’Dowd
Brian F. O’Dowd is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Endocrine and Autonomic Systems, having authored 187 papers that have together received 19.2k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (137 papers), Neuropeptides and Animal Physiology (79 papers), Neurotransmitter Receptor Influence on Behavior (64 papers), Neuroscience and Neuropharmacology Research (32 papers), Pharmacological Receptor Mechanisms and Effects (11 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (8 papers), Monoclonal and Polyclonal Antibodies Research (8 papers) and Biochemical Analysis and Sensing Techniques (8 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (11.1k citations), Endocrine and Autonomic Systems (1.3k citations) and Molecular Biology (11.7k citations). Brian F. O’Dowd has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Susan R. George, Tuan Nguyen, Regina Cheng, Robert J. Lefkowitz, Marc G. Caron, Samuel P. Lee, Philip Seeman, Michel Bouvier, Gordon Ng and Theresa Fan. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.