Brian J. Holleran
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- Neuropeptides and Animal Physiology 13
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- Receptor Mechanisms and Signaling 20
- Chemical Synthesis and Analysis 6
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- Computational Drug Discovery Methods 4
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- Hormonal Regulation and Hypertension 7
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- Apelin-related biomedical research 4
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- Cardiovascular, Neuropeptides, and Oxidative Stress Research 7
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- Renin-Angiotensin System Studies 4
- Co-authors
- Richard LeducEmanuel EscherGaétan GuillemettePierre LavigneChristophe D. ProulxStéphane MartinVéronique BlaisLouis Gendron
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (6 papers)Nature Communications (1 paper)
- Partner nations
- CanadaUnited StatesBelgium
In The Last Decade
Brian J. Holleran
30 papers receiving 456 citations
Peers
Comparison fields: 5 of 60
- Cellular and Molecular Neuroscience 205
- Molecular Biology 327
- Computational Theory and Mathematics 68
- Endocrinology, Diabetes and Metabolism 69
- Pharmacology 60
Countries citing papers authored by Brian J. Holleran
This map shows the geographic impact of Brian J. Holleran'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 J. Holleran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian J. Holleran more than expected).
Fields of papers citing papers by Brian J. Holleran
This network shows the impact of papers produced by Brian J. Holleran. 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 J. Holleran. The network helps show where Brian J. Holleran may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Brian J. Holleran, 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 | 2024 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 3 | |
| 4 | 2023 | 10 | |
| 5 | 2022 | 10 | |
| 6 | 2019 | 86 | |
| 7 | 2019 | 8 | |
| 8 | 2018 | 13 | |
| 9 | 2018 | 9 | |
| 10 | 2015 | 28 | |
| 11 | 2015 | 26 | |
| 12 | 2014 | 4 | |
| 13 | 2013 | 9 | |
| 14 | 2012 | 16 | |
| 15 | 2009 | 15 | |
| 16 | 2009 | 12 | |
| 17 | 2009 | 10 | |
| 18 | 2009 | 14 | |
| 19 | 2008 | 21 | |
| 20 | 2007 | 32 |
About Brian J. Holleran
Brian J. Holleran is a scholar working on Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism and Molecular Biology, having authored 30 papers that have together received 457 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (20 papers), Neuropeptides and Animal Physiology (13 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (7 papers), Hormonal Regulation and Hypertension (7 papers), Chemical Synthesis and Analysis (6 papers), Computational Drug Discovery Methods (4 papers), Apelin-related biomedical research (4 papers) and Renin-Angiotensin System Studies (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (205 citations), Molecular Biology (327 citations) and Computational Theory and Mathematics (68 citations). Brian J. Holleran has collaborated with scholars based in Canada, United States and Belgium. Frequent co-authors include Richard Leduc, Emanuel Escher, Gaétan Guillemette, Pierre Lavigne, Christophe D. Proulx, Stéphane Martin, Véronique Blais, Louis Gendron, Marie-Ève Beaulieu and Kate L. White. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.
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.