Brian D. Hudson
Impact in
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- Neuropeptides and Animal Physiology
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- Diabetes Treatment and Management
Papers in
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- Neuropeptides and Animal Physiology 27
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- Receptor Mechanisms and Signaling 44
- Peroxisome Proliferator-Activated Receptors 7
- Co-authors
- Graeme MilliganTrond UlvenBharat ShimpukadeElisabeth ChristiansenMichael E. KellyIrina G. TikhonovaAndrew B. TobinTerence E. Hébert
- Journals
- Journal of Medicinal Chemistry (10 papers)Journal of Biological Chemistry (9 papers)Molecular Pharmacology (7 papers)British Journal of Pharmacology (4 papers)The FASEB Journal (3 papers)
- Partner nations
- United KingdomDenmarkGermany
In The Last Decade
Brian D. Hudson
96 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 133
- Cellular and Molecular Neuroscience 919
- Endocrinology, Diabetes and Metabolism 652
- Molecular Biology 2.2k
- Computational Theory and Mathematics 454
- Biochemistry 205
Countries citing papers authored by Brian D. Hudson
This map shows the geographic impact of Brian D. Hudson'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 D. Hudson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian D. Hudson more than expected).
Fields of papers citing papers by Brian D. Hudson
This network shows the impact of papers produced by Brian D. Hudson. 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 D. Hudson. The network helps show where Brian D. Hudson may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian D. Hudson, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 5 | |
| 5 | 2022 | 18 | |
| 6 | 2021 | 3 | |
| 7 | 2016 | 32 | |
| 8 | 2014 | 30 | |
| 9 | 2014 | 61 | |
| 10 | 2013 | 59 | |
| 11 | 2013 | 94 | |
| 12 | 2012 | 106 | |
| 13 | 2011 | 5 | |
| 14 | 2011 | 31 | |
| 15 | 2011 | 46 | |
| 16 | 2010 | 70 | |
| 17 | Extraction of comprehensible logical rules from neural networks: application of TREPAN in bio and cheminformatics | 2005 | 3 |
| 18 | 1994 | 17 | |
| 19 | The use of experimental and calculated dipole moments in conformational studies of pyrethroids | 1992 | 1 |
| 20 | 1992 | 15 |
About Brian D. Hudson
Brian D. Hudson is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Spectroscopy, Computational Theory and Mathematics and Biochemistry, having authored 98 papers that have together received 3.7k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (44 papers), Neuropeptides and Animal Physiology (27 papers), Computational Drug Discovery Methods (14 papers), Analytical Chemistry and Chromatography (9 papers), Diabetes Treatment and Management (9 papers), Mass Spectrometry Techniques and Applications (9 papers), Cholesterol and Lipid Metabolism (8 papers) and Peroxisome Proliferator-Activated Receptors (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (919 citations), Endocrinology, Diabetes and Metabolism (652 citations), Molecular Biology (2.2k citations), Computational Theory and Mathematics (454 citations) and Biochemistry (205 citations). Brian D. Hudson has collaborated with scholars based in United Kingdom, Denmark and Germany. Frequent co-authors include Graeme Milligan, Trond Ulven, Bharat Shimpukade, Elisabeth Christiansen, Michael E. Kelly, Irina G. Tikhonova, Andrew B. Tobin, Terence E. Hébert, Kenneth R. Watterson and Elisa Alvarez‐Curto. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Biological Chemistry, Molecular Pharmacology, British Journal of Pharmacology and The FASEB Journal.
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.