B.G. Tehan
Impact in
- Physiology top 1%
- Adenosine and Purinergic Signaling
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- Neuropeptides and Animal Physiology
- Neuroscience and Neuropharmacology Research
Papers in
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- Receptor Mechanisms and Signaling 7
- Protein Tyrosine Phosphatases 1
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- Neuropeptides and Animal Physiology 5
- Neuroscience and Neuropharmacology Research 4
- Co-authors
- Fiona H. Marshall (3 shared papers)James C. Errey (2 shared papers)A.S. Dore (2 shared papers)Malcolm Weir (2 shared papers)K.A. Bennett (2 shared papers)Francesca Magnani (1 shared paper)Kaspar Hollenstein (1 shared paper)Miles Congreve (1 shared paper)
- Journals
- Molecular Pharmacology (3 papers)ACS Medicinal Chemistry Letters (1 paper)Bioorganic & Medicinal Chemistry Letters (1 paper)Structure (1 paper)Nature (1 paper)
- Partner nations
- United KingdomAustraliaItaly
In The Last Decade
B.G. Tehan
11 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 80
- Physiology 209
- Cellular and Molecular Neuroscience 591
- Molecular Biology 1.0k
- Computational Theory and Mathematics 176
- Radiology, Nuclear Medicine and Imaging 141
Countries citing papers authored by B.G. Tehan
This map shows the geographic impact of B.G. Tehan'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 B.G. Tehan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites B.G. Tehan more than expected).
Fields of papers citing papers by B.G. Tehan
This network shows the impact of papers produced by B.G. Tehan. 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 B.G. Tehan. The network helps show where B.G. Tehan may publish in the future.
Co-authors
The 25 scholars most cited alongside B.G. Tehan, 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 | 2011 | 453 | |
| 2 | 2014 | 324 | |
| 3 | 2013 | 96 | |
| 4 | 2015 | 64 | |
| 5 | 2010 | 59 | |
| 6 | 2008 | 42 | |
| 7 | 2010 | 40 | |
| 8 | 2007 | 37 | |
| 9 | 2010 | 16 | |
| 10 | 2012 | 7 | |
| 11 | 2003 | 4 |
About B.G. Tehan
B.G. Tehan is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Organic Chemistry and Surgery, having authored 11 papers that have together received 1.1k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (7 papers), Neuropeptides and Animal Physiology (5 papers), Neuroscience and Neuropharmacology Research (4 papers), Adenosine and Purinergic Signaling (2 papers), Pancreatic function and diabetes (1 paper), Protein Tyrosine Phosphatases (1 paper), Computational Drug Discovery Methods (1 paper) and Gastrointestinal motility and disorders (1 paper). The work is most often cited by research in Physiology (209 citations), Cellular and Molecular Neuroscience (591 citations), Molecular Biology (1.0k citations), Computational Theory and Mathematics (176 citations) and Radiology, Nuclear Medicine and Imaging (141 citations). B.G. Tehan has collaborated with scholars based in United Kingdom, Australia and Italy. Frequent co-authors include Fiona H. Marshall, James C. Errey, A.S. Dore, Malcolm Weir, K.A. Bennett, Francesca Magnani, Kaspar Hollenstein, Miles Congreve, N.J. Robertson and Irene W. Ng. Their work appears in journals such as Molecular Pharmacology, ACS Medicinal Chemistry Letters, Bioorganic & Medicinal Chemistry Letters, Structure and Nature.
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.