Benjamin G. Tehan
Impact in
- Physiology top 2%
- Adenosine and Purinergic Signaling
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- Neuropeptides and Animal Physiology
- Neuroscience and Neuropharmacology Research
Papers in
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- Adenosine and Purinergic Signaling 4
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- Neuropeptides and Animal Physiology 8
- Neuroscience and Neuropharmacology Research 5
- Co-authors
- Fiona H. MarshallJonathan S. MasonMalcolm WeirAndrea BortolatoA.S. DoreMiles CongreveStephen P. AndrewsKaspar Hollenstein
- Journals
- Journal of Medicinal Chemistry (5 papers)MedChemComm (2 papers)Journal of Chemical Information and Modeling (2 papers)Scientific Reports (1 paper)Current Topics in Medicinal Chemistry (1 paper)
- Partner nations
- AustraliaUnited KingdomChina
In The Last Decade
Benjamin G. Tehan
28 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 102
- Physiology 180
- Cellular and Molecular Neuroscience 572
- Computational Theory and Mathematics 324
- Molecular Biology 1.1k
- Hepatology 87
Countries citing papers authored by Benjamin G. Tehan
This map shows the geographic impact of Benjamin 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 Benjamin 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 Benjamin G. Tehan more than expected).
Fields of papers citing papers by Benjamin G. Tehan
This network shows the impact of papers produced by Benjamin 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 Benjamin G. Tehan. The network helps show where Benjamin G. Tehan may publish in the future.
Co-authors
The 25 scholars most cited alongside Benjamin 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 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2021 | 6 | |
| 4 | 2021 | 26 | |
| 5 | 2020 | 7 | |
| 6 | 2019 | 54 | |
| 7 | 2017 | 5 | |
| 8 | 2016 | 12 | |
| 9 | 2016 | 3 | |
| 10 | 2016 | 21 | |
| 11 | 2015 | 33 | |
| 12 | 2015 | 122 | |
| 13 | 2014 | 159 | |
| 14 | 2013 | 123 | |
| 15 | 2013 | 58 | |
| 16 | 2012 | 264 | |
| 17 | 2004 | 93 | |
| 18 | 2002 | 2 | |
| 19 | 2002 | 106 | |
| 20 | 2001 | 8 |
About Benjamin G. Tehan
Benjamin G. Tehan is a scholar working on Physiology, Cellular and Molecular Neuroscience, Spectroscopy, Computational Theory and Mathematics and Endocrine and Autonomic Systems, having authored 28 papers that have together received 1.5k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (20 papers), Neuropeptides and Animal Physiology (8 papers), Neuroscience and Neuropharmacology Research (5 papers), Computational Drug Discovery Methods (5 papers), Pharmacological Receptor Mechanisms and Effects (5 papers), Chemical Synthesis and Analysis (4 papers), Adenosine and Purinergic Signaling (4 papers) and Analytical Chemistry and Chromatography (3 papers). The work is most often cited by research in Physiology (180 citations), Cellular and Molecular Neuroscience (572 citations), Computational Theory and Mathematics (324 citations), Molecular Biology (1.1k citations) and Hepatology (87 citations). Benjamin G. Tehan has collaborated with scholars based in Australia, United Kingdom and China. Frequent co-authors include Fiona H. Marshall, Jonathan S. Mason, Malcolm Weir, Andrea Bortolato, A.S. Dore, Miles Congreve, Stephen P. Andrews, Kaspar Hollenstein, James C. Errey and J.A. Christopher. Their work appears in journals such as Journal of Medicinal Chemistry, MedChemComm, Journal of Chemical Information and Modeling, Scientific Reports and Current Topics in Medicinal Chemistry.
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.