Shane M. Wilkinson
- Toxicology top 0.2%
- Forensic Toxicology and Drug Analysis 5
- Pharmacology top 2%
- Cannabis and Cannabinoid Research 6
- Physiology top 5%
- Adenosine and Purinergic Signaling 4
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- Neurotransmitter Receptor Influence on Behavior 5
- Biological Psychiatry top 10%
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- Pharmacological Receptor Mechanisms and Effects 4
- Receptor Mechanisms and Signaling 3
- Glycosylation and Glycoproteins Research 2
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- Various Chemistry Research Topics 3
- Co-authors
- Michael KassiouPedro CuatrecasasJ E NiedelSamuel D. BanisterIain S. McGregorJordyn StuartMark ConnorMitchell Longworth
- Cited by
- ToxicologyPharmacologyPhysiology
- Journals
- Journal of Biological Chemistry (1 paper)PLoS ONE (2 papers)Biochemical and Biophysical Research Communications (1 paper)
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
Shane M. Wilkinson
26 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 118
- Toxicology 407
- Pharmacology 422
- Physiology 95
- Cellular and Molecular Neuroscience 356
- Biological Psychiatry 46
Countries citing papers authored by Shane M. Wilkinson
This map shows the geographic impact of Shane M. Wilkinson'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 Shane M. Wilkinson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shane M. Wilkinson more than expected).
Fields of papers citing papers by Shane M. Wilkinson
This network shows the impact of papers produced by Shane M. Wilkinson. 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 Shane M. Wilkinson. The network helps show where Shane M. Wilkinson may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shane M. Wilkinson, 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 | 2022 | 7 | |
| 2 | 2021 | 7 | |
| 3 | 2018 | 10 | |
| 4 | 2017 | 31 | |
| 5 | 2017 | 44 | |
| 6 | 2016 | 8 | |
| 7 | 2015 | 14 | |
| 8 | 2015 | 168 | |
| 9 | 2015 | 49 | |
| 10 | 2014 | 31 | |
| 11 | 2014 | 118 | |
| 12 | 2013 | 78 | |
| 13 | 2013 | 77 | |
| 14 | 2012 | 51 | |
| 15 | 2012 | 12 | |
| 16 | 2011 | 18 | |
| 17 | 2008 | 34 | |
| 18 | 2008 | 27 | |
| 19 | 1979 | 49 | |
| 20 | 1979 | 213 |
About Shane M. Wilkinson
Shane M. Wilkinson is a scholar working on Toxicology, Physiology and Biological Psychiatry, having authored 26 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (6 papers), Neurotransmitter Receptor Influence on Behavior (5 papers), Forensic Toxicology and Drug Analysis (5 papers), Pharmacological Receptor Mechanisms and Effects (4 papers), Adenosine and Purinergic Signaling (4 papers), Receptor Mechanisms and Signaling (3 papers), Various Chemistry Research Topics (3 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Toxicology (407 citations), Pharmacology (422 citations) and Physiology (95 citations). Shane M. Wilkinson has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Michael Kassiou, Pedro Cuatrecasas, J E Niedel, Samuel D. Banister, Iain S. McGregor, Jordyn Stuart, Mark Connor, Mitchell Longworth, Michelle Glass and Corinne Beinat. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and Biochemical and Biophysical Research 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.