Garth T. Whiteside
- Pharmacology top 0.5%
- Cannabis and Cannabinoid Research 10
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- Neuropeptides and Animal Physiology 11
- Neuroscience and Neuropharmacology Research 10
- Neurotransmitter Receptor Influence on Behavior 7
- Nerve injury and regeneration 4
- Toxicology top 1%
- Physiology top 2%
- Pain Mechanisms and Treatments 19
- Behavioral Neuroscience top 5%
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- Pharmacological Receptor Mechanisms and Effects 8
- Receptor Mechanisms and Signaling 5
- Co-authors
- Rajesh MunglaniLilly MarkJeffrey D. KennedyLiza LeventhalKenneth J. ValenzanoJamie BouletMichelle PearsonJames Harrison
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Garth T. Whiteside
55 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 121
- Pharmacology 1.0k
- Cellular and Molecular Neuroscience 1.1k
- Toxicology 139
- Physiology 896
- Behavioral Neuroscience 95
Countries citing papers authored by Garth T. Whiteside
This map shows the geographic impact of Garth T. Whiteside'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 Garth T. Whiteside with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Garth T. Whiteside more than expected).
Fields of papers citing papers by Garth T. Whiteside
This network shows the impact of papers produced by Garth T. Whiteside. 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 Garth T. Whiteside. The network helps show where Garth T. Whiteside may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Garth T. Whiteside, 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 | 2023 | 1 | |
| 2 | 2013 | 5 | |
| 3 | 2010 | 31 | |
| 4 | 2010 | 182 | |
| 5 | 2010 | 12 | |
| 6 | 2010 | 124 | |
| 7 | 2009 | 51 | |
| 8 | 2009 | 25 | |
| 9 | 2008 | 168 | |
| 10 | 2008 | 10 | |
| 11 | 2007 | 78 | |
| 12 | 2007 | 111 | |
| 13 | 2007 | 27 | |
| 14 | 2006 | 27 | |
| 15 | 2005 | 75 | |
| 16 | 2004 | 137 | |
| 17 | 2004 | 64 | |
| 18 | 2004 | 21 | |
| 19 | 1998 | 29 | |
| 20 | 1998 | 39 |
About Garth T. Whiteside
Garth T. Whiteside is a scholar working on Cellular and Molecular Neuroscience, Pharmacology and Physiology, having authored 58 papers that have together received 2.5k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (19 papers), Neuropeptides and Animal Physiology (11 papers), Neuroscience and Neuropharmacology Research (10 papers), Cannabis and Cannabinoid Research (10 papers), Pharmacological Receptor Mechanisms and Effects (8 papers), Neurotransmitter Receptor Influence on Behavior (7 papers), Receptor Mechanisms and Signaling (5 papers) and Nerve injury and regeneration (4 papers). The work is most often cited by research in Pharmacology (1.0k citations), Cellular and Molecular Neuroscience (1.1k citations) and Toxicology (139 citations). Garth T. Whiteside has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Rajesh Munglani, Lilly Mark, Jeffrey D. Kennedy, Liza Leventhal, Kenneth J. Valenzano, Jamie Boulet, Michelle Pearson, James Harrison, Peimin Lu and Susan L. Gottshall. Their work appears in journals such as Journal of Clinical Investigation, PLoS ONE and Brain Research.
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.