William Marrs
Impact in
- Pharmacology top 5%
- Cannabis and Cannabinoid Research
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- Neuroscience and Neuropharmacology Research
- Neurotransmitter Receptor Influence on Behavior
- Genetic Neurodegenerative Diseases
Papers in
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- Cannabis and Cannabinoid Research 5
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- Neuroscience and Neuropharmacology Research 3
- Neurotransmitter Receptor Influence on Behavior 2
- Genetic Neurodegenerative Diseases 1
- Co-authors
- Nephi Stella (5 shared papers)Eiron Cudaback (1 shared paper)Eric A. Horne (3 shared papers)Robert H. Roth (1 shared paper)J. David Jentsch (1 shared paper)Susan Fung (2 shared papers)Allison E. Cherry (2 shared papers)Alipi V. Naydenov (2 shared papers)
- Journals
- Neuron (1 paper)Neuropsychopharmacology (1 paper)Journal of Biological Chemistry (1 paper)European Journal of Neuroscience (1 paper)The AAPS Journal (1 paper)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
William Marrs
6 papers receiving 293 citations
Peers
Comparison fields: 5 of 43
- Pharmacology 182
- Cellular and Molecular Neuroscience 148
- Biological Psychiatry 7
- Toxicology 8
- Cognitive Neuroscience 40
Countries citing papers authored by William Marrs
This map shows the geographic impact of William Marrs'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 William Marrs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Marrs more than expected).
Fields of papers citing papers by William Marrs
This network shows the impact of papers produced by William Marrs. 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 William Marrs. The network helps show where William Marrs may publish in the future.
Co-authors
The 25 scholars most cited alongside William Marrs, 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 | 2014 | 93 | |
| 2 | 2010 | 70 | |
| 3 | 2005 | 49 | |
| 4 | 2012 | 41 | |
| 5 | 2011 | 37 | |
| 6 | 2009 | 6 |
About William Marrs
William Marrs is a scholar working on Pharmacology, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Molecular Biology and Endocrinology, Diabetes and Metabolism, having authored 6 papers that have together received 296 indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (5 papers), Neuroscience and Neuropharmacology Research (3 papers), Neurotransmitter Receptor Influence on Behavior (2 papers), Sleep and Wakefulness Research (2 papers), Receptor Mechanisms and Signaling (1 paper), Diet, Metabolism, and Disease (1 paper), Genetic Neurodegenerative Diseases (1 paper) and GABA and Rice Research (1 paper). The work is most often cited by research in Pharmacology (182 citations), Cellular and Molecular Neuroscience (148 citations), Biological Psychiatry (7 citations), Toxicology (8 citations) and Cognitive Neuroscience (40 citations). William Marrs has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Nephi Stella, Eiron Cudaback, Eric A. Horne, Robert H. Roth, J. David Jentsch, Susan Fung, Allison E. Cherry, Alipi V. Naydenov, Yi Hsing Lin and Benjamin F. Cravatt. Their work appears in journals such as Neuron, Neuropsychopharmacology, Journal of Biological Chemistry, European Journal of Neuroscience and The AAPS 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.