Eric A. Horne
Impact in
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- Neuroscience and Neuropharmacology Research
- Neurotransmitter Receptor Influence on Behavior
- Neuroscience and Neural Engineering
- Pharmacology top 5%
- Cannabis and Cannabinoid Research
Papers in
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- Neuroscience and Neuropharmacology Research 9
- Neuroscience and Neural Engineering 3
- Neurotransmitter Receptor Influence on Behavior 2
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- Cannabis and Cannabinoid Research 6
- Co-authors
- Mark L. Dell’Acqua (5 shared papers)Nephi Stella (10 shared papers)Karen E. L. Smith (2 shared papers)Amy N. Abell (1 shared paper)Nancy Lassignal Johnson (1 shared paper)Mark T. Uhlik (1 shared paper)Weiyong Sun (1 shared paper)Gary L. Johnson (1 shared paper)
- Journals
- Journal of Neuroscience (3 papers)Journal of Biological Chemistry (2 papers)Nature Cell Biology (1 paper)Nature Methods (1 paper)European Journal of Cell Biology (1 paper)
- Partner nations
- United StatesUnited KingdomBelgium
In The Last Decade
Eric A. Horne
17 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 94
- Cellular and Molecular Neuroscience 700
- Pharmacology 198
- Cell Biology 172
- Neurology 150
- Molecular Biology 694
Countries citing papers authored by Eric A. Horne
This map shows the geographic impact of Eric A. Horne'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 Eric A. Horne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric A. Horne more than expected).
Fields of papers citing papers by Eric A. Horne
This network shows the impact of papers produced by Eric A. Horne. 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 Eric A. Horne. The network helps show where Eric A. Horne may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric A. Horne, 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 | 2003 | 321 | |
| 2 | 2009 | 308 | |
| 3 | 2002 | 156 | |
| 4 | 2006 | 143 | |
| 5 | 2014 | 96 | |
| 6 | 2007 | 94 | |
| 7 | 2010 | 66 | |
| 8 | 2017 | 46 | |
| 9 | 2012 | 45 | |
| 10 | 2011 | 37 | |
| 11 | 2001 | 36 | |
| 12 | 2011 | 35 | |
| 13 | 2018 | 23 | |
| 14 | 2016 | 23 | |
| 15 | 2020 | 18 | |
| 16 | 2008 | 7 | |
| 17 | 2023 | 1 |
About Eric A. Horne
Eric A. Horne is a scholar working on Cellular and Molecular Neuroscience, Pharmacology, Cell Biology, Molecular Biology and Cognitive Neuroscience, having authored 17 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (9 papers), Cannabis and Cannabinoid Research (6 papers), Neuroscience and Neural Engineering (3 papers), Neurotransmitter Receptor Influence on Behavior (2 papers), Microtubule and mitosis dynamics (2 papers), Signaling Pathways in Disease (2 papers), Receptor Mechanisms and Signaling (2 papers) and Ovarian cancer diagnosis and treatment (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (700 citations), Pharmacology (198 citations), Cell Biology (172 citations), Neurology (150 citations) and Molecular Biology (694 citations). Eric A. Horne has collaborated with scholars based in United States, United Kingdom and Belgium. Frequent co-authors include Mark L. Dell’Acqua, Nephi Stella, Karen E. L. Smith, Amy N. Abell, Nancy Lassignal Johnson, Mark T. Uhlik, Weiyong Sun, Gary L. Johnson, Bruce Daniel Cuevas and Jessica A. Gorski. Their work appears in journals such as Journal of Neuroscience, Journal of Biological Chemistry, Nature Cell Biology, Nature Methods and European Journal of Cell Biology.
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.