Eric Erbs
Impact in
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- Neuroscience and Neuropharmacology Research
- Neuropeptides and Animal Physiology
- Neurotransmitter Receptor Influence on Behavior
- Physiology top 5%
- Pain Mechanisms and Treatments
Papers in
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- Receptor Mechanisms and Signaling 10
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- Neuropeptides and Animal Physiology 6
- Neurotransmitter Receptor Influence on Behavior 5
- Neuroscience and Neuropharmacology Research 4
- Co-authors
- Emiliana Borrelli (6 shared papers)Alessandro Usiello (5 shared papers)Audrey Matifas (6 shared papers)Brigitte L. Kieffer (6 shared papers)Diego Centonze (3 shared papers)Pascal Kessler (4 shared papers)Dominique Filliol (2 shared papers)Lauren Faget (5 shared papers)
- Journals
- Journal of Neuroscience (4 papers)Neuroscience (3 papers)Proceedings of the National Academy of Sciences (2 papers)Journal of Biotechnology (1 paper)Nature Metabolism (1 paper)
- Partner nations
- FranceUnited StatesGermany
In The Last Decade
Eric Erbs
19 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 86
- Cellular and Molecular Neuroscience 754
- Physiology 53
- Behavioral Neuroscience 34
- Molecular Biology 675
- Neurology 124
Countries citing papers authored by Eric Erbs
This map shows the geographic impact of Eric Erbs'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 Erbs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Erbs more than expected).
Fields of papers citing papers by Eric Erbs
This network shows the impact of papers produced by Eric Erbs. 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 Erbs. The network helps show where Eric Erbs may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Erbs, 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 | 217 | |
| 2 | 2003 | 200 | |
| 3 | 2003 | 161 | |
| 4 | 2015 | 124 | |
| 5 | 2010 | 115 | |
| 6 | 2004 | 85 | |
| 7 | 2004 | 77 | |
| 8 | 2012 | 76 | |
| 9 | 2019 | 57 | |
| 10 | 2012 | 48 | |
| 11 | 2012 | 36 | |
| 12 | 2023 | 31 | |
| 13 | 2005 | 27 | |
| 14 | 2015 | 18 | |
| 15 | 2023 | 17 | |
| 16 | 2003 | 16 | |
| 17 | 2014 | 14 | |
| 18 | 2016 | 7 | |
| 19 | 2013 | 3 |
About Eric Erbs
Eric Erbs is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Surgery and Epidemiology, having authored 19 papers that have together received 1.3k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (10 papers), Neuropeptides and Animal Physiology (6 papers), Neurotransmitter Receptor Influence on Behavior (5 papers), Neuroscience and Neuropharmacology Research (4 papers), Pain Mechanisms and Treatments (4 papers), Pancreatic function and diabetes (4 papers), Calcium signaling and nucleotide metabolism (2 papers) and Autophagy in Disease and Therapy (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (754 citations), Physiology (53 citations), Behavioral Neuroscience (34 citations), Molecular Biology (675 citations) and Neurology (124 citations). Eric Erbs has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Emiliana Borrelli, Alessandro Usiello, Audrey Matifas, Brigitte L. Kieffer, Diego Centonze, Pascal Kessler, Dominique Filliol, Lauren Faget, Dominique Massotte and Paolo Calabresi. Their work appears in journals such as Journal of Neuroscience, Neuroscience, Proceedings of the National Academy of Sciences, Journal of Biotechnology and Nature Metabolism.
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.