Eric Erbs
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- Neuropeptides and Animal Physiology 6
- Neurotransmitter Receptor Influence on Behavior 5
- Neuroscience and Neuropharmacology Research 4
- Physiology top 5%
- Pain Mechanisms and Treatments 4
- Calcium signaling and nucleotide metabolism 2
- Behavioral Neuroscience top 10%
- Molecular Biology top 10%
- Receptor Mechanisms and Signaling 10
- Cognitive Neuroscience top 10%
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- Pancreatic function and diabetes 4
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- Autophagy in Disease and Therapy 2
- Co-authors
- Emiliana BorrelliAlessandro UsielloAudrey MatifasBrigitte L. KiefferDiego CentonzePascal KesslerDominique FilliolDominique Massotte
- Journals
- Journal of Neuroscience (4 papers)Neuroscience (3 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- FranceUnited StatesItaly
In The Last Decade
Eric Erbs
19 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 89
- Cellular and Molecular Neuroscience 772
- Physiology 55
- Behavioral Neuroscience 39
- Molecular Biology 694
- Cognitive Neuroscience 160
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-authorship network
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 | 2023 | 11 | |
| 2 | 2023 | 23 | |
| 3 | 2019 | 54 | |
| 4 | 2016 | 6 | |
| 5 | 2015 | 17 | |
| 6 | 2015 | 122 | |
| 7 | 2014 | 213 | |
| 8 | 2014 | 13 | |
| 9 | 2013 | 3 | |
| 10 | 2012 | 73 | |
| 11 | 2012 | 34 | |
| 12 | 2012 | 43 | |
| 13 | 2010 | 111 | |
| 14 | 2005 | 26 | |
| 15 | 2004 | 79 | |
| 16 | 2004 | 75 | |
| 17 | 2003 | 188 | |
| 18 | 2003 | 156 | |
| 19 | 2003 | 16 |
About Eric Erbs
Eric Erbs is a scholar working on Cellular and Molecular Neuroscience, Physiology and Developmental Neuroscience, 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), Pain Mechanisms and Treatments (4 papers), Neuroscience and Neuropharmacology Research (4 papers), Pancreatic function and diabetes (4 papers), Autophagy in Disease and Therapy (2 papers) and Calcium signaling and nucleotide metabolism (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (772 citations), Physiology (55 citations) and Behavioral Neuroscience (39 citations). Eric Erbs has collaborated with scholars based in France, United States and Italy. Frequent co-authors include Emiliana Borrelli, Alessandro Usiello, Audrey Matifas, Brigitte L. Kieffer, Diego Centonze, Pascal Kessler, Dominique Filliol, Dominique Massotte, Giorgio Bernardi and Paolo Calabresi. Their work appears in journals such as Journal of Neuroscience, Neuroscience, Proceedings of the National Academy of Sciences, Science Immunology and Cell Death and Disease.
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.