Samuel Barbieri
Impact in
- Neurology top 1%
- Parkinson's Disease Mechanisms and Treatments
- Neurological disorders and treatments
- Neurological diseases and metabolism
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- Nuclear Receptors and Signaling
- Nerve injury and regeneration
- Neuroscience and Neuropharmacology Research
- Genetic Neurodegenerative Diseases
Papers in
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- Nuclear Receptors and Signaling 3
- Nerve injury and regeneration 2
- Neuroscience and Neuropharmacology Research 2
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- Parkinson's Disease Mechanisms and Treatments 5
- Neurological diseases and metabolism 2
- Co-authors
- Simone Danner (5 shared papers)Herman van der Putten (5 shared papers)Markus A. Rüegg (4 shared papers)A. Probst (4 shared papers)Bernd Sommer (4 shared papers)Katja Hofele (4 shared papers)Karl‐Heinz Wiederhold (4 shared papers)Markus Tolnay (4 shared papers)
- Journals
- Advances in experimental medicine and biology (1 paper)Journal of Neuroscience (1 paper)Journal of Biological Chemistry (1 paper)genesis (1 paper)Neuron (1 paper)
- Partner nations
- SwitzerlandDenmarkJapan
In The Last Decade
Samuel Barbieri
10 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 70
- Neurology 799
- Cellular and Molecular Neuroscience 883
- Neurology 218
- Physiology 282
- Developmental Neuroscience 44
Countries citing papers authored by Samuel Barbieri
This map shows the geographic impact of Samuel Barbieri'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 Samuel Barbieri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuel Barbieri more than expected).
Fields of papers citing papers by Samuel Barbieri
This network shows the impact of papers produced by Samuel Barbieri. 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 Samuel Barbieri. The network helps show where Samuel Barbieri may publish in the future.
Co-authors
The 25 scholars most cited alongside Samuel Barbieri, 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 | 2000 | 420 | |
| 2 | 2000 | 393 | |
| 3 | 2006 | 244 | |
| 4 | 2011 | 87 | |
| 5 | 2013 | 79 | |
| 6 | 2004 | 50 | |
| 7 | 2000 | 33 | |
| 8 | 2008 | 26 | |
| 9 | 2017 | 14 | |
| 10 | 2001 | 6 |
About Samuel Barbieri
Samuel Barbieri is a scholar working on Cellular and Molecular Neuroscience, Neurology, Nutrition and Dietetics, Molecular Biology and Neurology, having authored 10 papers that have together received 1.4k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (5 papers), Nuclear Receptors and Signaling (3 papers), Neurological diseases and metabolism (2 papers), Nerve injury and regeneration (2 papers), Biochemical Analysis and Sensing Techniques (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Receptor Mechanisms and Signaling (2 papers) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Neurology (799 citations), Cellular and Molecular Neuroscience (883 citations), Neurology (218 citations), Physiology (282 citations) and Developmental Neuroscience (44 citations). Samuel Barbieri has collaborated with scholars based in Switzerland, Denmark and Japan. Frequent co-authors include Simone Danner, Herman van der Putten, Markus A. Rüegg, A. Probst, Bernd Sommer, Katja Hofele, Karl‐Heinz Wiederhold, Markus Tolnay, Claudia Mistl and Graeme Bilbe. Their work appears in journals such as Advances in experimental medicine and biology, Journal of Neuroscience, Journal of Biological Chemistry, genesis and Neuron.
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.