Mélissa Farinelli
Impact in
- Neurology top 5%
- Neurological diseases and metabolism
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- Neuroscience and Neuropharmacology Research
Papers in
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- Neuroscience and Neuropharmacology Research 9
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- Mitochondrial Function and Pathology 4
- Co-authors
- Isabelle M. Mansuy (4 shared papers)Rita Moos (1 shared paper)Mario Nuvolone (1 shared paper)Adriano Aguzzi (1 shared paper)Jeppe Falsig (1 shared paper)Anna Maria Calella (1 shared paper)Fabrice D. Heitz (3 shared papers)Kyoko Koshibu (2 shared papers)
- Journals
- Journal of Neuroscience (3 papers)EMBO Molecular Medicine (1 paper)Neurobiology of Learning and Memory (1 paper)Neurobiology of Disease (1 paper)Learning & Memory (1 paper)
- Partner nations
- SwitzerlandFranceBelgium
In The Last Decade
Mélissa Farinelli
12 papers receiving 776 citations
Peers
Comparison fields: 5 of 72
- Neurology 145
- Cellular and Molecular Neuroscience 304
- Physiology 289
- Developmental Neuroscience 45
- Behavioral Neuroscience 39
Countries citing papers authored by Mélissa Farinelli
This map shows the geographic impact of Mélissa Farinelli'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 Mélissa Farinelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mélissa Farinelli more than expected).
Fields of papers citing papers by Mélissa Farinelli
This network shows the impact of papers produced by Mélissa Farinelli. 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 Mélissa Farinelli. The network helps show where Mélissa Farinelli may publish in the future.
Co-authors
The 25 scholars most cited alongside Mélissa Farinelli, 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 | 2010 | 214 | |
| 2 | 2009 | 178 | |
| 3 | 2009 | 113 | |
| 4 | 2007 | 106 | |
| 5 | 2006 | 74 | |
| 6 | 2008 | 35 | |
| 7 | 2016 | 19 | |
| 8 | 2012 | 18 | |
| 9 | 2018 | 11 | |
| 10 | 2021 | 8 | |
| 11 | 2022 | 7 | |
| 12 | 2024 | 4 |
About Mélissa Farinelli
Mélissa Farinelli is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Physiology, Cognitive Neuroscience and Neurology, having authored 12 papers that have together received 787 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (9 papers), Mitochondrial Function and Pathology (4 papers), Alzheimer's disease research and treatments (3 papers), Memory and Neural Mechanisms (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Hippo pathway signaling and YAP/TAZ (1 paper), Amyotrophic Lateral Sclerosis Research (1 paper) and Stress Responses and Cortisol (1 paper). The work is most often cited by research in Neurology (145 citations), Cellular and Molecular Neuroscience (304 citations), Physiology (289 citations), Developmental Neuroscience (45 citations) and Behavioral Neuroscience (39 citations). Mélissa Farinelli has collaborated with scholars based in Switzerland, France and Belgium. Frequent co-authors include Isabelle M. Mansuy, Rita Moos, Mario Nuvolone, Adriano Aguzzi, Jeppe Falsig, Anna Maria Calella, Fabrice D. Heitz, Kyoko Koshibu, Roger M. Nitsch and Marlen Knobloch. Their work appears in journals such as Journal of Neuroscience, EMBO Molecular Medicine, Neurobiology of Learning and Memory, Neurobiology of Disease and Learning & Memory.
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.