Fabíola M. Ribeiro
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- Neuroscience and Neuropharmacology Research 44
- Genetic Neurodegenerative Diseases 21
- Biological Psychiatry top 2%
- Neurology top 2%
- Neuroinflammation and Neurodegeneration Mechanisms 10
- Pharmacology top 1%
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- Mitochondrial Function and Pathology 14
- Ion channel regulation and function 10
- Receptor Mechanisms and Signaling 10
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- Alzheimer's disease research and treatments 10
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- Mosquito-borne diseases and control 7
- Co-authors
- Isabella G. OlmoTalita H. Ferreira‐VieiraFlávia Rodrigues da SilvaStephen S. G. FergusonLuciene Bruno VieiraSean P. CreganMaryse PaquetRita Gomes Wanderley Pires
- Journals
- Journal of Biological Chemistry (3 papers)Nature Materials (1 paper)Journal of Neuroscience (2 papers)
- Partner nations
- BrazilCanadaUnited States
In The Last Decade
Fabíola M. Ribeiro
86 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Cellular and Molecular Neuroscience 1.5k
- Biological Psychiatry 192
- Neurology 472
- Pharmacology 770
- Complementary and alternative medicine 280
Countries citing papers authored by Fabíola M. Ribeiro
This map shows the geographic impact of Fabíola M. Ribeiro'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 Fabíola M. Ribeiro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabíola M. Ribeiro more than expected).
Fields of papers citing papers by Fabíola M. Ribeiro
This network shows the impact of papers produced by Fabíola M. Ribeiro. 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 Fabíola M. Ribeiro. The network helps show where Fabíola M. Ribeiro may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Fabíola M. Ribeiro, 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 | 2024 | 0 | |
| 2 | 2023 | 5 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 0 | |
| 5 | 2022 | 23 | |
| 6 | 2021 | 5 | |
| 7 | 2021 | 7 | |
| 8 | 2020 | 25 | |
| 9 | 2019 | 11 | |
| 10 | 2019 | 16 | |
| 11 | 2019 | 26 | |
| 12 | 2018 | 84 | |
| 13 | 2018 | 31 | |
| 14 | 2016 | 20 | |
| 15 | 2015 | 33 | |
| 16 | 2014 | 53 | |
| 17 | 2013 | 38 | |
| 18 | 2010 | 74 | |
| 19 | 2010 | 15 | |
| 20 | 2006 | 70 |
About Fabíola M. Ribeiro
Fabíola M. Ribeiro is a scholar working on Cellular and Molecular Neuroscience, Neurology and Biological Psychiatry, having authored 88 papers that have together received 3.7k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (44 papers), Genetic Neurodegenerative Diseases (21 papers), Mitochondrial Function and Pathology (14 papers), Neuroinflammation and Neurodegeneration Mechanisms (10 papers), Alzheimer's disease research and treatments (10 papers), Ion channel regulation and function (10 papers), Receptor Mechanisms and Signaling (10 papers) and Mosquito-borne diseases and control (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.5k citations), Biological Psychiatry (192 citations) and Neurology (472 citations). Fabíola M. Ribeiro has collaborated with scholars based in Brazil, Canada and United States. Frequent co-authors include Isabella G. Olmo, Talita H. Ferreira‐Vieira, Flávia Rodrigues da Silva, Stephen S. G. Ferguson, Luciene Bruno Vieira, Sean P. Cregan, Maryse Paquet, Rita Gomes Wanderley Pires, Antônio Lúcio Teixeira and Jéssica M. de Souza. Their work appears in journals such as Journal of Biological Chemistry, Nature Materials and Journal of Neuroscience.
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.