Rubén Vidal
- Neurology top 0.5%
- Neurological diseases and metabolism 29
- Physiology top 0.2%
- Alzheimer's disease research and treatments 72
- Neurology top 0.5%
- Neurological diseases and metabolism 29
- Molecular Biology top 2%
- Prion Diseases and Protein Misfolding 31
- Amyloidosis: Diagnosis, Treatment, Outcomes 24
- Porphyrin Metabolism and Disorders 8
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- Iron Metabolism and Disorders 15
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- Cholinesterase and Neurodegenerative Diseases 14
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- Computational Drug Discovery Methods 9
- Co-authors
- Bernardino GhettiHolly J. GarringerBlas FrangioneAlexey G. MurzinMichel GoedertSjors H. W. ScheresJorge GhisoBenjamin Falcon
- Cited by
- NeurologyPhysiologyMolecular Biology
- Journals
- Acta Neuropathologica (9 papers)Nature (8 papers)Journal of Biological Chemistry (5 papers)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Rubén Vidal
130 papers receiving 7.2k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Neurology 1.5k
- Physiology 3.9k
- Neurology 1.3k
- Molecular Biology 3.9k
- Cellular and Molecular Neuroscience 936
Countries citing papers authored by Rubén Vidal
This map shows the geographic impact of Rubén Vidal'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 Rubén Vidal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rubén Vidal more than expected).
Fields of papers citing papers by Rubén Vidal
This network shows the impact of papers produced by Rubén Vidal. 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 Rubén Vidal. The network helps show where Rubén Vidal may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rubén Vidal, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 8 | |
| 5 | 2024 | 7 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 38 | |
| 8 | 2023 | 72 | |
| 9 | 2023 | 23 | |
| 10 | 2023 | 3 | |
| 11 | 2023 | 10 | |
| 12 | 2022 | 9 | |
| 13 | 2022 | 8 | |
| 14 | 2021 | 11 | |
| 15 | Novel tau filament fold in chronic traumatic encephalopathy encloses hydrophobic molecules | 2019 | 1 |
| 16 | Systemic and cerebral iron homeostasis in ferritin knock-out mice | 2015 | 3 |
| 17 | 2014 | 14 | |
| 18 | 2011 | 284 | |
| 19 | 2010 | 46 | |
| 20 | Familial cerebral amyloid angiopathy related to stroke and dementia. | 2001 | 23 |
About Rubén Vidal
Rubén Vidal is a scholar working on Neurology, Physiology, Hematology, Microbiology and Neurology, having authored 134 papers that have together received 7.3k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (72 papers), Prion Diseases and Protein Misfolding (31 papers), Neurological diseases and metabolism (29 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (24 papers), Iron Metabolism and Disorders (15 papers), Cholinesterase and Neurodegenerative Diseases (14 papers), Computational Drug Discovery Methods (9 papers) and Porphyrin Metabolism and Disorders (8 papers). The work is most often cited by research in Neurology (1.5k citations), Physiology (3.9k citations), Neurology (1.3k citations), Molecular Biology (3.9k citations) and Cellular and Molecular Neuroscience (936 citations). Rubén Vidal has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Bernardino Ghetti, Holly J. Garringer, Blas Frangione, Alexey G. Murzin, Michel Goedert, Sjors H. W. Scheres, Jorge Ghiso, Benjamin Falcon, Wenjuan Zhang and Barry B. Muhoberac. Their work appears in journals such as Acta Neuropathologica, Nature, Journal of Biological Chemistry, Alzheimer s & Dementia and American Journal Of Pathology.
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.