Marta Querol‐Vilaseca
Impact in
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
- Amyotrophic Lateral Sclerosis Research
- Parkinson's Disease Mechanisms and Treatments
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- Tryptophan and brain disorders
Papers in
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- Alzheimer's disease research and treatments 6
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- S100 Proteins and Annexins 1
- Prion Diseases and Protein Misfolding 1
- Co-authors
- Alberto Lleó (10 shared papers)Jordi Pegueroles (7 shared papers)Jordi Clarimón (6 shared papers)Juan Fortea (9 shared papers)Olivia Belbin (8 shared papers)Martí Colom‐Cadena (2 shared papers)Laia Muñoz (4 shared papers)Daniel Alcolea (4 shared papers)
- Journals
- Neuropathology and Applied Neurobiology (2 papers)Alzheimer s & Dementia (2 papers)Scientific Reports (2 papers)Molecular Neurodegeneration (1 paper)Journal of Neuroinflammation (1 paper)
- Partner nations
- SpainUnited StatesAustria
In The Last Decade
Marta Querol‐Vilaseca
10 papers receiving 286 citations
Peers
Comparison fields: 5 of 58
- Neurology 92
- Biological Psychiatry 18
- Neurology 75
- Physiology 127
- Structural Biology 5
Countries citing papers authored by Marta Querol‐Vilaseca
This map shows the geographic impact of Marta Querol‐Vilaseca'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 Marta Querol‐Vilaseca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marta Querol‐Vilaseca more than expected).
Fields of papers citing papers by Marta Querol‐Vilaseca
This network shows the impact of papers produced by Marta Querol‐Vilaseca. 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 Marta Querol‐Vilaseca. The network helps show where Marta Querol‐Vilaseca may publish in the future.
Co-authors
The 25 scholars most cited alongside Marta Querol‐Vilaseca, 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 | 2017 | 105 | |
| 2 | 2020 | 60 | |
| 3 | 2019 | 58 | |
| 4 | 2019 | 39 | |
| 5 | 2022 | 9 | |
| 6 | 2023 | 5 | |
| 7 | 2022 | 4 | |
| 8 | 2021 | 3 | |
| 9 | 2021 | 3 | |
| 10 | 2022 | 1 |
About Marta Querol‐Vilaseca
Marta Querol‐Vilaseca is a scholar working on Physiology, Molecular Biology, Neurology, Computational Theory and Mathematics and Neurology, having authored 10 papers that have together received 287 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (6 papers), Amyotrophic Lateral Sclerosis Research (2 papers), Computational Drug Discovery Methods (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Dementia and Cognitive Impairment Research (2 papers), Parkinson's Disease Mechanisms and Treatments (1 paper), S100 Proteins and Annexins (1 paper) and Prion Diseases and Protein Misfolding (1 paper). The work is most often cited by research in Neurology (92 citations), Biological Psychiatry (18 citations), Neurology (75 citations), Physiology (127 citations) and Structural Biology (5 citations). Marta Querol‐Vilaseca has collaborated with scholars based in Spain, United States and Austria. Frequent co-authors include Alberto Lleó, Jordi Pegueroles, Jordi Clarimón, Juan Fortea, Olivia Belbin, Martí Colom‐Cadena, Laia Muñoz, Daniel Alcolea, Rafael Blesa and Raúl Núñez‐Llaves. Their work appears in journals such as Neuropathology and Applied Neurobiology, Alzheimer s & Dementia, Scientific Reports, Molecular Neurodegeneration and Journal of Neuroinflammation.
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.