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 7
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- RNA Research and Splicing 1
- Co-authors
- Alberto Lleó (10 shared papers)Juan Fortea (10 shared papers)Olivia Belbin (9 shared papers)Jordi Clarimón (6 shared papers)Jordi Pegueroles (7 shared papers)Martí Colom‐Cadena (2 shared papers)Laia Muñoz (4 shared papers)Rafael Blesa (6 shared papers)
- Journals
- Scientific Reports (2 papers)Alzheimer s & Dementia (2 papers)Neuropathology and Applied Neurobiology (2 papers)Molecular Neurodegeneration (1 paper)Neurology Neuroimmunology & Neuroinflammation (1 paper)
- Partner nations
- SpainUnited StatesAustria
In The Last Decade
Marta Querol‐Vilaseca
10 papers receiving 279 citations
Peers
Comparison fields: 5 of 61
- Neurology 113
- Biological Psychiatry 21
- Physiology 162
- Neurology 78
- 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 | 102 | |
| 2 | 2019 | 58 | |
| 3 | 2020 | 57 | |
| 4 | 2019 | 39 | |
| 5 | 2022 | 9 | |
| 6 | 2023 | 5 | |
| 7 | 2022 | 4 | |
| 8 | 2021 | 3 | |
| 9 | 2021 | 2 | |
| 10 | 2022 | 1 |
About Marta Querol‐Vilaseca
Marta Querol‐Vilaseca is a scholar working on Physiology, Molecular Biology, Cellular and Molecular Neuroscience, Neurology and Psychiatry and Mental health, having authored 10 papers that have together received 280 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Dementia and Cognitive Impairment Research (3 papers), Computational Drug Discovery Methods (2 papers), Amyotrophic Lateral Sclerosis Research (2 papers), Cholinesterase and Neurodegenerative Diseases (1 paper), Parkinson's Disease Mechanisms and Treatments (1 paper) and RNA Research and Splicing (1 paper). The work is most often cited by research in Neurology (113 citations), Biological Psychiatry (21 citations), Physiology (162 citations), Neurology (78 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, Juan Fortea, Olivia Belbin, Jordi Clarimón, Jordi Pegueroles, Martí Colom‐Cadena, Laia Muñoz, Rafael Blesa, Daniel Alcolea and Sònia Sirisi. Their work appears in journals such as Scientific Reports, Alzheimer s & Dementia, Neuropathology and Applied Neurobiology, Molecular Neurodegeneration and Neurology Neuroimmunology & 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.