M.Á. Rubio
Impact in
- Neurology top 10%
- Amyotrophic Lateral Sclerosis Research
- Parkinson's Disease Mechanisms and Treatments
- Long-Term Effects of COVID-19
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- Neurogenetic and Muscular Disorders Research
Papers in
- Co-authors
- Mireia Herrando‐Grabulosa (4 shared papers)Xavier Navarro (4 shared papers)J Vilches (2 shared papers)Jordi Jiménez-Conde (2 shared papers)Ana Rodríguez-Campello (2 shared papers)Jaume Roquer (3 shared papers)Elisa Cuadrado‐Godia (2 shared papers)Ángel Ois (2 shared papers)
- Journals
- Scientific Reports (1 paper)Atherosclerosis (1 paper)Journal of the Peripheral Nervous System (1 paper)Biomedicines (1 paper)International Journal of Molecular Sciences (1 paper)
- Partner nations
- SpainUnited KingdomUnited States
In The Last Decade
M.Á. Rubio
23 papers receiving 190 citations
Peers
Comparison fields: 5 of 61
- Neurology 116
- Genetics 46
- Neurology 20
- Cellular and Molecular Neuroscience 27
- Pulmonary and Respiratory Medicine 26
Countries citing papers authored by M.Á. Rubio
This map shows the geographic impact of M.Á. Rubio'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 M.Á. Rubio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.Á. Rubio more than expected).
Fields of papers citing papers by M.Á. Rubio
This network shows the impact of papers produced by M.Á. Rubio. 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 M.Á. Rubio. The network helps show where M.Á. Rubio may publish in the future.
Co-authors
The 25 scholars most cited alongside M.Á. Rubio, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 26 | |
| 2 | 2021 | 24 | |
| 3 | 2011 | 20 | |
| 4 | 2011 | 18 | |
| 5 | 2022 | 17 | |
| 6 | 2016 | 17 | |
| 7 | 2021 | 15 | |
| 8 | 2022 | 11 | |
| 9 | 2022 | 8 | |
| 10 | 2017 | 6 | |
| 11 | 2023 | 5 | |
| 12 | 2022 | 5 | |
| 13 | 2022 | 4 | |
| 14 | 2022 | 4 | |
| 15 | 2016 | 3 | |
| 16 | 2015 | 3 | |
| 17 | 2021 | 2 | |
| 18 | 2024 | 1 | |
| 19 | 2013 | 1 | |
| 20 | 2016 | 1 |
About M.Á. Rubio
M.Á. Rubio is a scholar working on Neurology, Genetics, Cellular and Molecular Neuroscience, Physiology and Molecular Biology, having authored 23 papers that have together received 194 indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (11 papers), Parkinson's Disease Mechanisms and Treatments (5 papers), Neurogenetic and Muscular Disorders Research (5 papers), Genetic Neurodegenerative Diseases (3 papers), Alzheimer's disease research and treatments (2 papers), Hereditary Neurological Disorders (2 papers), Dysphagia Assessment and Management (2 papers) and Acute Ischemic Stroke Management (2 papers). The work is most often cited by research in Neurology (116 citations), Genetics (46 citations), Neurology (20 citations), Cellular and Molecular Neuroscience (27 citations) and Pulmonary and Respiratory Medicine (26 citations). M.Á. Rubio has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Mireia Herrando‐Grabulosa, Xavier Navarro, J Vilches, Jordi Jiménez-Conde, Ana Rodríguez-Campello, Jaume Roquer, Elisa Cuadrado‐Godia, Ángel Ois, Mónica Povedano and Carla Avellaneda-Gómez. Their work appears in journals such as Scientific Reports, Atherosclerosis, Journal of the Peripheral Nervous System, Biomedicines and International Journal of Molecular Sciences.
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.