Clara Alfaro‐Cervelló
- Developmental Neuroscience top 0.5%
- Neurogenesis and neuroplasticity mechanisms 14
- Neurology top 2%
- Neuroinflammation and Neurodegeneration Mechanisms 6
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- Neuroscience and Neuropharmacology Research 3
- Genetics top 5%
- Cancer Research top 5%
- Cancer Genomics and Diagnostics 5
- MicroRNA in disease regulation 3
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- Liver Disease Diagnosis and Treatment 4
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- Sarcoma Diagnosis and Treatment 4
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- Extracellular vesicles in disease 3
- Co-authors
- José Manuel García‐VerdugoArturo Álvarez-BuyllaStefano PluchinoDerek G. SouthwellDaniel JonesJohn L.R. RubensteinJoy Y. SebeScott C. Baraban
- Journals
- Nature (1 paper)Proceedings of the National Academy of Sciences (1 paper)Journal of Clinical Investigation (1 paper)
- Partner nations
- SpainUnited StatesUnited Kingdom
In The Last Decade
Clara Alfaro‐Cervelló
39 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 109
- Developmental Neuroscience 874
- Neurology 359
- Cellular and Molecular Neuroscience 636
- Genetics 243
- Cancer Research 335
Countries citing papers authored by Clara Alfaro‐Cervelló
This map shows the geographic impact of Clara Alfaro‐Cervelló'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 Clara Alfaro‐Cervelló with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Clara Alfaro‐Cervelló more than expected).
Fields of papers citing papers by Clara Alfaro‐Cervelló
This network shows the impact of papers produced by Clara Alfaro‐Cervelló. 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 Clara Alfaro‐Cervelló. The network helps show where Clara Alfaro‐Cervelló may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Clara Alfaro‐Cervelló, 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 | 2024 | 5 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 4 | |
| 5 | 2021 | 12 | |
| 6 | 2021 | 34 | |
| 7 | 2021 | 2 | |
| 8 | 2020 | 27 | |
| 9 | 2020 | 2 | |
| 10 | 2018 | 18 | |
| 11 | 2017 | 18 | |
| 12 | 2017 | 28 | |
| 13 | 2017 | 2 | |
| 14 | 2014 | 3 | |
| 15 | 2012 | 257 | |
| 16 | 2011 | 88 | |
| 17 | 2011 | 204 | |
| 18 | 2010 | 65 | |
| 19 | 2009 | 107 | |
| 20 | 2008 | 178 |
About Clara Alfaro‐Cervelló
Clara Alfaro‐Cervelló is a scholar working on Developmental Neuroscience, Neurology and Structural Biology, having authored 42 papers that have together received 2.1k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (14 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Cancer Genomics and Diagnostics (5 papers), Liver Disease Diagnosis and Treatment (4 papers), Sarcoma Diagnosis and Treatment (4 papers), MicroRNA in disease regulation (3 papers), Extracellular vesicles in disease (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). The work is most often cited by research in Developmental Neuroscience (874 citations), Neurology (359 citations) and Cellular and Molecular Neuroscience (636 citations). Clara Alfaro‐Cervelló has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include José Manuel García‐Verdugo, Arturo Álvarez-Buylla, Stefano Pluchino, Derek G. Southwell, Daniel Jones, John L.R. Rubenstein, Joy Y. Sebe, Scott C. Baraban, Chiara Cossetti and Elena Brambilla. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.
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.