Ariadna Recasens
- Neurology top 1%
- Molecular Biology
- Physiology top 5%
- Cellular and Molecular Neuroscience top 5%
- Epidemiology top 10%
- Co-authors
- Benjamin DehayCéline PerierMiquel VilaJordi BovéLenka MunozPatricia BoyaNatalia Rodríguez‐MuelaIria Carballo‐Carbajal
- Topics
- Parkinson's Disease Mechanisms and Treatments (10 papers)Autophagy in Disease and Therapy (3 papers)Conducting polymers and applications (3 papers)
- Cited by
- NeurologyPhysiology
In The Last Decade
Ariadna Recasens
16 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Neurology 1.0k
- Molecular Biology 647
- Physiology 507
- Cellular and Molecular Neuroscience 471
- Epidemiology 441
Countries citing papers authored by Ariadna Recasens
This map shows the geographic impact of Ariadna Recasens'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 Ariadna Recasens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ariadna Recasens more than expected).
Fields of papers citing papers by Ariadna Recasens
This network shows the impact of papers produced by Ariadna Recasens. 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 Ariadna Recasens. The network helps show where Ariadna Recasens may publish in the future.
Co-authorship network of co-authors of Ariadna Recasens
This figure shows the co-authorship network connecting the top 25 collaborators of Ariadna Recasens. A scholar is included among the top collaborators of Ariadna Recasens based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ariadna Recasens. Ariadna Recasens is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 35 | |
| 4 | 18 | |
| 5 | 6 | |
| 6 | 241 | |
| 7 | 16 | |
| 8 | 20 | |
| 9 | 55 | |
| 10 | 107 | |
| 11 | 43 | |
| 12 | 68 | |
| 13 | 130 | |
| 14 | Lewy body extracts from Parkinson disease brains trigger α‐synuclein pathology and neurodegeneration in mice and monkeysbreakdown → | 485 |
| 15 | Selective silencing of alpha-synuclein in aminergic neurons In vivo by intranasal delivery of targeted small interfering RNA or antisense oligonucleotides Relevance to Parkinson's disease | 1 |
| 16 | 78 | |
| 17 | Pathogenic Lysosomal Depletion in Parkinson's Diseasebreakdown → | 640 |
About Ariadna Recasens
Ariadna Recasens is a scholar working on Neurology, Genetics and Cellular and Molecular Neuroscience, having authored 17 papers that have together received 1.9k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (10 papers), Autophagy in Disease and Therapy (3 papers) and Conducting polymers and applications (3 papers). The work is most often cited by research in Neurology (1.0k citations), Neurology (279 citations) and Physiology (124 citations). Ariadna Recasens has collaborated with scholars based in Australia, Spain and France. Frequent co-authors include Benjamin Dehay, Céline Perier, Miquel Vila, Jordi Bové, Lenka Munoz, Patricia Boya, Natalia Rodríguez‐Muela, Iria Carballo‐Carbajal, Isabel Fariñas and Annabelle Parent. Their work appears in journals such as Journal of Neuroscience, Annals of Neurology 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.