Rosalina Gavı́n
- Molecular Biology top 10%
- Physiology top 5%
- Neurology top 2%
- Cellular and Molecular Neuroscience top 5%
- Developmental Neuroscience top 2%
- Co-authors
- José Antonio del Rı́oEduardo SorianoIsidró FerrerSusan PockettJuan M. TomásSusana MerinoJonathan G. ShawJesús M. Ureña
- Topics
- Prion Diseases and Protein Misfolding (25 papers)Alzheimer's disease research and treatments (18 papers)Neurological diseases and metabolism (14 papers)
- Journals
- Proceedings of the National Academy of SciencesPLoS ONEApplied and Environmental Microbiology
- Partner nations
- SpainSwitzerlandUnited Kingdom
In The Last Decade
Rosalina Gavı́n
43 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 102
- Molecular Biology 942
- Physiology 440
- Neurology 397
- Cellular and Molecular Neuroscience 375
- Developmental Neuroscience 207
Countries citing papers authored by Rosalina Gavı́n
This map shows the geographic impact of Rosalina Gavı́n'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 Rosalina Gavı́n with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rosalina Gavı́n more than expected).
Fields of papers citing papers by Rosalina Gavı́n
This network shows the impact of papers produced by Rosalina Gavı́n. 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 Rosalina Gavı́n. The network helps show where Rosalina Gavı́n may publish in the future.
Co-authorship network of co-authors of Rosalina Gavı́n
This figure shows the co-authorship network connecting the top 25 collaborators of Rosalina Gavı́n. A scholar is included among the top collaborators of Rosalina Gavı́n 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 Rosalina Gavı́n. Rosalina Gavı́n 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 | 1 | |
| 3 | 16 | |
| 4 | 25 | |
| 5 | 55 | |
| 6 | 2 | |
| 7 | 31 | |
| 8 | 29 | |
| 9 | 17 | |
| 10 | 14 | |
| 11 | 45 | |
| 12 | 51 | |
| 13 | 4 | |
| 14 | 39 | |
| 15 | 12 | |
| 16 | 65 | |
| 17 | 28 | |
| 18 | 79 | |
| 19 | 24 | |
| 20 | 5 |
About Rosalina Gavı́n
Rosalina Gavı́n is a scholar working on Developmental Neuroscience, Neurology and Physiology, having authored 44 papers that have together received 1.5k indexed citations. Recurring topics across this work include Prion Diseases and Protein Misfolding (25 papers), Alzheimer's disease research and treatments (18 papers) and Neurological diseases and metabolism (14 papers). The work is most often cited by research in Developmental Neuroscience (207 citations), Neurology (397 citations) and Endocrinology (127 citations). Rosalina Gavı́n has collaborated with scholars based in Spain, Switzerland and United Kingdom. Frequent co-authors include José Antonio del Rı́o, Eduardo Soriano, Isidró Ferrer, Susan Pockett, Juan M. Tomás, Susana Merino, Jonathan G. Shaw, Jesús M. Ureña, Alejandra Rangel and Ioannis Gryllos. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Applied and Environmental Microbiology.
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.