Arantza Sanz-Parra
- Agronomy and Crop Science top 2%
- Cardiology and Cardiovascular Medicine top 10%
- Molecular Biology
- Ecology, Evolution, Behavior and Systematics top 10%
- Genetics
- Co-authors
- Francisco SobrinoVictoria LeyAne FullaondoDavid GubbEsther BlancoLaurent TroxlerMiguel Ángel Jiménez‐ClaveroPaula Gomes
- Topics
- Viral Infections and Immunology Research (5 papers)Animal Disease Management and Epidemiology (5 papers)Porphyrin Metabolism and Disorders (3 papers)
- Cited by
- Agronomy and Crop ScienceCardiology and Cardiovascular MedicineEcology, Evolution, Behavior and Systematics
- Journals
- Molecular and Cellular BiologyJournal of VirologyInternational Journal of Molecular Sciences
- Partner nations
- SpainFranceUnited States
In The Last Decade
Arantza Sanz-Parra
16 papers receiving 482 citations
Peers
Comparison fields: 5 of 57
- Agronomy and Crop Science 241
- Cardiology and Cardiovascular Medicine 222
- Molecular Biology 199
- Ecology, Evolution, Behavior and Systematics 134
- Genetics 91
Countries citing papers authored by Arantza Sanz-Parra
This map shows the geographic impact of Arantza Sanz-Parra'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 Arantza Sanz-Parra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arantza Sanz-Parra more than expected).
Fields of papers citing papers by Arantza Sanz-Parra
This network shows the impact of papers produced by Arantza Sanz-Parra. 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 Arantza Sanz-Parra. The network helps show where Arantza Sanz-Parra may publish in the future.
Co-authorship network of co-authors of Arantza Sanz-Parra
This figure shows the co-authorship network connecting the top 25 collaborators of Arantza Sanz-Parra. A scholar is included among the top collaborators of Arantza Sanz-Parra 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 Arantza Sanz-Parra. Arantza Sanz-Parra 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 | 1 | |
| 4 | 16 | |
| 5 | 19 | |
| 6 | 16 | |
| 7 | 40 | |
| 8 | 65 | |
| 9 | 42 | |
| 10 | 14 | |
| 11 | Gene symbol: MECP2. Disease: Rett syndrome (atypical). | 2 |
| 12 | 15 | |
| 13 | 82 | |
| 14 | 66 | |
| 15 | 41 | |
| 16 | 22 | |
| 17 | 52 |
About Arantza Sanz-Parra
Arantza Sanz-Parra is a scholar working on Agronomy and Crop Science, Cardiology and Cardiovascular Medicine and Molecular Biology, having authored 17 papers that have together received 496 indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (5 papers), Animal Disease Management and Epidemiology (5 papers) and Porphyrin Metabolism and Disorders (3 papers). The work is most often cited by research in Agronomy and Crop Science (241 citations), Cardiology and Cardiovascular Medicine (222 citations) and Ecology, Evolution, Behavior and Systematics (134 citations). Arantza Sanz-Parra has collaborated with scholars based in Spain, France and United States. Frequent co-authors include Francisco Sobrino, Victoria Ley, Ane Fullaondo, David Gubb, Esther Blanco, Laurent Troxler, Miguel Ángel Jiménez‐Clavero, Paula Gomes, Eliandre de Oliveira and David Andreu. Their work appears in journals such as Molecular and Cellular Biology, Journal of Virology 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.