Eva Calvo-Pinilla
- Ecology, Evolution, Behavior and Systematics top 1%
- Infectious Diseases top 2%
- Agronomy and Crop Science top 1%
- Plant Science
- Public Health, Environmental and Occupational Health
- Co-authors
- Javier OrtegoAlejandro Marín-LópezJavier Castillo‐OlivaresTeresa Rodríguez-CalvoJuan AnguítaNoemı́ SevillaPeter MertensSergio Utrilla-Trigo
- Topics
- Viral Infections and Vectors (38 papers)Vector-Borne Animal Diseases (36 papers)Animal Disease Management and Epidemiology (33 papers)
- Partner nations
- SpainUnited KingdomUnited States
In The Last Decade
Eva Calvo-Pinilla
38 papers receiving 860 citations
Peers
Comparison fields: 5 of 36
- Ecology, Evolution, Behavior and Systematics 730
- Infectious Diseases 710
- Agronomy and Crop Science 619
- Plant Science 74
- Public Health, Environmental and Occupational Health 52
Countries citing papers authored by Eva Calvo-Pinilla
This map shows the geographic impact of Eva Calvo-Pinilla'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 Eva Calvo-Pinilla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Calvo-Pinilla more than expected).
Fields of papers citing papers by Eva Calvo-Pinilla
This network shows the impact of papers produced by Eva Calvo-Pinilla. 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 Eva Calvo-Pinilla. The network helps show where Eva Calvo-Pinilla may publish in the future.
Co-authorship network of co-authors of Eva Calvo-Pinilla
This figure shows the co-authorship network connecting the top 25 collaborators of Eva Calvo-Pinilla. A scholar is included among the top collaborators of Eva Calvo-Pinilla 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 Eva Calvo-Pinilla. Eva Calvo-Pinilla is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 7 | |
| 8 | 34 | |
| 9 | The combined expression of the nonstructural protein NS1 and the N-terminal half of NS2 (NS21-180) by ChAdOx1 and MVA confers protection against clinical disease in sheep upon bluetongue virus challenge | 13 |
| 10 | 28 | |
| 11 | 12 | |
| 12 | 21 | |
| 13 | 27 | |
| 14 | 14 | |
| 15 | 21 | |
| 16 | 14 | |
| 17 | 19 | |
| 18 | 32 | |
| 19 | 44 | |
| 20 | 53 |
About Eva Calvo-Pinilla
Eva Calvo-Pinilla is a scholar working on Agronomy and Crop Science, Infectious Diseases and Ecology, Evolution, Behavior and Systematics, having authored 43 papers that have together received 867 indexed citations. Recurring topics across this work include Viral Infections and Vectors (38 papers), Vector-Borne Animal Diseases (36 papers) and Animal Disease Management and Epidemiology (33 papers). The work is most often cited by research in Agronomy and Crop Science (619 citations), Infectious Diseases (710 citations) and Ecology, Evolution, Behavior and Systematics (730 citations). Eva Calvo-Pinilla has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Javier Ortego, Alejandro Marín-López, Javier Castillo‐Olivares, Teresa Rodríguez-Calvo, Juan Anguíta, Noemı́ Sevilla, Peter Mertens, Sergio Utrilla-Trigo, F. Poza and Gema Lorenzo. Their work appears in journals such as PLoS ONE, 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.