Ana Navascués
- Epidemiology top 5%
- Infectious Diseases top 5%
- Health top 5%
- Modeling and Simulation top 2%
- Cardiology and Cardiovascular Medicine
- Co-authors
- Jesús CastillaCarmen EzpeletaIván Martínez‐BazItziar CasadoMarcela GuevaraCamino Trobajo‐SanmartínAitziber AguinagaCristina Burgui
- Topics
- Respiratory viral infections research (26 papers)Influenza Virus Research Studies (21 papers)COVID-19 epidemiological studies (11 papers)
- Partner nations
- SpainUnited StatesAustralia
In The Last Decade
Ana Navascués
63 papers receiving 894 citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Epidemiology 503
- Infectious Diseases 438
- Health 158
- Modeling and Simulation 143
- Cardiology and Cardiovascular Medicine 87
Countries citing papers authored by Ana Navascués
This map shows the geographic impact of Ana Navascués'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 Ana Navascués with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ana Navascués more than expected).
Fields of papers citing papers by Ana Navascués
This network shows the impact of papers produced by Ana Navascués. 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 Ana Navascués. The network helps show where Ana Navascués may publish in the future.
Co-authorship network of co-authors of Ana Navascués
This figure shows the co-authorship network connecting the top 25 collaborators of Ana Navascués. A scholar is included among the top collaborators of Ana Navascués 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 Ana Navascués. Ana Navascués is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | Effectiveness of Nirsevimab Immunoprophylaxis Administered at Birth to Prevent Infant Hospitalisation for Respiratory Syncytial Virus Infection: A Population-Based Cohort Studybreakdown → | 43 |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 16 | |
| 8 | 6 | |
| 9 | 15 | |
| 10 | 25 | |
| 11 | 8 | |
| 12 | 12 | |
| 13 | 49 | |
| 14 | 12 | |
| 15 | 15 | |
| 16 | 48 | |
| 17 | 56 | |
| 18 | 29 | |
| 19 | 17 | |
| 20 | 6 |
About Ana Navascués
Ana Navascués is a scholar working on Modeling and Simulation, Infectious Diseases and Microbiology, having authored 67 papers that have together received 911 indexed citations. Recurring topics across this work include Respiratory viral infections research (26 papers), Influenza Virus Research Studies (21 papers) and COVID-19 epidemiological studies (11 papers). The work is most often cited by research in Modeling and Simulation (143 citations), Infectious Diseases (438 citations) and Health (158 citations). Ana Navascués has collaborated with scholars based in Spain, United States and Australia. Frequent co-authors include Jesús Castilla, Carmen Ezpeleta, Iván Martínez‐Baz, Itziar Casado, Marcela Guevara, Camino Trobajo‐Sanmartín, Aitziber Aguinaga, Cristina Burgui, Ana Miqueleiz and Manuel Garcìa Cenoz. Their work appears in journals such as PLoS ONE, Clinical Infectious Diseases and Scientific Reports.
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.