Ana Navascués
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies 11
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research 10
- Viral gastroenteritis research and epidemiology 5
- COVID-19 Clinical Research Studies 4
- Health top 5%
- Vaccine Coverage and Hesitancy 6
- Epidemiology top 5%
- Respiratory viral infections research 26
- Influenza Virus Research Studies 21
- Pneumonia and Respiratory Infections 9
- Hepatology top 10%
- Co-authors
- Jesús CastillaCarmen EzpeletaIván Martínez‐BazItziar CasadoMarcela GuevaraCamino Trobajo‐SanmartínAitziber AguinagaCristina Burgui
- Partner nations
- SpainUnited StatesAustralia
In The Last Decade
Ana Navascués
63 papers receiving 894 citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Modeling and Simulation 143
- Infectious Diseases 438
- Health 158
- Epidemiology 503
- Hepatology 61
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
The 25 scholars most cited alongside Ana Navascués, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 3 | |
| 2 | 2025 | 0 | |
| 3 | Effectiveness of Nirsevimab Immunoprophylaxis Administered at Birth to Prevent Infant Hospitalisation for Respiratory Syncytial Virus Infection: A Population-Based Cohort Studybreakdown → | 2024 | 43 |
| 4 | 2024 | 2 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 3 | |
| 7 | 2023 | 16 | |
| 8 | 2023 | 6 | |
| 9 | 2022 | 15 | |
| 10 | 2022 | 25 | |
| 11 | 2022 | 8 | |
| 12 | 2022 | 12 | |
| 13 | 2021 | 49 | |
| 14 | 2021 | 12 | |
| 15 | 2021 | 15 | |
| 16 | 2021 | 48 | |
| 17 | 2021 | 56 | |
| 18 | 2020 | 29 | |
| 19 | 2018 | 17 | |
| 20 | 2018 | 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), COVID-19 epidemiological studies (11 papers), SARS-CoV-2 and COVID-19 Research (10 papers), Pneumonia and Respiratory Infections (9 papers), Vaccine Coverage and Hesitancy (6 papers), Viral gastroenteritis research and epidemiology (5 papers) and COVID-19 Clinical Research Studies (4 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.