Clara Mazagatos
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies 7
- Health top 10%
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research 6
- COVID-19 Clinical Research Studies 4
- Viral gastroenteritis research and epidemiology 2
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- Influenza Virus Research Studies 12
- Respiratory viral infections research 10
- Pneumonia and Respiratory Infections 3
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- Climate Change and Health Impacts 2
- Co-authors
- Amparo LarrauriAyelén Rojas‐BenedictoMarta ValencianoRebeca RamisJavier Del-Águila-MejíaEsther KisslingNicolás RosilloAlin Gherasim
- Partner nations
- SpainUnited KingdomUnited States
In The Last Decade
Clara Mazagatos
21 papers receiving 374 citations
Peers
Comparison fields: 5 of 69
- Modeling and Simulation 87
- Health 94
- Infectious Diseases 150
- Epidemiology 201
- General Health Professions 45
Countries citing papers authored by Clara Mazagatos
This map shows the geographic impact of Clara Mazagatos'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 Clara Mazagatos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Clara Mazagatos more than expected).
Fields of papers citing papers by Clara Mazagatos
This network shows the impact of papers produced by Clara Mazagatos. 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 Clara Mazagatos. The network helps show where Clara Mazagatos may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Clara Mazagatos, 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 | 2024 | 13 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 0 | |
| 6 | 2023 | 8 | |
| 7 | 2022 | 13 | |
| 8 | 2022 | 19 | |
| 9 | 2022 | 6 | |
| 10 | [Effectiveness of vaccines against SARS-CoV-2 used in Spain: infection, hospitalization and mortality in people aged fifty/fifty-nine.] | 2022 | 1 |
| 11 | 2021 | 91 | |
| 12 | 2021 | 1 | |
| 13 | 2021 | 55 | |
| 14 | 2021 | 16 | |
| 15 | 2020 | 49 | |
| 16 | 2019 | 10 | |
| 17 | 2019 | 53 | |
| 18 | Measuring the impact of influenza vaccination programmes among the elderly population in Spain, the Netherlands and Portugal, 2015-2018 | 2019 | 1 |
| 19 | 2018 | 12 | |
| 20 | Influenza-attributable mortality in the Iberian Peninsula, seasons 2012/13 - 2017/18 | 2018 | 1 |
About Clara Mazagatos
Clara Mazagatos is a scholar working on Modeling and Simulation, Epidemiology and Infectious Diseases, having authored 23 papers that have together received 385 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (12 papers), Respiratory viral infections research (10 papers), COVID-19 epidemiological studies (7 papers), SARS-CoV-2 and COVID-19 Research (6 papers), COVID-19 Clinical Research Studies (4 papers), Pneumonia and Respiratory Infections (3 papers), Viral gastroenteritis research and epidemiology (2 papers) and Climate Change and Health Impacts (2 papers). The work is most often cited by research in Modeling and Simulation (87 citations), Health (94 citations) and Infectious Diseases (150 citations). Clara Mazagatos has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Amparo Larrauri, Ayelén Rojas‐Benedicto, Marta Valenciano, Rebeca Ramis, Javier Del-Águila-Mejía, Esther Kissling, Nicolás Rosillo, Alin Gherasim, Diana Gómez‐Barroso and Marina Peñuelas. Their work appears in journals such as PLoS ONE, Emerging infectious diseases and BMC Public Health.
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.