Itziar Casado
- Epidemiology top 10%
- Infectious Diseases top 5%
- Health top 5%
- Modeling and Simulation top 2%
- Hepatology top 10%
- Co-authors
- Jesús CastillaIván Martínez‐BazCarmen EzpeletaAna NavascuésCamino Trobajo‐SanmartínCristina BurguiMarcela GuevaraAna Miqueleiz
- Topics
- Influenza Virus Research Studies (25 papers)Respiratory viral infections research (24 papers)COVID-19 epidemiological studies (13 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEClinical Infectious Diseases
- Partner nations
- SpainUnited StatesAustralia
In The Last Decade
Itziar Casado
47 papers receiving 717 citations
Hit Papers
Peers
Comparison fields: 5 of 73
- Epidemiology 435
- Infectious Diseases 326
- Health 161
- Modeling and Simulation 160
- Hepatology 62
Countries citing papers authored by Itziar Casado
This map shows the geographic impact of Itziar Casado'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 Itziar Casado with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Itziar Casado more than expected).
Fields of papers citing papers by Itziar Casado
This network shows the impact of papers produced by Itziar Casado. 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 Itziar Casado. The network helps show where Itziar Casado may publish in the future.
Co-authorship network of co-authors of Itziar Casado
This figure shows the co-authorship network connecting the top 25 collaborators of Itziar Casado. A scholar is included among the top collaborators of Itziar Casado 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 Itziar Casado. Itziar Casado 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 | Effectiveness of Nirsevimab Immunoprophylaxis Administered at Birth to Prevent Infant Hospitalisation for Respiratory Syncytial Virus Infection: A Population-Based Cohort Studybreakdown → | 43 |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 16 | |
| 7 | 6 | |
| 8 | 15 | |
| 9 | 14 | |
| 10 | 25 | |
| 11 | 8 | |
| 12 | 12 | |
| 13 | 49 | |
| 14 | 48 | |
| 15 | 56 | |
| 16 | 9 | |
| 17 | 24 | |
| 18 | 34 | |
| 19 | 18 | |
| 20 | 2 |
About Itziar Casado
Itziar Casado is a scholar working on Modeling and Simulation, Infectious Diseases and Epidemiology, having authored 48 papers that have together received 726 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (25 papers), Respiratory viral infections research (24 papers) and COVID-19 epidemiological studies (13 papers). The work is most often cited by research in Modeling and Simulation (160 citations), Health (161 citations) and Infectious Diseases (326 citations). Itziar Casado has collaborated with scholars based in Spain, United States and Australia. Frequent co-authors include Jesús Castilla, Iván Martínez‐Baz, Carmen Ezpeleta, Ana Navascués, Camino Trobajo‐Sanmartín, Cristina Burgui, Marcela Guevara, Ana Miqueleiz, Aitziber Aguinaga and Francisco Pozo. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Clinical Infectious Diseases.
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.