Irma Casas
Impact in
- Infectious Diseases top 5%
- Tuberculosis Research and Epidemiology
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- Nosocomial Infections in ICU
Papers in
-
- Tuberculosis Research and Epidemiology 16
- SARS-CoV-2 and COVID-19 Research 7
- Epidemiology 24
- Pneumonia and Respiratory Infections 14
- Respiratory viral infections research 7
- Influenza Virus Research Studies 6
- Co-authors
- Juan Roldán‐Merino (23 shared papers)María Esteve (19 shared papers)Nieves Sopena (13 shared papers)Cristina Prat (10 shared papers)Juan Ruiz‐Manzano (7 shared papers)V. Ausina (6 shared papers)María Luisa Pedro-Botet (9 shared papers)Miquel Sabrià (5 shared papers)
In The Last Decade
Irma Casas
75 papers receiving 971 citations
Peers
Comparison fields: 5 of 133
- Infectious Diseases 309
- Critical Care and Intensive Care Medicine 69
- Epidemiology 329
- Hepatology 67
- Research and Theory 5
Countries citing papers authored by Irma Casas
This map shows the geographic impact of Irma Casas'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 Irma Casas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Irma Casas more than expected).
Fields of papers citing papers by Irma Casas
This network shows the impact of papers produced by Irma Casas. 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 Irma Casas. The network helps show where Irma Casas may publish in the future.
Co-authors
The 25 scholars most cited alongside Irma Casas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 86 | |
| 2 | Metodología de la investigación cuantitativa | 2017 | 72 |
| 3 | 2014 | 63 | |
| 4 | 2016 | 47 | |
| 5 | 1996 | 46 | |
| 6 | 2022 | 45 | |
| 7 | 2014 | 44 | |
| 8 | 2004 | 42 | |
| 9 | 2017 | 37 | |
| 10 | 2009 | 33 | |
| 11 | 2017 | 29 | |
| 12 | 2013 | 26 | |
| 13 | 2017 | 26 | |
| 14 | 2018 | 20 | |
| 15 | 2013 | 17 | |
| 16 | 2022 | 16 | |
| 17 | 2017 | 15 | |
| 18 | 2004 | 15 | |
| 19 | 2017 | 15 | |
| 20 | 2017 | 15 |
About Irma Casas
Irma Casas is a scholar working on Infectious Diseases, Epidemiology, General Health Professions, Public Health, Environmental and Occupational Health and Surgery, having authored 84 papers that have together received 1.0k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (16 papers), Pneumonia and Respiratory Infections (14 papers), Infectious Diseases and Tuberculosis (7 papers), Health and Medical Education (7 papers), Respiratory viral infections research (7 papers), SARS-CoV-2 and COVID-19 Research (7 papers), Dental Health and Care Utilization (6 papers) and Influenza Virus Research Studies (6 papers). The work is most often cited by research in Infectious Diseases (309 citations), Critical Care and Intensive Care Medicine (69 citations), Epidemiology (329 citations), Hepatology (67 citations) and Research and Theory (5 citations). Irma Casas has collaborated with scholars based in Spain, Paraguay and Portugal. Frequent co-authors include Juan Roldán‐Merino, María Esteve, Nieves Sopena, Cristina Prat, Juan Ruiz‐Manzano, V. Ausina, María Luisa Pedro-Botet, Miquel Sabrià, Irene Latorre and José Domínguez. Their work appears in journals such as PLoS ONE, American Journal of Infection Control, Kidney International, Digestive and Liver Disease and Frontiers in Microbiology.
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.