Carmen Muñoz‐Almagro
- Epidemiology top 1%
- Microbiology top 0.5%
- Infectious Diseases top 2%
- Pulmonary and Respiratory Medicine top 5%
- Public Health, Environmental and Occupational Health top 5%
- Co-authors
- Cristina EstevaJuan José García‐GarcíaLaura SelvaPedro BrotonsMariona Fernández de SevillaRomán PallarésIolanda JordánCristian Launes
- Topics
- Pneumonia and Respiratory Infections (103 papers)Respiratory viral infections research (93 papers)Bacterial Infections and Vaccines (54 papers)
- Partner nations
- SpainMozambiqueUnited States
In The Last Decade
Carmen Muñoz‐Almagro
196 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 128
- Epidemiology 2.2k
- Microbiology 744
- Infectious Diseases 720
- Pulmonary and Respiratory Medicine 441
- Public Health, Environmental and Occupational Health 355
Countries citing papers authored by Carmen Muñoz‐Almagro
This map shows the geographic impact of Carmen Muñoz‐Almagro'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 Carmen Muñoz‐Almagro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carmen Muñoz‐Almagro more than expected).
Fields of papers citing papers by Carmen Muñoz‐Almagro
This network shows the impact of papers produced by Carmen Muñoz‐Almagro. 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 Carmen Muñoz‐Almagro. The network helps show where Carmen Muñoz‐Almagro may publish in the future.
Co-authorship network of co-authors of Carmen Muñoz‐Almagro
This figure shows the co-authorship network connecting the top 25 collaborators of Carmen Muñoz‐Almagro. A scholar is included among the top collaborators of Carmen Muñoz‐Almagro 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 Carmen Muñoz‐Almagro. Carmen Muñoz‐Almagro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 16 | |
| 5 | 4 | |
| 6 | 13 | |
| 7 | 3 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 12 | |
| 11 | 15 | |
| 12 | 16 | |
| 13 | 5 | |
| 14 | 15 | |
| 15 | 12 | |
| 16 | 6 | |
| 17 | 15 | |
| 18 | 10 | |
| 19 | 38 | |
| 20 | 13 |
About Carmen Muñoz‐Almagro
Carmen Muñoz‐Almagro is a scholar working on Microbiology, Epidemiology and Infectious Diseases, having authored 204 papers that have together received 3.3k indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (103 papers), Respiratory viral infections research (93 papers) and Bacterial Infections and Vaccines (54 papers). The work is most often cited by research in Microbiology (744 citations), Epidemiology (2.2k citations) and Infectious Diseases (720 citations). Carmen Muñoz‐Almagro has collaborated with scholars based in Spain, Mozambique and United States. Frequent co-authors include Cristina Esteva, Juan José García‐García, Laura Selva, Pedro Brotons, Mariona Fernández de Sevilla, Román Pallarés, Iolanda Jordán, Cristian Launes, David Tarragó and Clàudia Fortuny. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Neurology.
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.