Raquel Muñoz-Moreno
- Molecular Biology
- Agronomy and Crop Science top 2%
- Immunology top 10%
- Epidemiology top 10%
- Ecology, Evolution, Behavior and Systematics top 5%
- Co-authors
- Covadonga AlonsoInmaculada GalindoMiguel Ángel Cuesta-GeijoAdolfo Garcı́a-SastreBruno HernáezLucía Barrado-GilBeatriz M. A. FontouraKe Zhang
- Topics
- Animal Disease Management and Epidemiology (12 papers)interferon and immune responses (9 papers)Influenza Virus Research Studies (8 papers)
- Partner nations
- United StatesSpainUnited Kingdom
In The Last Decade
Raquel Muñoz-Moreno
26 papers receiving 976 citations
Peers
Comparison fields: 5 of 68
- Molecular Biology 376
- Agronomy and Crop Science 370
- Immunology 311
- Epidemiology 262
- Ecology, Evolution, Behavior and Systematics 244
Countries citing papers authored by Raquel Muñoz-Moreno
This map shows the geographic impact of Raquel Muñoz-Moreno'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 Raquel Muñoz-Moreno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raquel Muñoz-Moreno more than expected).
Fields of papers citing papers by Raquel Muñoz-Moreno
This network shows the impact of papers produced by Raquel Muñoz-Moreno. 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 Raquel Muñoz-Moreno. The network helps show where Raquel Muñoz-Moreno may publish in the future.
Co-authorship network of co-authors of Raquel Muñoz-Moreno
This figure shows the co-authorship network connecting the top 25 collaborators of Raquel Muñoz-Moreno. A scholar is included among the top collaborators of Raquel Muñoz-Moreno 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 Raquel Muñoz-Moreno. Raquel Muñoz-Moreno is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 14 | |
| 3 | 51 | |
| 4 | 25 | |
| 5 | 19 | |
| 6 | 24 | |
| 7 | 1 | |
| 8 | 54 | |
| 9 | 11 | |
| 10 | 59 | |
| 11 | 82 | |
| 12 | 20 | |
| 13 | 58 | |
| 14 | 78 | |
| 15 | 77 | |
| 16 | 25 | |
| 17 | 2 | |
| 18 | 63 | |
| 19 | 97 | |
| 20 | 51 |
About Raquel Muñoz-Moreno
Raquel Muñoz-Moreno is a scholar working on Agronomy and Crop Science, Immunology and Biological Psychiatry, having authored 26 papers that have together received 984 indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (12 papers), interferon and immune responses (9 papers) and Influenza Virus Research Studies (8 papers). The work is most often cited by research in Agronomy and Crop Science (370 citations), Immunology (311 citations) and Ecology, Evolution, Behavior and Systematics (244 citations). Raquel Muñoz-Moreno has collaborated with scholars based in United States, Spain and United Kingdom. Frequent co-authors include Covadonga Alonso, Inmaculada Galindo, Miguel Ángel Cuesta-Geijo, Adolfo Garcı́a-Sastre, Bruno Hernáez, Lucía Barrado-Gil, Beatriz M. A. Fontoura, Ke Zhang, Matthew A. Esparza and Carles Martínez‐Romero. Their work appears in journals such as Nature Communications, PLoS ONE and Journal of Virology.
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.