Manuel Rosa‐Calatrava
- Infectious Diseases top 1%
- Viral gastroenteritis research and epidemiology 20
- SARS-CoV-2 and COVID-19 Research 12
- Epidemiology top 2%
- Influenza Virus Research Studies 37
- Respiratory viral infections research 24
- Immunology top 5%
- interferon and immune responses 18
- Modeling and Simulation top 5%
- Molecular Biology top 10%
- RNA and protein synthesis mechanisms 8
- Viral Infectious Diseases and Gene Expression in Insects 8
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- Virus-based gene therapy research 13
- Co-authors
- Olivier TerrierBruno LinaAndrés PizzornoJulia DuboisBlandine PadeyThomas JulienVincent MoulésAurélien Traversier
- Partner nations
- FranceCanadaUnited Kingdom
In The Last Decade
Manuel Rosa‐Calatrava
81 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 128
- Infectious Diseases 996
- Epidemiology 1.0k
- Immunology 459
- Modeling and Simulation 77
- Molecular Biology 1.1k
Countries citing papers authored by Manuel Rosa‐Calatrava
This map shows the geographic impact of Manuel Rosa‐Calatrava'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 Manuel Rosa‐Calatrava with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manuel Rosa‐Calatrava more than expected).
Fields of papers citing papers by Manuel Rosa‐Calatrava
This network shows the impact of papers produced by Manuel Rosa‐Calatrava. 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 Manuel Rosa‐Calatrava. The network helps show where Manuel Rosa‐Calatrava may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Manuel Rosa‐Calatrava, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 12 | |
| 6 | 2020 | 141 | |
| 7 | 2020 | 5 | |
| 8 | 2020 | 115 | |
| 9 | 2019 | 14 | |
| 10 | 2019 | 30 | |
| 11 | 2019 | 18 | |
| 12 | 2019 | 30 | |
| 13 | 2019 | 11 | |
| 14 | 2018 | 4 | |
| 15 | 2016 | 15 | |
| 16 | 2014 | 9 | |
| 17 | 2013 | 2 | |
| 18 | 2013 | 11 | |
| 19 | 2011 | 0 | |
| 20 | 2011 | 37 |
About Manuel Rosa‐Calatrava
Manuel Rosa‐Calatrava is a scholar working on Infectious Diseases, Epidemiology, Immunology, Molecular Biology and Genetics, having authored 87 papers that have together received 2.6k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (37 papers), Respiratory viral infections research (24 papers), Viral gastroenteritis research and epidemiology (20 papers), interferon and immune responses (18 papers), Virus-based gene therapy research (13 papers), SARS-CoV-2 and COVID-19 Research (12 papers), RNA and protein synthesis mechanisms (8 papers) and Viral Infectious Diseases and Gene Expression in Insects (8 papers). The work is most often cited by research in Infectious Diseases (996 citations), Epidemiology (1.0k citations), Immunology (459 citations), Modeling and Simulation (77 citations) and Molecular Biology (1.1k citations). Manuel Rosa‐Calatrava has collaborated with scholars based in France, Canada and United Kingdom. Frequent co-authors include Olivier Terrier, Bruno Lina, Andrés Pizzorno, Julia Dubois, Blandine Padey, Thomas Julien, Vincent Moulés, Aurélien Traversier, Guy Boivin and Jean‐Christophe Bourdon. Their work appears in journals such as Scientific Reports, Journal of Virology, Vaccine, Journal of Clinical Virology and Frontiers in Immunology.
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.