Luis Martínez‐Sobrido
- Infectious Diseases top 0.1%
- Epidemiology top 0.2%
- Immunology top 0.2%
- Molecular Biology top 2%
- Animal Science and Zoology top 0.2%
- Co-authors
- Adolfo Garcı́a-SastreAitor NogalesJuan Carlos de la TorrePeter PaleseGeorg KochsDavid J. TophamMichael GaleYueh–Ming Loo
- Topics
- Influenza Virus Research Studies (114 papers)Respiratory viral infections research (81 papers)SARS-CoV-2 and COVID-19 Research (64 papers)
- Partner nations
- United StatesSpainFrance
In The Last Decade
Luis Martínez‐Sobrido
295 papers receiving 12.8k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Infectious Diseases 6.1k
- Epidemiology 4.9k
- Immunology 4.7k
- Molecular Biology 3.0k
- Animal Science and Zoology 1.4k
Countries citing papers authored by Luis Martínez‐Sobrido
This map shows the geographic impact of Luis Martínez‐Sobrido'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 Luis Martínez‐Sobrido with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luis Martínez‐Sobrido more than expected).
Fields of papers citing papers by Luis Martínez‐Sobrido
This network shows the impact of papers produced by Luis Martínez‐Sobrido. 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 Luis Martínez‐Sobrido. The network helps show where Luis Martínez‐Sobrido may publish in the future.
Co-authorship network of co-authors of Luis Martínez‐Sobrido
This figure shows the co-authorship network connecting the top 25 collaborators of Luis Martínez‐Sobrido. A scholar is included among the top collaborators of Luis Martínez‐Sobrido 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 Luis Martínez‐Sobrido. Luis Martínez‐Sobrido is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 13 | |
| 7 | 0 | |
| 8 | 4 | |
| 9 | 13 | |
| 10 | 8 | |
| 11 | 69 | |
| 12 | 5 | |
| 13 | 32 | |
| 14 | 13 | |
| 15 | 33 | |
| 16 | 83 | |
| 17 | 78 | |
| 18 | 15 | |
| 19 | 37 | |
| 20 | Distinct RIG-I and MDA5 Signaling by RNA Viruses in Innate Immunitybreakdown → | 843 |
About Luis Martínez‐Sobrido
Luis Martínez‐Sobrido is a scholar working on Infectious Diseases, Epidemiology and Immunology, having authored 305 papers that have together received 12.9k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (114 papers), Respiratory viral infections research (81 papers) and SARS-CoV-2 and COVID-19 Research (64 papers). The work is most often cited by research in Infectious Diseases (6.1k citations), Immunology (4.7k citations) and Epidemiology (4.9k citations). Luis Martínez‐Sobrido has collaborated with scholars based in United States, Spain and France. Frequent co-authors include Adolfo Garcı́a-Sastre, Aitor Nogales, Juan Carlos de la Torre, Peter Palese, Georg Kochs, David J. Topham, Michael Gale, Yueh–Ming Loo, Marta L. DeDiego and Steven F. Baker. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.