Javier Martín
- Infectious Diseases top 1%
- Viral gastroenteritis research and epidemiology 50
- SARS-CoV-2 and COVID-19 Research 5
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- Viral Infections and Immunology Research 64
- Agronomy and Crop Science top 2%
- Animal Disease Management and Epidemiology 13
- Animal Science and Zoology top 2%
- Animal Virus Infections Studies 11
- Epidemiology top 5%
- Respiratory viral infections research 18
- Influenza Virus Research Studies 7
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- RNA and protein synthesis mechanisms 7
- Co-authors
- Philip D. MinorGlynis DunnThomas WiltonManasi MajumdarDimitra KlapsaJ.J. SkehelDavid A. SteinhauerYi Pu Lin
- Journals
- Proceedings of the National Academy of Sciences (1 paper)The Lancet (1 paper)Nature Communications (1 paper)
- Partner nations
- United KingdomUnited StatesSpain
In The Last Decade
Javier Martín
82 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 95
- Infectious Diseases 1.4k
- Cardiology and Cardiovascular Medicine 1.2k
- Agronomy and Crop Science 239
- Animal Science and Zoology 228
- Epidemiology 679
Countries citing papers authored by Javier Martín
This map shows the geographic impact of Javier Martín'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 Javier Martín with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Javier Martín more than expected).
Fields of papers citing papers by Javier Martín
This network shows the impact of papers produced by Javier Martín. 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 Javier Martín. The network helps show where Javier Martín may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Javier Martín, 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 | 3 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 7 | |
| 6 | 2023 | 8 | |
| 7 | 2023 | 6 | |
| 8 | 2023 | 9 | |
| 9 | 2022 | 4 | |
| 10 | 2020 | 10 | |
| 11 | 2018 | 2 | |
| 12 | 2018 | 7 | |
| 13 | European Pharmacopoeia biological reference preparation for poliomyelitis vaccine (inactivated): collaborative study for the establishment of batch No. 3. | 2016 | 1 |
| 14 | 2014 | 53 | |
| 15 | 2011 | 42 | |
| 16 | 2007 | 81 | |
| 17 | 2004 | 5 | |
| 18 | 1998 | 117 | |
| 19 | 1997 | 72 | |
| 20 | 1994 | 60 |
About Javier Martín
Javier Martín is a scholar working on Infectious Diseases, Cardiology and Cardiovascular Medicine and Agronomy and Crop Science, having authored 84 papers that have together received 2.3k indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (64 papers), Viral gastroenteritis research and epidemiology (50 papers), Respiratory viral infections research (18 papers), Animal Disease Management and Epidemiology (13 papers), Animal Virus Infections Studies (11 papers), Influenza Virus Research Studies (7 papers), RNA and protein synthesis mechanisms (7 papers) and SARS-CoV-2 and COVID-19 Research (5 papers). The work is most often cited by research in Infectious Diseases (1.4k citations), Cardiology and Cardiovascular Medicine (1.2k citations) and Agronomy and Crop Science (239 citations). Javier Martín has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Philip D. Minor, Glynis Dunn, Thomas Wilton, Manasi Majumdar, Dimitra Klapsa, J.J. Skehel, David A. Steinhauer, Yi Pu Lin, Don C. Wiley and Stephen A. Wharton. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet and Nature Communications.
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.