José M. Martinez-Navío
- Virology top 2%
- HIV Research and Treatment 18
- Physiology top 2%
- Adenosine and Purinergic Signaling 3
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- Immune Cell Function and Interaction 6
- Immunotherapy and Immune Responses 4
- Infectious Diseases top 10%
- Genetics top 10%
- Virus-based gene therapy research 8
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- Cytomegalovirus and herpesvirus research 8
- Herpesvirus Infections and Treatments 3
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- Monoclonal and Polyclonal Antibodies Research 4
- Co-authors
- Ronald C. DesrosiersSebastian FuchsGuangping GaoRafael FrancoTeresa GallartNúria ClimentJosefa MallolJosé M. Gatell
- Cited by
- VirologyPhysiologyImmunology
- Journals
- Molecular Therapy (3 papers)Molecular Therapy — Methods & Clinical Development (3 papers)Immunology and Cell Biology (3 papers)
- Partner nations
- United StatesSpainGermany
In The Last Decade
José M. Martinez-Navío
23 papers receiving 871 citations
Peers
Comparison fields: 5 of 73
- Virology 269
- Physiology 154
- Immunology 211
- Infectious Diseases 160
- Genetics 225
Countries citing papers authored by José M. Martinez-Navío
This map shows the geographic impact of José M. Martinez-Navío'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 José M. Martinez-Navío with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites José M. Martinez-Navío more than expected).
Fields of papers citing papers by José M. Martinez-Navío
This network shows the impact of papers produced by José M. Martinez-Navío. 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 José M. Martinez-Navío. The network helps show where José M. Martinez-Navío may publish in the future.
Co-authorship network
The 25 scholars most cited alongside José M. Martinez-Navío, 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2022 | 20 | |
| 5 | 2022 | 1 | |
| 6 | 2020 | 11 | |
| 7 | 2020 | 34 | |
| 8 | 2019 | 25 | |
| 9 | 2019 | 44 | |
| 10 | 2019 | 94 | |
| 11 | 2016 | 17 | |
| 12 | 2016 | 10 | |
| 13 | 2015 | 61 | |
| 14 | 2015 | 74 | |
| 15 | 2012 | 5 | |
| 16 | 2011 | 7 | |
| 17 | 2011 | 18 | |
| 18 | 2009 | 25 | |
| 19 | 2006 | 136 | |
| 20 | 2005 | 205 |
About José M. Martinez-Navío
José M. Martinez-Navío is a scholar working on Virology, Physiology and Immunology, having authored 25 papers that have together received 894 indexed citations. Recurring topics across this work include HIV Research and Treatment (18 papers), Virus-based gene therapy research (8 papers), Cytomegalovirus and herpesvirus research (8 papers), Immune Cell Function and Interaction (6 papers), Immunotherapy and Immune Responses (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Adenosine and Purinergic Signaling (3 papers) and Herpesvirus Infections and Treatments (3 papers). The work is most often cited by research in Virology (269 citations), Physiology (154 citations) and Immunology (211 citations). José M. Martinez-Navío has collaborated with scholars based in United States, Spain and Germany. Frequent co-authors include Ronald C. Desrosiers, Sebastian Fuchs, Guangping Gao, Rafael Franco, Teresa Gallart, Núria Climent, Josefa Mallol, José M. Gatell, Rodrigo Pacheco and Harold Oliva. Their work appears in journals such as Molecular Therapy, Molecular Therapy — Methods & Clinical Development, Immunology and Cell Biology, Journal of Virology and Journal of Leukocyte Biology.
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.