Nacho Aguiló
Impact in
- Infectious Diseases top 1%
- Tuberculosis Research and Epidemiology
- Immunology top 2%
- Immune responses and vaccinations
- Immunodeficiency and Autoimmune Disorders
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
Papers in
- Immunology 56
- Immune responses and vaccinations 31
- Immunodeficiency and Autoimmune Disorders 16
- Immune Cell Function and Interaction 15
- T-cell and B-cell Immunology 10
- Immunotherapy and Immune Responses 7
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- Tuberculosis Research and Epidemiology 38
- Co-authors
- Carlos Martı́n (51 shared papers)Dessislava Marinova (22 shared papers)Jesús Gonzalo‐Asensio (17 shared papers)Santiago Uranga (24 shared papers)Julián Pardo (20 shared papers)Alberto Anel (17 shared papers)Marta Monzón (8 shared papers)Juan José Badiola (8 shared papers)
- Journals
- Frontiers in Immunology (4 papers)OncoImmunology (4 papers)Vaccine (3 papers)The Journal of Immunology (3 papers)EBioMedicine (3 papers)
- Partner nations
- SpainFranceUnited Kingdom
In The Last Decade
Nacho Aguiló
72 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 96
- Infectious Diseases 1.4k
- Immunology 1.4k
- Molecular Medicine 130
- Epidemiology 813
- Microbiology 120
Countries citing papers authored by Nacho Aguiló
This map shows the geographic impact of Nacho Aguiló'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 Nacho Aguiló with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nacho Aguiló more than expected).
Fields of papers citing papers by Nacho Aguiló
This network shows the impact of papers produced by Nacho Aguiló. 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 Nacho Aguiló. The network helps show where Nacho Aguiló may publish in the future.
Co-authors
The 25 scholars most cited alongside Nacho Aguiló, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 190 | |
| 2 | 2015 | 126 | |
| 3 | 2013 | 114 | |
| 4 | 2015 | 105 | |
| 5 | 2015 | 101 | |
| 6 | 2017 | 93 | |
| 7 | 2009 | 91 | |
| 8 | 2014 | 75 | |
| 9 | 2018 | 67 | |
| 10 | 2017 | 66 | |
| 11 | 2020 | 64 | |
| 12 | 2020 | 62 | |
| 13 | 2018 | 55 | |
| 14 | 2007 | 55 | |
| 15 | 2010 | 54 | |
| 16 | 2015 | 54 | |
| 17 | 2014 | 53 | |
| 18 | 2015 | 51 | |
| 19 | 2011 | 44 | |
| 20 | 2021 | 41 |
About Nacho Aguiló
Nacho Aguiló is a scholar working on Immunology, Infectious Diseases, Epidemiology, Molecular Biology and Oncology, having authored 73 papers that have together received 2.5k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (38 papers), Immune responses and vaccinations (31 papers), Immunodeficiency and Autoimmune Disorders (16 papers), Immune Cell Function and Interaction (15 papers), Mycobacterium research and diagnosis (13 papers), T-cell and B-cell Immunology (10 papers), Cell death mechanisms and regulation (8 papers) and Immunotherapy and Immune Responses (7 papers). The work is most often cited by research in Infectious Diseases (1.4k citations), Immunology (1.4k citations), Molecular Medicine (130 citations), Epidemiology (813 citations) and Microbiology (120 citations). Nacho Aguiló has collaborated with scholars based in Spain, France and United Kingdom. Frequent co-authors include Carlos Martı́n, Dessislava Marinova, Jesús Gonzalo‐Asensio, Santiago Uranga, Julián Pardo, Alberto Anel, Marta Monzón, Juan José Badiola, Martín Villalba and Eugenia Puentes. Their work appears in journals such as Frontiers in Immunology, OncoImmunology, Vaccine, The Journal of Immunology and EBioMedicine.
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.