Emilio Yángüez
Impact in
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- interferon and immune responses
- Endocrinology top 10%
Papers in
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- RNA and protein synthesis mechanisms 9
- Single-cell and spatial transcriptomics 2
- Immunology 10
- interferon and immune responses 7
- Immune Cell Function and Interaction 2
- Co-authors
- Amelia Nieto (6 shared papers)M. Mar Castellano (2 shared papers)Nuria Fernández‐Bautista (2 shared papers)Ana B. Castro‐Sanz (2 shared papers)Silke Stertz (4 shared papers)Nahum Sonenberg (1 shared paper)Juan Carlos Oliveros (1 shared paper)Umut Karakus (2 shared papers)
- Journals
- Virology (3 papers)Journal of Virology (2 papers)Virus Research (1 paper)Scientific Reports (1 paper)Virology Journal (1 paper)
- Partner nations
- SwitzerlandSpainUnited States
In The Last Decade
Emilio Yángüez
20 papers receiving 652 citations
Peers
Comparison fields: 5 of 84
- Immunology 174
- Endocrinology 37
- Developmental Neuroscience 29
- Epidemiology 178
- Plant Science 176
Countries citing papers authored by Emilio Yángüez
This map shows the geographic impact of Emilio Yángüez'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 Emilio Yángüez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emilio Yángüez more than expected).
Fields of papers citing papers by Emilio Yángüez
This network shows the impact of papers produced by Emilio Yángüez. 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 Emilio Yángüez. The network helps show where Emilio Yángüez may publish in the future.
Co-authors
The 25 scholars most cited alongside Emilio Yángüez, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 91 | |
| 2 | 2021 | 87 | |
| 3 | 2007 | 72 | |
| 4 | 2007 | 61 | |
| 5 | 2018 | 50 | |
| 6 | 2018 | 41 | |
| 7 | 2013 | 38 | |
| 8 | 2015 | 36 | |
| 9 | 2013 | 33 | |
| 10 | 2011 | 29 | |
| 11 | 2011 | 26 | |
| 12 | 2011 | 21 | |
| 13 | 2014 | 16 | |
| 14 | 2017 | 14 | |
| 15 | 2010 | 14 | |
| 16 | 2020 | 13 | |
| 17 | 2011 | 9 | |
| 18 | 2024 | 5 | |
| 19 | 2019 | 4 | |
| 20 | 2023 | 2 |
About Emilio Yángüez
Emilio Yángüez is a scholar working on Molecular Biology, Immunology, Epidemiology, Cardiology and Cardiovascular Medicine and Oncology, having authored 21 papers that have together received 662 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (9 papers), Influenza Virus Research Studies (8 papers), interferon and immune responses (7 papers), Single-cell and spatial transcriptomics (2 papers), Plant Virus Research Studies (2 papers), CAR-T cell therapy research (2 papers), Viral Infections and Immunology Research (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Immunology (174 citations), Endocrinology (37 citations), Developmental Neuroscience (29 citations), Epidemiology (178 citations) and Plant Science (176 citations). Emilio Yángüez has collaborated with scholars based in Switzerland, Spain and United States. Frequent co-authors include Amelia Nieto, M. Mar Castellano, Nuria Fernández‐Bautista, Ana B. Castro‐Sanz, Silke Stertz, Nahum Sonenberg, Juan Carlos Oliveros, Umut Karakus, Daniel Gerber and Jorge A. Pereira. Their work appears in journals such as Virology, Journal of Virology, Virus Research, Scientific Reports and Virology Journal.
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.