Emilio Yángüez

2.4k total citations
21 papers, 662 citations indexed

About

Emilio Yángüez is a scholar working on Molecular Biology, Immunology and Epidemiology. According to data from OpenAlex, Emilio Yángüez has authored 21 papers receiving a total of 662 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 10 papers in Immunology and 8 papers in Epidemiology. Recurrent topics in Emilio Yángüez's work include RNA and protein synthesis mechanisms (9 papers), Influenza Virus Research Studies (8 papers) and interferon and immune responses (7 papers). Emilio Yángüez is often cited by papers focused on RNA and protein synthesis mechanisms (9 papers), Influenza Virus Research Studies (8 papers) and interferon and immune responses (7 papers). Emilio Yángüez collaborates with scholars based in Spain, Switzerland and United States. Emilio Yángüez's co-authors include Amelia Nieto, M. Mar Castellano, Ana B. Castro‐Sanz, Nuria Fernández‐Bautista, Silke Stertz, Juan Carlos Oliveros, Nahum Sonenberg, Umut Karakus, Ge Tan and Joanne Gerber and has published in prestigious journals such as Nature Communications, Blood and PLoS ONE.

In The Last Decade

Emilio Yángüez

20 papers receiving 652 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Emilio Yángüez Spain 15 288 178 176 174 71 21 662
Hui Nie China 11 307 1.1× 329 1.8× 65 0.4× 212 1.2× 41 0.6× 29 915
Jonathan Cook United Kingdom 16 319 1.1× 49 0.3× 83 0.5× 329 1.9× 73 1.0× 23 725
Qinfang Liu United States 13 183 0.6× 93 0.5× 37 0.2× 150 0.9× 55 0.8× 21 522
Garry A. Luke United Kingdom 13 403 1.4× 54 0.3× 60 0.3× 100 0.6× 65 0.9× 24 711
Marc D. Panas Sweden 12 1.0k 3.6× 205 1.2× 77 0.4× 187 1.1× 137 1.9× 16 1.5k
Truus E. M. Abbink Netherlands 24 1.3k 4.6× 105 0.6× 211 1.2× 144 0.8× 142 2.0× 53 1.8k
Zhiguo Liang United States 9 203 0.7× 59 0.3× 44 0.3× 129 0.7× 101 1.4× 12 451
Elizabeth Scotto–Lavino United States 5 408 1.4× 29 0.2× 124 0.7× 48 0.3× 51 0.7× 7 669
Dana A. Dodd United States 10 337 1.2× 80 0.4× 42 0.2× 103 0.6× 226 3.2× 13 799
Amit P. Mehrotra United Kingdom 7 464 1.6× 47 0.3× 83 0.5× 73 0.4× 125 1.8× 8 720

Countries citing papers authored by Emilio Yángüez

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Emilio Yángüez

This figure shows the co-authorship network connecting the top 25 collaborators of Emilio Yángüez. A scholar is included among the top collaborators of Emilio Yángüez 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 Emilio Yángüez. Emilio Yángüez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Schmeing, Stephan, Sina Nassiri, Emilio Yángüez, et al.. (2026). Molecular Features of Response and Resistance to Glofitamab, a T-Cell Engager for treatment of Large B-Cell Lymphoma. Blood Advances.
2.
Schlenker, Ramona, Petra Schwalie, Steffen Dettling, et al.. (2024). Myeloid-T cell interplay and cell state transitions associated with checkpoint inhibitor response in melanoma. Med. 5(7). 759–779.e7. 5 indexed citations
3.
Gerber, Daniel, Jorge A. Pereira, Joanne Gerber, et al.. (2021). Transcriptional profiling of mouse peripheral nerves to the single-cell level to build a sciatic nerve ATlas (SNAT). eLife. 10. 87 indexed citations
4.
Jaeger, Baptiste N., et al.. (2020). Miniaturization of Smart-seq2 for Single-Cell and Single-Nucleus RNA Sequencing. STAR Protocols. 1(2). 100081–100081. 13 indexed citations
5.
Marcos-Villar, Laura, et al.. (2019). Mutations of the segment-specific nucleotides at the 3’ end of influenza virus NS segment control viral replication. Virology. 539. 104–113. 4 indexed citations
6.
Karakus, Umut, et al.. (2018). Propagation and Titration of Influenza Viruses. Methods in molecular biology. 1836. 59–88. 50 indexed citations
7.
Yángüez, Emilio, Annika Hunziker, Maria Pamela Dobay, et al.. (2018). Phosphoproteomic-based kinase profiling early in influenza virus infection identifies GRK2 as antiviral drug target. Nature Communications. 9(1). 3679–3679. 41 indexed citations
8.
Pohl, Marie O., Ariel Rodríguez-Frandsen, Emilio Yángüez, et al.. (2017). Identification of Polo-like kinases as potential novel drug targets for influenza A virus. Scientific Reports. 7(1). 8629–8629. 14 indexed citations
9.
Pohl, Marie O., et al.. (2015). Cathepsin W Is Required for Escape of Influenza A Virus from Late Endosomes. mBio. 6(3). e00297–e00297. 36 indexed citations
10.
Yángüez, Emilio, et al.. (2014). Swine Interferon-Inducible Transmembrane Proteins Potently Inhibit Influenza A Virus Replication. Journal of Virology. 89(1). 863–869. 16 indexed citations
11.
Yángüez, Emilio, Ana B. Castro‐Sanz, Nuria Fernández‐Bautista, Juan Carlos Oliveros, & M. Mar Castellano. (2013). Analysis of Genome-Wide Changes in the Translatome of Arabidopsis Seedlings Subjected to Heat Stress. PLoS ONE. 8(8). e71425–e71425. 91 indexed citations
12.
Yángüez, Emilio, Alicia García‐Culebras, Klaus‐Peter Knobeloch, et al.. (2013). ISG15 Regulates Peritoneal Macrophages Functionality against Viral Infection. PLoS Pathogens. 9(10). e1003632–e1003632. 33 indexed citations
13.
Echevarría‐Zomeño, Sira, Emilio Yángüez, Nuria Fernández‐Bautista, et al.. (2013). Regulation of Translation Initiation under Biotic and Abiotic Stresses. International Journal of Molecular Sciences. 14(3). 4670–4683. 38 indexed citations
14.
Yángüez, Emilio, et al.. (2011). Influenza virus polymerase confers independence of the cellular cap-binding factor eIF4E for viral mRNA translation. Virology. 422(2). 297–307. 29 indexed citations
15.
Yángüez, Emilio, et al.. (2011). Functional impairment of eIF4A and eIF4G factors correlates with inhibition of influenza virus mRNA translation. Virology. 413(1). 93–102. 26 indexed citations
16.
Yángüez, Emilio & Amelia Nieto. (2011). So similar, yet so different: Selective translation of capped and polyadenylated viral mRNAs in the influenza virus infected cell. Virus Research. 156(1-2). 1–12. 21 indexed citations
17.
Liu, Guangqing, Emilio Yángüez, Zongyan Chen, & Chuanfeng Li. (2011). The duck hepatitis virus 5'-UTR possesses HCV-like IRES activity that is independent of eIF4F complex and modulated by downstream coding sequences. Virology Journal. 8(1). 147–147. 9 indexed citations
18.
Blasco-Lafarga, Cristina, et al.. (2010). Linear and nonlinear heart rate dynamics in elderly inpatients. Relations with comorbidity and depression. Medicina. 46(6). 393–393. 14 indexed citations
19.
Salvador, Beatriz, Pilar Sáenz, Emilio Yángüez, et al.. (2007). Host‐specific effect of P1 exchange between two potyviruses. Molecular Plant Pathology. 9(2). 147–155. 61 indexed citations
20.
Yángüez, Emilio, et al.. (2007). Influenza Virus mRNA Translation Revisited: Is the eIF4E Cap-Binding Factor Required for Viral mRNA Translation?. Journal of Virology. 81(22). 12427–12438. 72 indexed citations

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.

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