Eva Rodríguez‐Suárez

1.6k total citations
23 papers, 1.2k citations indexed

About

Eva Rodríguez‐Suárez is a scholar working on Molecular Biology, Spectroscopy and Immunology. According to data from OpenAlex, Eva Rodríguez‐Suárez has authored 23 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 5 papers in Spectroscopy and 5 papers in Immunology. Recurrent topics in Eva Rodríguez‐Suárez's work include Metabolomics and Mass Spectrometry Studies (5 papers), Mass Spectrometry Techniques and Applications (5 papers) and Extracellular vesicles in disease (4 papers). Eva Rodríguez‐Suárez is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (5 papers), Mass Spectrometry Techniques and Applications (5 papers) and Extracellular vesicles in disease (4 papers). Eva Rodríguez‐Suárez collaborates with scholars based in Spain, United States and United Kingdom. Eva Rodríguez‐Suárez's co-authors include Félix Elortza, José M. Mato, Juan Manuel Falcón‐Pérez, Shelly C. Lu, Javier Conde‐Vancells, Rune Matthiesen, David Gil‐Carton, Mikel Valle, Nieves Embade and Anthony D. Whetton and has published in prestigious journals such as PLoS ONE, Journal of Allergy and Clinical Immunology and Annals of the Rheumatic Diseases.

In The Last Decade

Eva Rodríguez‐Suárez

22 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eva Rodríguez‐Suárez Spain 14 864 382 152 148 142 23 1.2k
Licheng Dai China 21 706 0.8× 235 0.6× 119 0.8× 136 0.9× 40 0.3× 56 1.3k
Shengming Dai China 17 1.1k 1.3× 838 2.2× 105 0.7× 233 1.6× 33 0.2× 35 1.5k
Javier Conde‐Vancells Spain 11 929 1.1× 467 1.2× 224 1.5× 114 0.8× 20 0.1× 13 1.2k
Wendong Yu United States 20 690 0.8× 174 0.5× 38 0.3× 116 0.8× 387 2.7× 41 1.3k
Bong Kyung Shin South Korea 16 511 0.6× 115 0.3× 115 0.8× 123 0.8× 94 0.7× 52 1.1k
Udo Kellner Germany 20 636 0.7× 343 0.9× 69 0.5× 113 0.8× 40 0.3× 47 1.2k
Karen Oliva Australia 18 451 0.5× 144 0.4× 85 0.6× 97 0.7× 230 1.6× 34 1.1k
Kazuyasu Fujii Japan 20 451 0.5× 82 0.2× 134 0.9× 179 1.2× 198 1.4× 59 1.1k
Shengtao Zhu China 20 925 1.1× 458 1.2× 73 0.5× 200 1.4× 13 0.1× 70 1.3k

Countries citing papers authored by Eva Rodríguez‐Suárez

Since Specialization
Citations

This map shows the geographic impact of Eva Rodríguez‐Suárez'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 Eva Rodríguez‐Suárez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Rodríguez‐Suárez more than expected).

Fields of papers citing papers by Eva Rodríguez‐Suárez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eva Rodríguez‐Suárez. 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 Eva Rodríguez‐Suárez. The network helps show where Eva Rodríguez‐Suárez may publish in the future.

Co-authorship network of co-authors of Eva Rodríguez‐Suárez

This figure shows the co-authorship network connecting the top 25 collaborators of Eva Rodríguez‐Suárez. A scholar is included among the top collaborators of Eva Rodríguez‐Suárez 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 Eva Rodríguez‐Suárez. Eva Rodríguez‐Suárez 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.
Hellmich, Bernhard, Arnaud Bourdin, David Jayne, et al.. (2025). The Effect of Benralizumab and Mepolizumab on Use of Oral Glucocorticoids in Patients With Eosinophilic Granulomatosis With Polyangiitis. Arthritis & Rheumatology. 78(3). 695–704.
2.
Merkel, Peter A., Parameswaran Nair, Nader Khalidi, et al.. (2025). Two-year efficacy and safety of anti-interleukin-5/receptor therapy for eosinophilic granulomatosis with polyangiitis. Annals of the Rheumatic Diseases. 84(11). 1888–1899. 2 indexed citations
3.
Wechsler, Michael E., Parameswaran Nair, Nader Khalidi, et al.. (2025). Two-Year Efficacy and Safety of Benralizumab for the Treatment of Eosinophilic Granulomatosis with Polyangiitis. Journal of Allergy and Clinical Immunology. 155(2). AB430–AB430. 1 indexed citations
4.
5.
Mukherjee, Manali, Chynna Huang, Brian Kim, et al.. (2024). Late Breaking Abstract - Benralizumab reduces eosinophils and ANCA in sputum in EGPA. PA5372–PA5372. 1 indexed citations
6.
Rodríguez‐Suárez, Eva, Michael E. Wechsler, Peter A. Merkel, et al.. (2024). Effect of treatment with benralizumab or mepolizumab on the serum proteome in eosinophilic granulomatosis with polyangiitis. PA828–PA828. 1 indexed citations
7.
González, Esperanza, Marco Piva, Eva Rodríguez‐Suárez, et al.. (2014). Human Mammospheres Secrete Hormone-Regulated Active Extracellular Vesicles. PLoS ONE. 9(1). e83955–e83955. 13 indexed citations
8.
Rodríguez‐Suárez, Eva, Esperanza González, Chris Hughes, et al.. (2014). Quantitative proteomic analysis of hepatocyte-secreted extracellular vesicles reveals candidate markers for liver toxicity. Journal of Proteomics. 103. 227–240. 63 indexed citations
9.
Rodríguez‐Suárez, Eva, Chris Hughes, Lee A. Gethings, et al.. (2013). An Ion Mobility Assisted Data Independent LC-MS Strategy for the Analysis of Complex Biological Samples. Current Analytical Chemistry. 9(2). 199–211. 28 indexed citations
10.
Rodríguez‐Suárez, Eva, Justyna Siwy, Petra Zürbig, & Harald Mischak. (2013). Urine as a source for clinical proteome analysis: From discovery to clinical application. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1844(5). 884–898. 77 indexed citations
11.
Rodríguez‐Suárez, Eva, Lee A. Gethings, Kevin Giles, et al.. (2013). An Ion Mobility Assisted Data Independent LC-MS Strategy for the Analysis of Complex Biological Samples. Current Analytical Chemistry. 9(2). 199–211. 14 indexed citations
12.
Rodríguez‐Suárez, Eva & Anthony D. Whetton. (2012). The application of quantification techniques in proteomics for biomedical research. Mass Spectrometry Reviews. 32(1). 1–26. 56 indexed citations
13.
Rodríguez‐Suárez, Eva, José M. Mato, & Félix Elortza. (2012). Proteomics Analysis of Human Nonalcoholic Fatty Liver. Methods in molecular biology. 909. 241–258. 16 indexed citations
14.
Lopitz‐Otsoa, Fernando, Eva Rodríguez‐Suárez, Fabienne Aillet, et al.. (2011). Integrative analysis of the ubiquitin proteome isolated using Tandem Ubiquitin Binding Entities (TUBEs). Journal of Proteomics. 75(10). 2998–3014. 69 indexed citations
15.
Casado‐Vela, Juan, Eva Rodríguez‐Suárez, Ibón Iloro, et al.. (2010). Comprehensive proteomic analysis of human endometrial fluid aspirate. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 50–53. 1 indexed citations
16.
Griffiths, Stephen D., Eva Rodríguez‐Suárez, Andrew Pierce, et al.. (2010). Assessment of downstream effectors of BCR/ABL protein tyrosine kinase using combined proteomic approaches. PROTEOMICS. 10(18). 3321–3342. 15 indexed citations
17.
Rodríguez‐Suárez, Eva, Itziar Frades, Juan Manuel Falcón‐Pérez, et al.. (2010). Virtual Expert Mass Spectrometrist: iTRAQ tool for database‐dependent search, quantitation and result storage. PROTEOMICS. 10(8). 1545–1556. 19 indexed citations
18.
Rodríguez‐Suárez, Eva, Antonio Martín Duce, Juan Caballería, et al.. (2010). Non‐alcoholic fatty liver disease proteomics. PROTEOMICS - CLINICAL APPLICATIONS. 4(4). 362–371. 49 indexed citations
19.
Conde‐Vancells, Javier, Eva Rodríguez‐Suárez, Esperanza González, et al.. (2010). Candidate biomarkers in exosome‐like vesicles purified from rat and mouse urine samples. PROTEOMICS - CLINICAL APPLICATIONS. 4(4). 416–425. 108 indexed citations
20.
Ibarra, Miren Josu Omaetxebarria, Félix Elortza, Eva Rodríguez‐Suárez, et al.. (2007). Computational approach for identification and characterization of GPI‐anchored peptides in proteomics experiments. PROTEOMICS. 7(12). 1951–1960. 5 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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