Iraide Alloza

8.3k total citations · 1 hit paper
38 papers, 1.3k citations indexed

About

Iraide Alloza is a scholar working on Immunology, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Iraide Alloza has authored 38 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Immunology, 15 papers in Molecular Biology and 6 papers in Pathology and Forensic Medicine. Recurrent topics in Iraide Alloza's work include Toxin Mechanisms and Immunotoxins (8 papers), Cytokine Signaling Pathways and Interactions (6 papers) and Multiple Sclerosis Research Studies (5 papers). Iraide Alloza is often cited by papers focused on Toxin Mechanisms and Immunotoxins (8 papers), Cytokine Signaling Pathways and Interactions (6 papers) and Multiple Sclerosis Research Studies (5 papers). Iraide Alloza collaborates with scholars based in Spain, United Kingdom and Belgium. Iraide Alloza's co-authors include Koen Vandenbroeck, Shifa Jebari‐Benslaiman, Asier Benito‐Vicente, Asier Larrea‐Sebal, Unai Galicia-García, César Martı́n, Javier Rekondo Olaetxea, Alfredo Rodríguez Antigüedad, An Goris and Shirley Heggarty and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and PLoS ONE.

In The Last Decade

Iraide Alloza

38 papers receiving 1.3k citations

Hit Papers

Pathophysiology of Atherosclerosis 2022 2026 2023 2024 2022 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Iraide Alloza Spain 19 532 396 168 165 162 38 1.3k
Óscar López‐Franco Spain 24 608 1.1× 601 1.5× 148 0.9× 154 0.9× 317 2.0× 40 1.6k
Quanxing Wang China 24 479 0.9× 476 1.2× 198 1.2× 139 0.8× 183 1.1× 45 1.4k
Nicola Martelli Italy 22 496 0.9× 520 1.3× 145 0.9× 210 1.3× 198 1.2× 33 1.7k
Qiutang Zeng China 23 588 1.1× 557 1.4× 216 1.3× 183 1.1× 168 1.0× 63 1.5k
Yujun Xu China 22 385 0.7× 445 1.1× 151 0.9× 175 1.1× 214 1.3× 64 1.3k
Hongtao Lu China 18 375 0.7× 747 1.9× 146 0.9× 195 1.2× 283 1.7× 65 1.6k
Begoña Muñoz‐García Spain 17 394 0.7× 470 1.2× 155 0.9× 191 1.2× 123 0.8× 19 1.1k
Christine Lohmann Switzerland 23 604 1.1× 555 1.4× 353 2.1× 359 2.2× 248 1.5× 32 2.0k
Liping Meng China 19 192 0.4× 560 1.4× 131 0.8× 104 0.6× 149 0.9× 51 1.1k
Lu Gao China 20 241 0.5× 599 1.5× 171 1.0× 183 1.1× 191 1.2× 63 1.2k

Countries citing papers authored by Iraide Alloza

Since Specialization
Citations

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

Fields of papers citing papers by Iraide Alloza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Iraide Alloza. 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 Iraide Alloza. The network helps show where Iraide Alloza may publish in the future.

Co-authorship network of co-authors of Iraide Alloza

This figure shows the co-authorship network connecting the top 25 collaborators of Iraide Alloza. A scholar is included among the top collaborators of Iraide Alloza 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 Iraide Alloza. Iraide Alloza 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.
Alloza, Iraide, Javier Díez‐García, Cecilia Lindskog, et al.. (2022). Genomic Multiple Sclerosis Risk Variants Modulate the Expression of the ANKRD55–IL6ST Gene Region in Immature Dendritic Cells. Frontiers in Immunology. 12. 816930–816930. 6 indexed citations
2.
Alloza, Iraide, et al.. (2019). Interactome of the Autoimmune Risk Protein ANKRD55. Frontiers in Immunology. 10. 2067–2067. 20 indexed citations
3.
Vandenbroeck, Koen, et al.. (2018). Inflammation in human carotid atheroma plaques. Cytokine & Growth Factor Reviews. 39. 62–70. 23 indexed citations
4.
Paton, Adrienne W., James C. Paton, Francisco Borrego, et al.. (2018). Long Interleukin-22 Binding Protein Isoform-1 Is an Intracellular Activator of the Unfolded Protein Response. Frontiers in Immunology. 9. 2934–2934. 9 indexed citations
5.
6.
Alloza, Iraide, et al.. (2016). A role for autophagy in carotid atherosclerosis. European Stroke Journal. 1(4). 255–263. 12 indexed citations
7.
Feliú, Ana, Míriam Mecha, Ianire Astobiza, et al.. (2016). Novel Insights into the Multiple Sclerosis Risk Gene ANKRD55. The Journal of Immunology. 196(11). 4553–4565. 13 indexed citations
8.
Varadé, Jezabel, Marta García‐Montojo, Antonio Alcina, et al.. (2014). Human Endogenous Retrovirus HERV-Fc1 Association with Multiple Sclerosis Susceptibility: A Meta-Analysis. PLoS ONE. 9(3). e90182–e90182. 28 indexed citations
9.
Swaminathan, Bhairavi, et al.. (2014). Autophagic Marker MAP1LC3B Expression Levels Are Associated with Carotid Atherosclerosis Symptomatology. PLoS ONE. 9(12). e115176–e115176. 37 indexed citations
10.
Swaminathan, Bhairavi, Angélica Cuapio, Iraide Alloza, et al.. (2013). Fine Mapping and Functional Analysis of the Multiple Sclerosis Risk Gene CD6. PLoS ONE. 8(4). e62376–e62376. 16 indexed citations
11.
Alloza, Iraide, Robert Goertsches, Uwe K. Zettl, et al.. (2012). Analysis of the IL28RA locus as genetic risk factor for multiple sclerosis. Journal of Neuroimmunology. 245(1-2). 98–101. 10 indexed citations
12.
Vandenbroeck, Koen, J. Álvarez, Bhairavi Swaminathan, et al.. (2011). A cytokine gene screen uncovers SOCS1 as genetic risk factor for multiple sclerosis. Genes and Immunity. 13(1). 21–28. 49 indexed citations
13.
15.
Vandenbroeck, Koen, Erik Martens, & Iraide Alloza. (2006). Multi-chaperone complexes regulate the folding of interferon-γ in the endoplasmic reticulum. Cytokine. 33(5). 264–273. 27 indexed citations
16.
Suppiah, Vijayaprakash, An Goris, Iraide Alloza, et al.. (2005). Polymorphisms in the interleukin‐4 and IL‐4 receptor genes and multiple sclerosis: a study in Spanish‐Basque, Northern Irish and Belgian populations. International Journal of Immunogenetics. 32(6). 383–388. 29 indexed citations
17.
Kantarci, Orhun H., An Goris, David D. Hebrink, et al.. (2005). IFNG polymorphisms are associated with gender differences in susceptibility to multiple sclerosis. Genes and Immunity. 6(2). 153–161. 46 indexed citations
18.
Alloza, Iraide, Erik Martens, Susan Hawthorne, & Koen Vandenbroeck. (2003). Cross-linking approach to affinity capture of protein complexes from chaotrope-solubilized cell lysates. Analytical Biochemistry. 324(1). 137–142. 17 indexed citations
19.
Vandenbroeck, Koen, Iraide Alloza, Dirk Brehmer, et al.. (2002). The Conserved Helix C Region in the Superfamily of Interferon-γ/Interleukin-10-related Cytokines Corresponds to a High-affinity Binding Site for the HSP70 Chaperone DnaK. Journal of Biological Chemistry. 277(28). 25668–25676. 15 indexed citations
20.
Martens, Erik, Iraide Alloza, Christopher J. Scott, Alfons Billiau, & Koen Vandenbroeck. (2000). Protein disulfide isomerase‐mediated cell‐free assembly of recombinant interleukin‐12 p40 homodimers. European Journal of Biochemistry. 267(22). 6679–6683. 14 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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