Daniel Álvarez-Simón

668 total citations
17 papers, 118 citations indexed

About

Daniel Álvarez-Simón is a scholar working on Immunology, Physiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Daniel Álvarez-Simón has authored 17 papers receiving a total of 118 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 6 papers in Physiology and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Daniel Álvarez-Simón's work include Asthma and respiratory diseases (6 papers), Allergic Rhinitis and Sensitization (5 papers) and IL-33, ST2, and ILC Pathways (5 papers). Daniel Álvarez-Simón is often cited by papers focused on Asthma and respiratory diseases (6 papers), Allergic Rhinitis and Sensitization (5 papers) and IL-33, ST2, and ILC Pathways (5 papers). Daniel Álvarez-Simón collaborates with scholars based in Spain, France and Germany. Daniel Álvarez-Simón's co-authors include Anne Tsicopoulos, Patricia de Nadaı̈, María Jesús Cruz, Xavier Muñoz, Susana Gómez‐Ollés, Odile Poulain‐Godefroy, Saliha Ait Yahia, Ivo G. Boneca, Mathias Chamaillard and Myriam Delacre and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and International Journal of Molecular Sciences.

In The Last Decade

Daniel Álvarez-Simón

17 papers receiving 117 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Álvarez-Simón Spain 6 42 31 31 28 24 17 118
Qiwei Qian China 6 30 0.7× 40 1.3× 10 0.3× 31 1.1× 7 0.3× 12 128
Jun Seong Lee Canada 5 39 0.9× 23 0.7× 6 0.2× 47 1.7× 6 0.3× 6 129
Gerrit John-Schuster Germany 7 43 1.0× 11 0.4× 54 1.7× 87 3.1× 137 5.7× 9 242
Shinichi Namba Japan 8 20 0.5× 4 0.1× 27 0.9× 46 1.6× 12 0.5× 15 153
Ji-Chen Ho Taiwan 7 52 1.2× 5 0.2× 15 0.5× 23 0.8× 5 0.2× 7 199
Brad E. Damratoski United States 4 23 0.5× 10 0.3× 28 0.9× 43 1.5× 14 0.6× 4 86
Manuel Colucci Switzerland 5 25 0.6× 15 0.5× 64 2.1× 65 2.3× 17 0.7× 5 137
Sabine Loesgen Germany 5 38 0.9× 5 0.2× 106 3.4× 28 1.0× 28 1.2× 7 178
Alexia Loste France 2 37 0.9× 4 0.1× 14 0.5× 15 0.5× 6 0.3× 4 86
Faradiba Sarquis Serpa Brazil 6 13 0.3× 7 0.2× 20 0.6× 5 0.2× 20 0.8× 26 108

Countries citing papers authored by Daniel Álvarez-Simón

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Álvarez-Simón

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Álvarez-Simón. 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 Daniel Álvarez-Simón. The network helps show where Daniel Álvarez-Simón may publish in the future.

Co-authorship network of co-authors of Daniel Álvarez-Simón

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

All Works

17 of 17 papers shown
1.
Álvarez-Simón, Daniel, Saliha Ait Yahia, Martine Fanton d’Andon, et al.. (2024). Local receptor-interacting protein kinase 2 inhibition mitigates house dust mite-induced asthma. European Respiratory Journal. 64(4). 2302288–2302288. 2 indexed citations
2.
Chauvin, Camille, Daniel Álvarez-Simón, Katarina Radulović, et al.. (2023). NOD2 in monocytes negatively regulates macrophage development through TNFalpha. Frontiers in Immunology. 14. 1181823–1181823. 6 indexed citations
3.
Ahlers, Jonas, Laura Lozza, Frederik Heinrich, et al.. (2022). A Notch/STAT3-driven Blimp-1/c-Maf-dependent molecular switch induces IL-10 expression in human CD4+ T cells and is defective in Crohn´s disease patients. Mucosal Immunology. 15(3). 480–490. 15 indexed citations
4.
Álvarez-Simón, Daniel, Saliha Ait Yahia, Patricia de Nadaı̈, et al.. (2022). NOD-like receptors in asthma. Frontiers in Immunology. 13. 928886–928886. 10 indexed citations
5.
Yahia, Saliha Ait, Ying Fan, Daniel Álvarez-Simón, et al.. (2022). NOD2 Signaling Circuitry during Allergen Sensitization Does Not Worsen Experimental Neutrophilic Asthma but Promotes a Th2/Th17 Profile in Asthma Patients but Not Healthy Subjects. International Journal of Molecular Sciences. 23(19). 11894–11894. 2 indexed citations
6.
Álvarez-Simón, Daniel, Katarina Radulović, Myriam Delacre, et al.. (2021). 6th European Congress of Immunology, 1–4 September 2021, Virtual meeting. European Journal of Immunology. 51(S1). 1–448. 1 indexed citations
7.
Cruz, María Jesús, Daniel Álvarez-Simón, Tomás Montalvo, et al.. (2021). A rapid test for the environmental detection of pigeon antigen. The Science of The Total Environment. 788. 147789–147789. 4 indexed citations
8.
Yahia, Saliha Ait, Daniel Álvarez-Simón, Han Vorng, et al.. (2021). NOD1 sensing of house dust mite–derived microbiota promotes allergic experimental asthma. Journal of Allergy and Clinical Immunology. 148(2). 394–406. 14 indexed citations
9.
Poulain‐Godefroy, Odile, et al.. (2020). The Aryl Hydrocarbon Receptor in Asthma: Friend or Foe?. International Journal of Molecular Sciences. 21(22). 8797–8797. 26 indexed citations
10.
Ferrer, Jaume, et al.. (2020). Validation of an Asbestos Exposure Questionnaire (QEAS-7) for Clinical Practice. International Journal of Environmental Research and Public Health. 17(24). 9167–9167. 2 indexed citations
11.
Álvarez-Simón, Daniel & Susana Gómez‐Ollés. (2019). Development of a Dipstick Assay for Soy Allergens: Inexpensive Detection to Control Allergen Exposure. Methods in molecular biology. 2020. 175–184. 1 indexed citations
12.
Álvarez-Simón, Daniel, et al.. (2017). Effects of diesel exhaust particle exposure on a murine model of asthma due to soybean. PLoS ONE. 12(6). e0179569–e0179569. 22 indexed citations
13.
Cruz, María Jesús, et al.. (2017). First Identification of Pulmonary Asbestos Fibres in a Spanish Population. Lung. 195(5). 671–677. 1 indexed citations
14.
Cruz, María Jesús, Víctor Curull, Lara Pijuán, et al.. (2017). Utility of Bronchoalveolar Lavage for the Diagnosis of Asbestos-Related Diseases. Archivos de Bronconeumología. 53(6). 318–323. 4 indexed citations
15.
Cruz, María Jesús, Víctor Curull, Lara Pijuán, et al.. (2016). Utilidad del lavado broncoalveolar en el diagnóstico de enfermedades relacionadas con el amianto. Archivos de Bronconeumología. 53(6). 318–323. 4 indexed citations
16.
Álvarez-Simón, Daniel, María Jesús Cruz, Xavier Muñoz, et al.. (2014). A Rapid Test for Soy Aeroallergens Exposure Assessment. PLoS ONE. 9(2). e88676–e88676. 3 indexed citations
17.
Álvarez-Simón, Daniel, et al.. (2013). Protein identification of two allergens of boletus edulis causing occupational asthma. 42. 4237. 1 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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