Aina Aguiló‐Cucurull

490 total citations
8 papers, 86 citations indexed

About

Aina Aguiló‐Cucurull is a scholar working on Immunology, Genetics and Immunology and Allergy. According to data from OpenAlex, Aina Aguiló‐Cucurull has authored 8 papers receiving a total of 86 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 4 papers in Genetics and 2 papers in Immunology and Allergy. Recurrent topics in Aina Aguiló‐Cucurull's work include Immunodeficiency and Autoimmune Disorders (5 papers), Chronic Lymphocytic Leukemia Research (3 papers) and Cell Adhesion Molecules Research (2 papers). Aina Aguiló‐Cucurull is often cited by papers focused on Immunodeficiency and Autoimmune Disorders (5 papers), Chronic Lymphocytic Leukemia Research (3 papers) and Cell Adhesion Molecules Research (2 papers). Aina Aguiló‐Cucurull collaborates with scholars based in Spain, Australia and Palestinian Territory. Aina Aguiló‐Cucurull's co-authors include Marina García-Prat, Roger Colobrán, Mónica Martínez‐Gallo, Clara Franco‐Jarava, Andrea Martín‐Nalda, Pere Soler‐Palacín, Ricardo Pujol‐Borrell, Daniel Álvarez‐Sierra, I Montserrat and M. Hernández and has published in prestigious journals such as Frontiers in Immunology, Journal of Clinical Immunology and Cytometry Part B Clinical Cytometry.

In The Last Decade

Aina Aguiló‐Cucurull

8 papers receiving 86 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aina Aguiló‐Cucurull Spain 5 58 27 13 12 11 8 86
Ivana Malkusová Czechia 5 67 1.2× 17 0.6× 18 1.4× 13 1.1× 13 1.2× 8 112
Afshin Shirkani Iran 7 65 1.1× 28 1.0× 24 1.8× 16 1.3× 9 0.8× 23 141
Marcela Moncada‐Vélez Colombia 6 51 0.9× 19 0.7× 22 1.7× 24 2.0× 4 0.4× 8 71
Anna Shrimpton United Kingdom 6 41 0.7× 9 0.3× 10 0.8× 18 1.5× 6 0.5× 10 103
Ryan Malcolm Hum United Kingdom 6 24 0.4× 24 0.9× 18 1.4× 16 1.3× 6 0.5× 19 91
Ileana Moreira Argentina 3 56 1.0× 21 0.8× 7 0.5× 5 0.4× 8 0.7× 4 67
Daiei Kojima Japan 5 37 0.6× 13 0.5× 5 0.4× 7 0.6× 10 0.9× 9 62
Lucila Akune Barreiros Brazil 4 67 1.2× 35 1.3× 11 0.8× 15 1.3× 12 1.1× 7 90
Seyed Mohammad Fathi Iran 6 71 1.2× 20 0.7× 19 1.5× 15 1.3× 5 0.5× 9 136
Sevgi Bilgiç Eltan Türkiye 5 41 0.7× 17 0.6× 5 0.4× 12 1.0× 4 0.4× 18 71

Countries citing papers authored by Aina Aguiló‐Cucurull

Since Specialization
Citations

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

Fields of papers citing papers by Aina Aguiló‐Cucurull

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aina Aguiló‐Cucurull. 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 Aina Aguiló‐Cucurull. The network helps show where Aina Aguiló‐Cucurull may publish in the future.

Co-authorship network of co-authors of Aina Aguiló‐Cucurull

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

All Works

8 of 8 papers shown
1.
Aguiló‐Cucurull, Aina, et al.. (2025). De Novo or inherited: gonosomal mosaicism in hereditary angioedema due to C1 inhibitor deficiency. Frontiers in Immunology. 16. 1550380–1550380. 1 indexed citations
2.
García-Prat, Marina, Alba Parra-Martínez, Aina Aguiló‐Cucurull, et al.. (2024). Heterozygous Predicted Loss-of-function Variants of TRAF3 in Patients with Common Variable Immunodeficiency. Journal of Clinical Immunology. 45(1). 47–47. 1 indexed citations
3.
García-Prat, Marina, Alba Parra-Martínez, Clara Franco‐Jarava, et al.. (2024). Role of Skewed X-Chromosome Inactivation in Common Variable Immunodeficiency. Journal of Clinical Immunology. 44(2). 54–54. 1 indexed citations
4.
Rivière, Jacques G., Clara Franco‐Jarava, Andrea Martín‐Nalda, et al.. (2023). Molecular Challenges in the Diagnosis of X-Linked Chronic Granulomatous Disease: CNVs, Intronic Variants, Skewed X-Chromosome Inactivation, and Gonosomal Mosaicism. Journal of Clinical Immunology. 43(8). 1953–1963. 5 indexed citations
5.
García-Prat, Marina, Alba Parra-Martínez, Clara Franco‐Jarava, et al.. (2022). Detection and evolutionary dynamics of somatic FAS variants in autoimmune lymphoproliferative syndrome: Diagnostic implications. Frontiers in Immunology. 13. 1014984–1014984. 4 indexed citations
6.
Labrador‐Horrillo, Moisés, Clara Franco‐Jarava, Marina García-Prat, et al.. (2022). Case Report: X-Linked SASH3 Deficiency Presenting as a Common Variable Immunodeficiency. Frontiers in Immunology. 13. 881206–881206. 8 indexed citations
7.
Rivière, Jacques G., Clara Franco‐Jarava, Mónica Martínez‐Gallo, et al.. (2020). Uncovering Low-Level Maternal Gonosomal Mosaicism in X-Linked Agammaglobulinemia: Implications for Genetic Counseling. Frontiers in Immunology. 11. 46–46. 4 indexed citations
8.
García-Prat, Marina, Daniel Álvarez‐Sierra, Aina Aguiló‐Cucurull, et al.. (2018). Extended immunophenotyping reference values in a healthy pediatric population. Cytometry Part B Clinical Cytometry. 96(3). 223–233. 62 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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