A Sánchez-Ibarrola

39 total papers · 791 total citations
26 papers, 558 citations indexed

About

A Sánchez-Ibarrola is a scholar working on Immunology, Rheumatology and Pathology and Forensic Medicine. According to data from OpenAlex, A Sánchez-Ibarrola has authored 26 papers receiving a total of 558 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Immunology, 6 papers in Rheumatology and 5 papers in Pathology and Forensic Medicine. Recurrent topics in A Sánchez-Ibarrola's work include T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (5 papers) and Immune Response and Inflammation (3 papers). A Sánchez-Ibarrola is often cited by papers focused on T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (5 papers) and Immune Response and Inflammation (3 papers). A Sánchez-Ibarrola collaborates with scholars based in Spain, United States and United Kingdom. A Sánchez-Ibarrola's co-authors include Juan Francisco Merino-Torres, M L Subirá, Susana Inogés, Eva Bandrés, Cristina Moreno, Berta N. Vázquez, Miguel Ángel Martínez‐González, M. Rubio, Esther Luquin and Marta Ferrer and has published in prestigious journals such as Journal of Hepatology, Journal of Immunological Methods and British Journal of Dermatology.

In The Last Decade

A Sánchez-Ibarrola

25 papers receiving 545 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
A Sánchez-Ibarrola 281 106 82 82 59 26 558
Milan Buc 287 1.0× 148 1.4× 157 1.9× 71 0.9× 51 0.9× 44 670
Johannes Fessler 335 1.2× 124 1.2× 51 0.6× 61 0.7× 71 1.2× 25 632
Kanae Kubo 131 0.5× 178 1.7× 67 0.8× 94 1.1× 47 0.8× 29 542
Georgia Avgerinou 195 0.7× 109 1.0× 138 1.7× 118 1.4× 54 0.9× 33 572
Lillian Staub Nielsen 325 1.2× 123 1.2× 54 0.7× 47 0.6× 21 0.4× 21 619
Erin Boh 145 0.5× 179 1.7× 136 1.7× 129 1.6× 64 1.1× 48 607
H. Kiener 153 0.5× 139 1.3× 122 1.5× 47 0.6× 67 1.1× 31 643
Ágnes Gyetvai 221 0.8× 255 2.4× 82 1.0× 153 1.9× 55 0.9× 23 684
Michaela Fux 256 0.9× 79 0.7× 32 0.4× 64 0.8× 45 0.8× 30 572
Lorena Álvarez‐Rodríguez 185 0.7× 167 1.6× 50 0.6× 57 0.7× 37 0.6× 25 526

Countries citing papers authored by A Sánchez-Ibarrola

Since Specialization
Citations

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

Fields of papers citing papers by A Sánchez-Ibarrola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A Sánchez-Ibarrola. 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 A Sánchez-Ibarrola. The network helps show where A Sánchez-Ibarrola may publish in the future.

Co-authorship network of co-authors of A Sánchez-Ibarrola

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

All Works

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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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