Mauro Gaya

14 papers and 682 indexed citations i.

About

Mauro Gaya is a scholar working on Immunology, Molecular Biology and Epidemiology. According to data from OpenAlex, Mauro Gaya has authored 14 papers receiving a total of 682 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Immunology, 3 papers in Molecular Biology and 3 papers in Epidemiology. Recurrent topics in Mauro Gaya’s work include T-cell and B-cell Immunology (10 papers), Immune Cell Function and Interaction (10 papers) and Diabetes and associated disorders (2 papers). Mauro Gaya is often cited by papers focused on T-cell and B-cell Immunology (10 papers), Immune Cell Function and Interaction (10 papers) and Diabetes and associated disorders (2 papers). Mauro Gaya collaborates with scholars based in United Kingdom, United States and France. Mauro Gaya's co-authors include Facundo D. Batista, Andreas Bruckbauer, Beatriz Montaner, Angelo Castello, Marianne Burbage, Carlson Tsui, Paula Maldonado, Núria Martínez, Caetano Reis e Sousa and Neil C. Rogers and has published in prestigious journals such as Science, Cell and The Journal of Experimental Medicine.

In The Last Decade

Co-authorship network of co-authors of Mauro Gaya i

Fields of papers citing papers by Mauro Gaya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mauro Gaya

Since Specialization
Citations

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

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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2025