Gema Díaz‐Gil

29 papers and 751 indexed citations i.

About

Gema Díaz‐Gil is a scholar working on Molecular Biology, Immunology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Gema Díaz‐Gil has authored 29 papers receiving a total of 751 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Immunology and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Gema Díaz‐Gil’s work include Immune Cell Function and Interaction (7 papers), Long-Term Effects of COVID-19 (5 papers) and T-cell and B-cell Immunology (4 papers). Gema Díaz‐Gil is often cited by papers focused on Immune Cell Function and Interaction (7 papers), Long-Term Effects of COVID-19 (5 papers) and T-cell and B-cell Immunology (4 papers). Gema Díaz‐Gil collaborates with scholars based in Spain, Denmark and United Kingdom. Gema Díaz‐Gil's co-authors include Francisco Gómez‐Esquer, José M. Escribano, Covadonga Alonso, Bruno Hernáez, Javier Arroyo, J. Schneider, Mayte Coiras, Marina Pollán, David Agudo and César Nombela and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and FEBS Letters.

In The Last Decade

Co-authorship network of co-authors of Gema Díaz‐Gil i

Fields of papers citing papers by Gema Díaz‐Gil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gema Díaz‐Gil. 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 Gema Díaz‐Gil. The network helps show where Gema Díaz‐Gil may publish in the future.

Countries citing papers authored by Gema Díaz‐Gil

Since Specialization
Citations

This map shows the geographic impact of Gema Díaz‐Gil'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 Gema Díaz‐Gil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gema Díaz‐Gil 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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