Mercedes Garcia‐Gil

62 papers and 1.4k indexed citations i.

About

Mercedes Garcia‐Gil is a scholar working on Molecular Biology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Mercedes Garcia‐Gil has authored 62 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 17 papers in Physiology and 10 papers in Cellular and Molecular Neuroscience. Recurrent topics in Mercedes Garcia‐Gil’s work include Sphingolipid Metabolism and Signaling (16 papers), Adenosine and Purinergic Signaling (12 papers) and Biochemical and Molecular Research (10 papers). Mercedes Garcia‐Gil is often cited by papers focused on Sphingolipid Metabolism and Signaling (16 papers), Adenosine and Purinergic Signaling (12 papers) and Biochemical and Molecular Research (10 papers). Mercedes Garcia‐Gil collaborates with scholars based in Italy, France and Spain. Mercedes Garcia‐Gil's co-authors include Maria Grazia Tozzi, Marcella Camici, Laura Colombaioni, Rossana Pesi, S. Allegrini, Elisabetta Albi, R P Siraganian, Elisabetta Meacci, Michela Codini and Marcello Brunelli and has published in prestigious journals such as The Journal of Immunology, Brain Research and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Mercedes Garcia‐Gil i

Fields of papers citing papers by Mercedes Garcia‐Gil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mercedes Garcia‐Gil

Since Specialization
Citations

This map shows the geographic impact of Mercedes Garcia‐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 Mercedes Garcia‐Gil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mercedes Garcia‐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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2025