Laia Vilà

20 papers and 880 indexed citations i.

About

Laia Vilà is a scholar working on Molecular Biology, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Laia Vilà has authored 20 papers receiving a total of 880 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Surgery and 7 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Laia Vilà’s work include Diet, Metabolism, and Disease (6 papers), Pancreatic Islet Dysfunction and Regeneration (5 papers) and Adipose Tissue and Metabolism (5 papers). Laia Vilà is often cited by papers focused on Diet, Metabolism, and Disease (6 papers), Pancreatic Islet Dysfunction and Regeneration (5 papers) and Adipose Tissue and Metabolism (5 papers). Laia Vilà collaborates with scholars based in Spain, France and United States. Laia Vilà's co-authors include Juan C. Laguna, Núria Roglans, Marta Alegret, Manuel Vázquez‐Carrera, Rosa María Galán Sánchez, Fátima Bosch, Tura Ferré, Sylvie Franckhauser, Ivet Elias and Jesús Ruberte and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Hepatology.

In The Last Decade

Co-authorship network of co-authors of Laia Vilà i

Fields of papers citing papers by Laia Vilà

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Laia Vilà

Since Specialization
Citations

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