Joan Gaya

36 papers and 2.6k indexed citations i.

About

Joan Gaya is a scholar working on Hepatology, Epidemiology and Surgery. According to data from OpenAlex, Joan Gaya has authored 36 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Hepatology, 13 papers in Epidemiology and 10 papers in Surgery. Recurrent topics in Joan Gaya’s work include Liver Disease and Transplantation (22 papers), Liver Disease Diagnosis and Treatment (13 papers) and Renal function and acid-base balance (6 papers). Joan Gaya is often cited by papers focused on Liver Disease and Transplantation (22 papers), Liver Disease Diagnosis and Treatment (13 papers) and Renal function and acid-base balance (6 papers). Joan Gaya collaborates with scholars based in Spain, Italy and United States. Joan Gaya's co-authors include Vicente Arroyo, Joan Rodés, Antoni Rimola, Pere Ginès, Wladimiro Jiménez, Francisca Rivera, Ramón Planas, Jordi Camps, Josep Llach and Salvatore Badalamenti and has published in prestigious journals such as Gastroenterology, Hepatology and Diabetes Care.

In The Last Decade

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

Fields of papers citing papers by Joan Gaya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Joan Gaya

Since Specialization
Citations

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