Pía Riestra

28 papers and 446 indexed citations i.

About

Pía Riestra is a scholar working on Epidemiology, Physiology and Endocrine and Autonomic Systems. According to data from OpenAlex, Pía Riestra has authored 28 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Epidemiology, 15 papers in Physiology and 9 papers in Endocrine and Autonomic Systems. Recurrent topics in Pía Riestra’s work include Adipokines, Inflammation, and Metabolic Diseases (14 papers), Adipose Tissue and Metabolism (11 papers) and Regulation of Appetite and Obesity (8 papers). Pía Riestra is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (14 papers), Adipose Tissue and Metabolism (11 papers) and Regulation of Appetite and Obesity (8 papers). Pía Riestra collaborates with scholars based in United States, Spain and Italy. Pía Riestra's co-authors include Rumana Khan, Rui‐Hua Xu, Sharon Davis, Samson Y. Gebreab, Cármen Garcés, Manuel de Oya, Alicia García-Anguita, Amadou Gaye, Mario Sims and Stefanie Schoppen and has published in prestigious journals such as The FASEB Journal, Journal of Nutrition and Arteriosclerosis Thrombosis and Vascular Biology.

In The Last Decade

Co-authorship network of co-authors of Pía Riestra i

Fields of papers citing papers by Pía Riestra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Pía Riestra

Since Specialization
Citations

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