Patricia Arcia

34 papers and 314 indexed citations i.

About

Patricia Arcia is a scholar working on Food Science, Nutrition and Dietetics and Plant Science. According to data from OpenAlex, Patricia Arcia has authored 34 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Food Science, 17 papers in Nutrition and Dietetics and 7 papers in Plant Science. Recurrent topics in Patricia Arcia’s work include Food composition and properties (13 papers), Sensory Analysis and Statistical Methods (12 papers) and Microbial Metabolites in Food Biotechnology (9 papers). Patricia Arcia is often cited by papers focused on Food composition and properties (13 papers), Sensory Analysis and Statistical Methods (12 papers) and Microbial Metabolites in Food Biotechnology (9 papers). Patricia Arcia collaborates with scholars based in Uruguay, Spain and Argentina. Patricia Arcia's co-authors include Amparo Tárrega, Sonia Cozzano, E. Costell, M. Dolores del Castillo, Isabel Hernando, Ana M. Pérez, Gemma Moraga, Amparo Quiles, Gastón Ares and Joanna Lado and has published in prestigious journals such as Journal of Dairy Science, Nutrients and Food Research International.

In The Last Decade

Co-authorship network of co-authors of Patricia Arcia i

Fields of papers citing papers by Patricia Arcia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Patricia Arcia

Since Specialization
Citations

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