Ana Pinto de Moura

32 papers and 605 indexed citations i.

About

Ana Pinto de Moura is a scholar working on Food Science, Plant Science and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Ana Pinto de Moura has authored 32 papers receiving a total of 605 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Food Science, 8 papers in Plant Science and 8 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Ana Pinto de Moura’s work include Sensory Analysis and Statistical Methods (11 papers), Organic Food and Agriculture (7 papers) and Consumer Attitudes and Food Labeling (4 papers). Ana Pinto de Moura is often cited by papers focused on Sensory Analysis and Statistical Methods (11 papers), Organic Food and Agriculture (7 papers) and Consumer Attitudes and Food Labeling (4 papers). Ana Pinto de Moura collaborates with scholars based in Portugal, Ireland and Brazil. Ana Pinto de Moura's co-authors include Luís Miguel Cunha, Maria Daniel Vaz de Almeida, Rosires Deliza, Gastón Ares, Luís Guerrero, Anna Claret, Ronan Symoneaux, Denize Oliveira, Ana Giménez and Rui Costa Lima and has published in prestigious journals such as Nutrients, Sustainability and Materials.

In The Last Decade

Co-authorship network of co-authors of Ana Pinto de Moura i

Fields of papers citing papers by Ana Pinto de Moura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ana Pinto de Moura. 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 Ana Pinto de Moura. The network helps show where Ana Pinto de Moura may publish in the future.

Countries citing papers authored by Ana Pinto de Moura

Since Specialization
Citations

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