Katiane Roversi

37 papers and 445 indexed citations i.

About

Katiane Roversi is a scholar working on Cellular and Molecular Neuroscience, Nutrition and Dietetics and Physiology. According to data from OpenAlex, Katiane Roversi has authored 37 papers receiving a total of 445 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cellular and Molecular Neuroscience, 11 papers in Nutrition and Dietetics and 10 papers in Physiology. Recurrent topics in Katiane Roversi’s work include Fatty Acid Research and Health (7 papers), Biochemical Analysis and Sensing Techniques (5 papers) and Adipose Tissue and Metabolism (5 papers). Katiane Roversi is often cited by papers focused on Fatty Acid Research and Health (7 papers), Biochemical Analysis and Sensing Techniques (5 papers) and Adipose Tissue and Metabolism (5 papers). Katiane Roversi collaborates with scholars based in Brazil, Canada and Sweden. Katiane Roversi's co-authors include Marilise Escobar Bürger, Camila Simonetti Pase, Karine Roversi, Verônica Tironi Dias, Caren Tatiane de David Antoniazzi, Dalila Moter Benvegnú, Nardeli Boufleur, Raquel Cristine Silva Barcelos, Tatiana Emanuelli and Fabíola Trevizol and has published in prestigious journals such as Brain Research, Journal of Allergy and Clinical Immunology and Small.

In The Last Decade

Co-authorship network of co-authors of Katiane Roversi i

Fields of papers citing papers by Katiane Roversi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Katiane Roversi

Since Specialization
Citations

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