Universidade Federal do Rio Grande do Sul

81.1k papers and 1.3M indexed citations i.

About

In recent decades, authors affiliated with Universidade Federal do Rio Grande do Sul have published 81.1k papers, which have received a total of 1.3M indexed citations. Scholars at this organization have produced 6.8k papers in Molecular Biology, 5.7k papers in Sociology and Political Science and 5.5k papers in Plant Science on the topics of Health, Nursing, Elderly Care (1.7k papers), Education Pedagogy and Practices (1.5k papers) and Education and Digital Technologies (1.4k papers). Their work is cited by papers focused on Molecular Biology (162.1k citations), Plant Science (97.7k citations) and Physiology (74.2k citations). Authors at Universidade Federal do Rio Grande do Sul collaborate with scholars in Brazil, United States and Spain and have published in prestigious journals including Nature, Science and Cell. Some of Universidade Federal do Rio Grande do Sul's most productive authors include Jaı̈rton Dupont, Iván Izquierdo, Éder C. Lima, Adriano Brandelli, Luís Augusto Rohde, Yan Levin, Flávio Kapczinski, Diogo O. Souza, Rafael C. Rodrigues and Thaisa Storchi‐Bergmann.

In The Last Decade

Fields of papers published by authors at Universidade Federal do Rio Grande do Sul

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Universidade Federal do Rio Grande do Sul at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Universidade Federal do Rio Grande do Sul at the time of their publication.

Countries citing scholars working at Universidade Federal do Rio Grande do Sul

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Universidade Federal do Rio Grande do Sul. 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 papers produced at Universidade Federal do Rio Grande do Sul with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Universidade Federal do Rio Grande do Sul 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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