Universidade Federal do Rio de Janeiro

81.4k papers receiving 1.4M citations

Peers

Universidade Federal do Rio de Janeiro
Comparison fields: 5 of 252
  • Infectious Diseases 70.8k
  • Parasitology 23.4k
  • Molecular Biology 228.0k
  • Pollution 38.0k
  • Epidemiology 96.6k
Replace Universidade Estadual Paulista (Unesp) with:
Universidade Estadual Paulista (Unesp) Brazil
Universidade Federal de Minas Gerais Brazil
Universidade Estadual de Campinas (UNICAMP) Brazil
Universidade de São Paulo Brazil
Universidade Federal Fluminense Brazil
Universidade do Estado do Rio de Janeiro Brazil
Universidade Federal do Paraná Brazil
Universidade Federal do Rio Grande do Sul Brazil
Universidade de Brasília Brazil
Universidade Federal de Santa Catarina Brazil
Universidade Federal do Rio de Janeiro relative to Universidade Estadual Paulista (Unesp) Brazil Universidade Estadual Paulista (Unesp)'s profile →
Citations per field
00.5×1.5×2.1×
Universidade Estadual Paulista (Unesp) · 1×
Citations per year

Countries citing scholars working at Universidade Federal do Rio de Janeiro

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Universidade Federal do Rio de Janeiro. 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 de Janeiro 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 de Janeiro more than expected).

Fields of papers published by authors at Universidade Federal do Rio de Janeiro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Universidade Federal do Rio de Janeiro 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 de Janeiro at the time of their publication.

About Universidade Federal do Rio de Janeiro

In recent decades, authors affiliated with Universidade Federal do Rio de Janeiro have published 95.0k papers, which have received a total of 1.6M indexed citations . Scholars at this organization have produced 1.6k papers in Urban Studies, 1.5k papers in Paleontology, 1.3k papers in Information Systems and Management, 3.2k papers in Infectious Diseases and 2.3k papers in Nature and Landscape Conservation on the topics of Health, Nursing, Elderly Care (1.6k papers), Trypanosoma species research and implications (1.5k papers), Research on Leishmaniasis Studies (1.2k papers), Fish biology, ecology, and behavior (1.2k papers), Plant and animal studies (1.1k papers), Education Pedagogy and Practices (1.1k papers), Business and Management Studies (982 papers) and Psychology and Mental Health (900 papers). Their work is cited by papers focused on Infectious Diseases (70.8k citations), Parasitology (23.4k citations), Molecular Biology (228.0k citations), Pollution (38.0k citations) and Epidemiology (96.6k citations). Authors at Universidade Federal do Rio de Janeiro collaborate with scholars in Brazil, United States and United Kingdom and have published in prestigious journals including PLoS ONE, Zootaxa, Cadernos de Saúde Pública, Anais da Academia Brasileira de Ciências and Memórias do Instituto Oswaldo Cruz. Some of Universidade Federal do Rio de Janeiro's most productive authors include Wanderley de Souza, Suzana Herculano‐Houzel, Romildo Dias Tolêdo Filho, Sérgio T. Ferreira, Eliezer J. Barreiro, Márcio Nucci, Antônio Egídio Nardi, Fernanda G. De Felice, Bluma G. Soares and Denise Maria Guimarães Freire.

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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