Ivanete Kotait

72 total papers · 1.4k total citations
48 papers, 879 citations indexed

About

Ivanete Kotait is a scholar working on Virology, Microbiology and Epidemiology. According to data from OpenAlex, Ivanete Kotait has authored 48 papers receiving a total of 879 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Virology, 21 papers in Microbiology and 13 papers in Epidemiology. Recurrent topics in Ivanete Kotait's work include Rabies epidemiology and control (38 papers), Microbial infections and disease research (21 papers) and Poxvirus research and outbreaks (19 papers). Ivanete Kotait is often cited by papers focused on Rabies epidemiology and control (38 papers), Microbial infections and disease research (21 papers) and Poxvirus research and outbreaks (19 papers). Ivanete Kotait collaborates with scholars based in Brazil, France and United States. Ivanete Kotait's co-authors include Maria Luiza Carrieri, Juliana Galera Castilho, Pedro Carnieli, Rafael de Novaes Oliveira, Paulo Eduardo Brandão, Carla Isabel Macedo, Samira Maria Achkar, K. C. Scheffer, Elenice Maria Sequetin Cunha and Lúcia Montebello and has published in prestigious journals such as Annals of Neurology, Emerging infectious diseases and Virology.

In The Last Decade

Ivanete Kotait

42 papers receiving 813 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ivanete Kotait 706 318 279 209 166 48 879
Maria Luiza Carrieri 693 1.0× 301 0.9× 257 0.9× 203 1.0× 148 0.9× 53 830
Juliana Galera Castilho 510 0.7× 252 0.8× 283 1.0× 178 0.9× 108 0.7× 47 748
Dan David 349 0.5× 222 0.7× 275 1.0× 156 0.7× 158 1.0× 42 857
Emmanuelle Robardet 577 0.8× 274 0.9× 219 0.8× 196 0.9× 196 1.2× 45 755
Thomas Müller 419 0.6× 174 0.5× 260 0.9× 114 0.5× 216 1.3× 26 768
Ivan V. Kuzmin 558 0.8× 229 0.7× 471 1.7× 243 1.2× 266 1.6× 21 1.0k
B. Yakobson 364 0.5× 207 0.7× 157 0.6× 290 1.4× 112 0.7× 55 1.0k
A. R. Fooks 718 1.0× 352 1.1× 258 0.9× 190 0.9× 211 1.3× 37 819
Nidia Aréchiga-Ceballos 458 0.6× 148 0.5× 339 1.2× 153 0.7× 187 1.1× 41 717
Alexandre Servat 478 0.7× 267 0.8× 321 1.2× 102 0.5× 140 0.8× 38 843

Countries citing papers authored by Ivanete Kotait

Since Specialization
Citations

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

Fields of papers citing papers by Ivanete Kotait

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivanete Kotait

This figure shows the co-authorship network connecting the top 25 collaborators of Ivanete Kotait. A scholar is included among the top collaborators of Ivanete Kotait based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ivanete Kotait. Ivanete Kotait is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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