Renata da Rosa

45 papers and 318 indexed citations i.

About

Renata da Rosa is a scholar working on Plant Science, Molecular Biology and Nature and Landscape Conservation. According to data from OpenAlex, Renata da Rosa has authored 45 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Plant Science, 28 papers in Molecular Biology and 16 papers in Nature and Landscape Conservation. Recurrent topics in Renata da Rosa’s work include Chromosomal and Genetic Variations (30 papers), Fish biology, ecology, and behavior (16 papers) and CRISPR and Genetic Engineering (14 papers). Renata da Rosa is often cited by papers focused on Chromosomal and Genetic Variations (30 papers), Fish biology, ecology, and behavior (16 papers) and CRISPR and Genetic Engineering (14 papers). Renata da Rosa collaborates with scholars based in Brazil, Argentina and Uruguay. Renata da Rosa's co-authors include Lúcia Giuliano-Caetano, Ana Lúcia Dias, Orlando Moreira‐Filho, Vladimir Pavan Margarido, Cláudio Henrique Zawadzki, Isabel Cristina Martins-Santos, Otávio Froehlich, Oscar Akio Shibatta, José Ricardo Inácio Ribeiro and Laurival A. Vilas-Bôas and has published in prestigious journals such as PLoS ONE, Genomics and Journal of Fish Biology.

In The Last Decade

Co-authorship network of co-authors of Renata da Rosa i

Fields of papers citing papers by Renata da Rosa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Renata da Rosa. 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 Renata da Rosa. The network helps show where Renata da Rosa may publish in the future.

Countries citing papers authored by Renata da Rosa

Since Specialization
Citations

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