Flávia Rezende

50 total papers · 1.4k total citations
33 papers, 943 citations indexed

About

Flávia Rezende is a scholar working on Physiology, Molecular Biology and Immunology. According to data from OpenAlex, Flávia Rezende has authored 33 papers receiving a total of 943 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Physiology, 14 papers in Molecular Biology and 12 papers in Immunology. Recurrent topics in Flávia Rezende's work include Nitric Oxide and Endothelin Effects (14 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (12 papers) and Cell Adhesion Molecules Research (6 papers). Flávia Rezende is often cited by papers focused on Nitric Oxide and Endothelin Effects (14 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (12 papers) and Cell Adhesion Molecules Research (6 papers). Flávia Rezende collaborates with scholars based in Germany, United States and United Kingdom. Flávia Rezende's co-authors include Katrin Schröder, Johannes A. Eble, Ralf P. Brandes, Norbert Weißmann, Oliver Löwe, Valeska Helfinger, Christoph Schürmann, Eladio F. Sánchez, Ilka Wittig and Michael Richardson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Flávia Rezende

32 papers receiving 936 citations

Author Peers

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

Author Last Decade Papers Cites
Flávia Rezende 426 268 206 166 83 33 943
Robert J. Zimmerman 381 0.9× 239 0.9× 160 0.8× 149 0.9× 107 1.3× 28 907
Valéria de Mello Coelho 341 0.8× 337 1.3× 146 0.7× 131 0.8× 70 0.8× 36 1.1k
Robert W. Bonser 697 1.6× 285 1.1× 274 1.3× 99 0.6× 94 1.1× 28 1.1k
F. Russo-Marie 584 1.4× 144 0.5× 145 0.7× 132 0.8× 66 0.8× 32 1000
Sangderk Lee 683 1.6× 271 1.0× 162 0.8× 138 0.8× 136 1.6× 28 1.2k
Lucia Trevisi 565 1.3× 209 0.8× 115 0.6× 106 0.6× 51 0.6× 43 1.2k
Diane M Spencer 711 1.7× 229 0.9× 179 0.9× 94 0.6× 158 1.9× 24 1.2k
Shlomo Almashanu 390 0.9× 126 0.5× 128 0.6× 134 0.8× 63 0.8× 45 836
K. Janakidevi 414 1.0× 215 0.8× 179 0.9× 76 0.5× 44 0.5× 39 936
Éric Krump 495 1.2× 328 1.2× 224 1.1× 59 0.4× 91 1.1× 23 966

Countries citing papers authored by Flávia Rezende

Since Specialization
Citations

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

Fields of papers citing papers by Flávia Rezende

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Flávia Rezende

This figure shows the co-authorship network connecting the top 25 collaborators of Flávia Rezende. A scholar is included among the top collaborators of Flávia Rezende 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 Flávia Rezende. Flávia Rezende 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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