Débora Diniz

30 total papers · 493 total citations
28 papers, 392 citations indexed

About

Débora Diniz is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Débora Diniz has authored 28 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Plant Science, 14 papers in Molecular Biology and 13 papers in Genetics. Recurrent topics in Débora Diniz's work include Chromosomal and Genetic Variations (23 papers), Fish biology, ecology, and behavior (10 papers) and CRISPR and Genetic Engineering (8 papers). Débora Diniz is often cited by papers focused on Chromosomal and Genetic Variations (23 papers), Fish biology, ecology, and behavior (10 papers) and CRISPR and Genetic Engineering (8 papers). Débora Diniz collaborates with scholars based in Brazil, Argentina and Czechia. Débora Diniz's co-authors include Luiz Antônio Carlos Bertollo, Marcelo de Bello Cioffi, Paulo Roberto Antunes de Mello Affonso, Orlando Moreira‐Filho, Fausto Foresti, Daniel Rodrigues Blanco, L.A.C. Bertollo, Roberto Laridondo Lui, Cláudio Oliveira and Eduard Kejnovský and has published in prestigious journals such as Copeia, Journal of Heredity and Reviews in Fish Biology and Fisheries.

In The Last Decade

Débora Diniz

28 papers receiving 388 citations

Author Peers

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

Author Last Decade Papers Cites
Débora Diniz 310 190 155 145 98 28 392
Zuzana Majtánová 225 0.7× 231 1.2× 142 0.9× 71 0.5× 74 0.8× 21 362
Uedson Pereira Jacobina 199 0.6× 191 1.0× 175 1.1× 189 1.3× 135 1.4× 34 432
Souichirou Kubota 206 0.7× 158 0.8× 234 1.5× 27 0.2× 19 0.2× 23 336
Serap Gonen 202 0.7× 331 1.7× 117 0.8× 35 0.2× 51 0.5× 15 444
Futie Zhang 213 0.7× 85 0.4× 136 0.9× 54 0.4× 58 0.6× 17 405
Guilherme José da Costa Silva 112 0.4× 77 0.4× 121 0.8× 225 1.6× 181 1.8× 22 374
Franklin L. Roberts 113 0.4× 198 1.0× 59 0.4× 124 0.9× 129 1.3× 16 351
Francisca Robles 150 0.5× 144 0.8× 142 0.9× 85 0.6× 69 0.7× 27 345
Shong Huang 99 0.3× 187 1.0× 179 1.2× 80 0.6× 66 0.7× 22 409
José Luis Palazón-Fernández 127 0.4× 97 0.5× 136 0.9× 74 0.5× 52 0.5× 25 332

Countries citing papers authored by Débora Diniz

Since Specialization
Citations

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

Fields of papers citing papers by Débora Diniz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Débora Diniz

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