Bárbara Silva‐Vignato

39 total papers · 409 total citations
14 papers, 218 citations indexed

About

Bárbara Silva‐Vignato is a scholar working on Physiology, Genetics and Animal Science and Zoology. According to data from OpenAlex, Bárbara Silva‐Vignato has authored 14 papers receiving a total of 218 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Physiology, 6 papers in Genetics and 4 papers in Animal Science and Zoology. Recurrent topics in Bárbara Silva‐Vignato's work include Adipose Tissue and Metabolism (7 papers), Genetic and phenotypic traits in livestock (6 papers) and Meat and Animal Product Quality (4 papers). Bárbara Silva‐Vignato is often cited by papers focused on Adipose Tissue and Metabolism (7 papers), Genetic and phenotypic traits in livestock (6 papers) and Meat and Animal Product Quality (4 papers). Bárbara Silva‐Vignato collaborates with scholars based in Brazil, United States and Belgium. Bárbara Silva‐Vignato's co-authors include Mirele Poleti, Luiz Lehmann Coutinho, Luciana Correia de Almeida Regitano, Aline Silva Mello César, Júlio César de Carvalho Balieiro, Luiz Cláudio Cameron, Sónia C. S. Andrade, Gustavo H.M.F. Souza, Rosineide C. Simas and Gabriella Oliveira and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Meat Science.

In The Last Decade

Bárbara Silva‐Vignato

12 papers receiving 218 citations

Author Peers

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

Author Last Decade Papers Cites
Bárbara Silva‐Vignato 107 102 82 51 48 14 218
Sophie Allais 197 1.8× 161 1.6× 77 0.9× 35 0.7× 23 0.5× 11 300
Jiuxiu Ji 140 1.3× 130 1.3× 84 1.0× 57 1.1× 33 0.7× 9 277
Qizhi Song 131 1.2× 103 1.0× 95 1.2× 55 1.1× 16 0.3× 22 276
Farhad Bordbar 192 1.8× 82 0.8× 122 1.5× 80 1.6× 40 0.8× 15 317
E. M. England 54 0.5× 207 2.0× 105 1.3× 17 0.3× 42 0.9× 16 330
Seok-Hyeon Beak 99 0.9× 157 1.5× 66 0.8× 26 0.5× 41 0.9× 12 275
Taiane da Silva Martins 103 1.0× 168 1.6× 65 0.8× 22 0.4× 58 1.2× 16 331
Chunyou Ning 103 1.0× 53 0.5× 178 2.2× 118 2.3× 23 0.5× 14 298
T.‐P. Yu 207 1.9× 55 0.5× 68 0.8× 63 1.2× 33 0.7× 10 293
Wanqiang Tian 140 1.3× 58 0.6× 59 0.7× 54 1.1× 17 0.4× 14 245

Countries citing papers authored by Bárbara Silva‐Vignato

Since Specialization
Citations

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

Fields of papers citing papers by Bárbara Silva‐Vignato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bárbara Silva‐Vignato. 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 Bárbara Silva‐Vignato. The network helps show where Bárbara Silva‐Vignato may publish in the future.

Co-authorship network of co-authors of Bárbara Silva‐Vignato

This figure shows the co-authorship network connecting the top 25 collaborators of Bárbara Silva‐Vignato. A scholar is included among the top collaborators of Bárbara Silva‐Vignato 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 Bárbara Silva‐Vignato. Bárbara Silva‐Vignato 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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2026