Ney Boa‐Sorte

114 total papers · 1.2k total citations
69 papers, 736 citations indexed

About

Ney Boa‐Sorte is a scholar working on Immunology, Epidemiology and Agronomy and Crop Science. According to data from OpenAlex, Ney Boa‐Sorte has authored 69 papers receiving a total of 736 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Immunology, 12 papers in Epidemiology and 10 papers in Agronomy and Crop Science. Recurrent topics in Ney Boa‐Sorte's work include T-cell and Retrovirus Studies (29 papers), Animal Disease Management and Epidemiology (10 papers) and Iron Metabolism and Disorders (9 papers). Ney Boa‐Sorte is often cited by papers focused on T-cell and Retrovirus Studies (29 papers), Animal Disease Management and Epidemiology (10 papers) and Iron Metabolism and Disorders (9 papers). Ney Boa‐Sorte collaborates with scholars based in Brazil, United States and Trinidad and Tobago. Ney Boa‐Sorte's co-authors include Bernardo Galvão‐Castro, Maria Fernanda Rios Grassi, Inês Dourado, Luciana Rodrígues Silva, Marilda de Souza Gonçalves, Adele Caterino-de-Araújo, Maurício L. Barreto, Maria Glória Teixeira, Graham P. Taylor and Crésio Alves and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Ney Boa‐Sorte

64 papers receiving 709 citations

Author Peers

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

Author Last Decade Papers Cites
Ney Boa‐Sorte 321 213 185 138 83 69 736
Anna Bárbara de Freitas Carneiro-Proietti 484 1.5× 340 1.6× 280 1.5× 75 0.5× 32 0.4× 52 693
I Moriyama 364 1.1× 251 1.2× 211 1.1× 81 0.6× 56 0.7× 54 714
A. Vonk Noordegraaf 68 0.2× 85 0.4× 54 0.3× 118 0.9× 119 1.4× 37 749
Mitsuhiro Yoshinaga 155 0.5× 91 0.4× 83 0.4× 67 0.5× 92 1.1× 37 640
G.M. Levene 209 0.7× 18 0.1× 17 0.1× 155 1.1× 78 0.9× 42 777
G. Magnani 110 0.3× 44 0.2× 25 0.1× 140 1.0× 31 0.4× 48 637
Alenka Gagro 276 0.9× 15 0.1× 31 0.2× 273 2.0× 36 0.4× 71 868
M Lamy 107 0.3× 41 0.2× 30 0.2× 438 3.2× 22 0.3× 50 905
Chi‐Chang Chen 24 0.1× 63 0.3× 83 0.4× 105 0.8× 45 0.5× 91 872
Smith Ca 192 0.6× 15 0.1× 15 0.1× 78 0.6× 70 0.8× 73 819

Countries citing papers authored by Ney Boa‐Sorte

Since Specialization
Citations

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

Fields of papers citing papers by Ney Boa‐Sorte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ney Boa‐Sorte. 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 Ney Boa‐Sorte. The network helps show where Ney Boa‐Sorte may publish in the future.

Co-authorship network of co-authors of Ney Boa‐Sorte

This figure shows the co-authorship network connecting the top 25 collaborators of Ney Boa‐Sorte. A scholar is included among the top collaborators of Ney Boa‐Sorte 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 Ney Boa‐Sorte. Ney Boa‐Sorte 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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