Luiz F. Brito

6.7k total citations · 2 hit papers
246 papers, 4.1k citations indexed

About

Luiz F. Brito is a scholar working on Genetics, Animal Science and Zoology and Agronomy and Crop Science. According to data from OpenAlex, Luiz F. Brito has authored 246 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 203 papers in Genetics, 101 papers in Animal Science and Zoology and 68 papers in Agronomy and Crop Science. Recurrent topics in Luiz F. Brito's work include Genetic and phenotypic traits in livestock (201 papers), Genetic Mapping and Diversity in Plants and Animals (129 papers) and Effects of Environmental Stressors on Livestock (82 papers). Luiz F. Brito is often cited by papers focused on Genetic and phenotypic traits in livestock (201 papers), Genetic Mapping and Diversity in Plants and Animals (129 papers) and Effects of Environmental Stressors on Livestock (82 papers). Luiz F. Brito collaborates with scholars based in United States, Canada and Brazil. Luiz F. Brito's co-authors include Flávio S. Schenkel, Hinayah Rojas de Oliveira, F. Miglior, Christine F. Baes, Pauline Martin, Mehdi Sargolzaei, A. Fleming, F. Malchiodi, Yachun Wang and Victor Breno Pedrosa and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Agricultural and Food Chemistry.

In The Last Decade

Luiz F. Brito

226 papers receiving 4.1k citations

Hit Papers

A 100-Year Review: Identification and genetic selection o... 2017 2026 2020 2023 2017 2021 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Luiz F. Brito United States 33 3.1k 1.4k 1.3k 548 544 246 4.1k
Georgios Banos United Kingdom 35 2.6k 0.8× 1.8k 1.3× 1.1k 0.8× 492 0.9× 257 0.5× 242 3.9k
José Bento Sterman Ferraz Brazil 36 3.3k 1.1× 1.5k 1.1× 1.5k 1.1× 374 0.7× 307 0.6× 260 4.4k
Christian Maltecca United States 37 2.5k 0.8× 1.1k 0.8× 998 0.7× 537 1.0× 326 0.6× 168 3.7k
Fernando Baldi Brazil 33 3.2k 1.0× 1.1k 0.8× 1.2k 0.9× 266 0.5× 634 1.2× 232 3.8k
Samuel Rezende Paiva Brazil 30 2.3k 0.8× 719 0.5× 1.1k 0.8× 298 0.5× 309 0.6× 146 3.4k
Georg Thaller Germany 38 4.4k 1.4× 1.6k 1.2× 1.0k 0.8× 376 0.7× 605 1.1× 195 5.6k
L. Varona Spain 38 4.0k 1.3× 801 0.6× 1.5k 1.1× 595 1.1× 385 0.7× 223 5.1k
Lúcia Galvão de Albuquerque Brazil 41 5.7k 1.9× 2.4k 1.8× 2.4k 1.8× 577 1.1× 587 1.1× 379 6.5k
Z. Wang Canada 29 2.2k 0.7× 1.2k 0.9× 1.0k 0.8× 205 0.4× 288 0.5× 84 2.9k
Henrique Nunes de Oliveira Brazil 33 2.7k 0.9× 1.3k 0.9× 1.1k 0.8× 230 0.4× 318 0.6× 226 3.7k

Countries citing papers authored by Luiz F. Brito

Since Specialization
Citations

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

Fields of papers citing papers by Luiz F. Brito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luiz F. Brito. 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 Luiz F. Brito. The network helps show where Luiz F. Brito may publish in the future.

Co-authorship network of co-authors of Luiz F. Brito

This figure shows the co-authorship network connecting the top 25 collaborators of Luiz F. Brito. A scholar is included among the top collaborators of Luiz F. Brito 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 Luiz F. Brito. Luiz F. Brito is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Cyrillo, Joslaine Noely dos Santos Gonçalves, Lúcio Flávio Macêdo Mota, Éric De Oliveira, et al.. (2025). Effect of genomic regions harboring putative lethal haplotypes on reproductive performance in closed experimental selection lines of Nellore cattle. Scientific Reports. 15(1). 4113–4113. 2 indexed citations
2.
Johnson, Jay S, et al.. (2025). Transgenerational epigenetic heritability for growth, body composition, and reproductive traits in Landrace pigs. Frontiers in Genetics. 15. 1526473–1526473. 1 indexed citations
4.
Fraley, Gregory S., et al.. (2024). Genetic parameters for egg quality traits in Pekin ducks. Poultry Science. 103(12). 104264–104264. 1 indexed citations
5.
Oliveira, Hinayah Rojas de, et al.. (2024). Phenotypic and genomic modeling of lactation curves: A longitudinal perspective. SHILAP Revista de lepidopterología. 5(3). 241–246. 3 indexed citations
6.
Brito, Luiz F., et al.. (2024). Social sustainability and genetic biodiversity in Peruvian alpaca production: a review. Pastoralism Research Policy and Practice. 14. 1 indexed citations
7.
Brito, Luiz F., et al.. (2024). 216 Using GPS collars and vaginal temperature sensors for characterizing rangeland usage and climatic stress in sheep. Journal of Animal Science. 102(Supplement_3). 402–403.
8.
Brito, Luiz F., et al.. (2024). 78 Estimates of genetic parameters for weight, wool, and carcass traits of Rambouillet sheep. Journal of Animal Science. 102(Supplement_2). 44–44.
9.
10.
Mota, Lúcio Flávio Macêdo, et al.. (2023). Genotype-by-environment interactions for feed efficiency traits in Nellore cattle based on bi-trait reaction norm models. Genetics Selection Evolution. 55(1). 93–93. 10 indexed citations
11.
Morota, Gota, et al.. (2023). Longitudinal genome-wide association analysis using a single-step random regression model for height in Japanese Holstein cattle. SHILAP Revista de lepidopterología. 4(5). 363–368. 2 indexed citations
12.
Xin, Lei, Shreyas Sen, Robert A. Nawrocki, et al.. (2023). Invited review: integration of technologies and systems for precision animal agriculture—a case study on precision dairy farming. Journal of Animal Science. 101. 28 indexed citations
13.
Pedrosa, Victor Breno, Jacquelyn P. Boerman, Leonardo Siqueira Glória, et al.. (2023). Genomic-based genetic parameters for milkability traits derived from automatic milking systems in North American Holstein cattle. Journal of Dairy Science. 106(4). 2613–2629. 21 indexed citations
14.
Brito, Luiz F., et al.. (2023). Genome‐wide association studies for epistatic genetic effects on fertility and reproduction traits in Holstein cattle. Journal of Animal Breeding and Genetics. 140(6). 624–637. 6 indexed citations
15.
Ferraz, José Bento Sterman, Victor Breno Pedrosa, Joanir Pereira Eler, et al.. (2023). Genetic parameters for various semen production and quality traits and indicators of male and female reproductive performance in Nellore cattle. BMC Genomics. 24(1). 150–150. 7 indexed citations
16.
Brito, Luiz F., et al.. (2023). Genetic parameters for milk production and type traits in North American and European Alpine and Saanen dairy goat populations. SHILAP Revista de lepidopterología. 5(1). 28–32. 2 indexed citations
18.
Hu, Lirong, et al.. (2022). Transcriptome Analyses Reveal Essential Roles of Alternative Splicing Regulation in Heat-Stressed Holstein Cows. International Journal of Molecular Sciences. 23(18). 10664–10664. 11 indexed citations
19.
Lam, Stephanie, et al.. (2018). Identification of variants associated with divergent feed efficiency groups using multiple RNA-sequencing datasets from dairy and beef cattle. Proceedings of the World Congress on Genetics Applied to Livestock Production. 773. 3 indexed citations
20.
Miglior, F., A. Fleming, F. Malchiodi, et al.. (2017). A 100-Year Review: Identification and genetic selection of economically important traits in dairy cattle. Journal of Dairy Science. 100(12). 10251–10271. 314 indexed citations breakdown →

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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