Nick V. L. Serão

2.2k total citations
96 papers, 1.5k citations indexed

About

Nick V. L. Serão is a scholar working on Animal Science and Zoology, Genetics and Molecular Biology. According to data from OpenAlex, Nick V. L. Serão has authored 96 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Animal Science and Zoology, 36 papers in Genetics and 23 papers in Molecular Biology. Recurrent topics in Nick V. L. Serão's work include Genetic and phenotypic traits in livestock (29 papers), Animal Virus Infections Studies (21 papers) and Genetic Mapping and Diversity in Plants and Animals (13 papers). Nick V. L. Serão is often cited by papers focused on Genetic and phenotypic traits in livestock (29 papers), Animal Virus Infections Studies (21 papers) and Genetic Mapping and Diversity in Plants and Animals (13 papers). Nick V. L. Serão collaborates with scholars based in United States, Brazil and Canada. Nick V. L. Serão's co-authors include Jack C. M. Dekkers, Márcio de Souza Duarte, Sandra L. Rodriguez‐Zas, Bruce R. Southey, Kristin Delfino, Jonathan E. Beever, Leticia P. Sanglard, John F. Patience, ‬Min Du and Simone Eliza Facioni Guimarães and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Scientific Reports.

In The Last Decade

Nick V. L. Serão

91 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nick V. L. Serão United States 22 585 541 386 327 180 96 1.5k
Jana Frahm Germany 23 343 0.6× 230 0.4× 333 0.9× 578 1.8× 174 1.0× 96 1.6k
Gengyuan Cai China 21 332 0.6× 728 1.3× 727 1.9× 149 0.5× 85 0.5× 127 1.6k
James E. Koltes United States 22 307 0.5× 511 0.9× 360 0.9× 177 0.5× 84 0.5× 85 1.1k
Ramona N. Pena Spain 24 751 1.3× 1.0k 1.9× 620 1.6× 187 0.6× 85 0.5× 106 1.8k
Thomas J. Caperna United States 25 474 0.8× 342 0.6× 741 1.9× 177 0.5× 157 0.9× 98 2.3k
Mehmet Ulaş Çınar Türkiye 22 250 0.4× 480 0.9× 493 1.3× 157 0.5× 59 0.3× 96 1.3k
M.F.W. te Pas Netherlands 29 914 1.6× 1.1k 2.1× 865 2.2× 271 0.8× 100 0.6× 104 2.5k
Catherine W. Ernst United States 28 611 1.0× 1.2k 2.1× 615 1.6× 113 0.3× 195 1.1× 107 2.1k
Dewu Liu China 22 244 0.4× 699 1.3× 911 2.4× 250 0.8× 67 0.4× 117 1.7k

Countries citing papers authored by Nick V. L. Serão

Since Specialization
Citations

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

Fields of papers citing papers by Nick V. L. Serão

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nick V. L. Serão. 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 Nick V. L. Serão. The network helps show where Nick V. L. Serão may publish in the future.

Co-authorship network of co-authors of Nick V. L. Serão

This figure shows the co-authorship network connecting the top 25 collaborators of Nick V. L. Serão. A scholar is included among the top collaborators of Nick V. L. Serão 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 Nick V. L. Serão. Nick V. L. Serão 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.
Sanglard, Leticia P., et al.. (2022). Transcriptome profile in the skeletal muscle of cattle progeny as a function of maternal protein supplementation during mid-gestation. Livestock Science. 263. 104995–104995. 16 indexed citations
2.
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Sanglard, Leticia P., et al.. (2021). Phenotypic and genomic relationships between vulva score categories and reproductive performance in first-parity sows. Journal of Animal Science and Biotechnology. 12(1). 7–7. 8 indexed citations
4.
Lage, Josiane Fonseca, Nick V. L. Serão, Tiago Antônio de Oliveira Mendes, et al.. (2021). Proteomic Analysis of Liver from Finishing Beef Cattle Supplemented with a Rumen-Protected B-Vitamin Blend and Hydroxy Trace Minerals. Animals. 11(7). 1934–1934. 2 indexed citations
5.
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Sanglard, Leticia P., Yijian Huang, Kent A. Gray, et al.. (2021). Further host-genomic characterization of total antibody response to PRRSV vaccination and its relationship with reproductive performance in commercial sows: genome-wide haplotype and zygosity analyses. Genetics Selection Evolution. 53(1). 91–91. 8 indexed citations
7.
Sanglard, Leticia P., et al.. (2020). Genetic and genomic characterization of vulva size traits in Yorkshire and Landrace gilts. BMC Genetics. 21(1). 28–28. 4 indexed citations
8.
Poole, Daniel, et al.. (2020). Evaluation of Resistance to Fescue Toxicosis in Purebred Angus Cattle Utilizing Animal Performance and Cytokine Response. Toxins. 12(12). 796–796. 7 indexed citations
9.
Poole, Daniel, et al.. (2020). Evaluation of a commercial genetic test for fescue toxicosis in pregnant Angus beef cattle1. Translational Animal Science. 4(4). txaa181–txaa181. 6 indexed citations
10.
Putz, Austin M., et al.. (2019). Genetic analysis of reproductive performance in sows during porcine reproductive and respiratory syndrome (PRRS) and porcine epidemic diarrhea (PED) outbreaks. Journal of Animal Science and Biotechnology. 10(1). 22–22. 19 indexed citations
11.
Nascimento, Ana Carolina Campana, Moysés Nascimento, Camila Ferreira Azevedo, et al.. (2019). Quantile Regression Applied to Genome-Enabled Prediction of Traits Related to Flowering Time in the Common Bean. Agronomy. 9(12). 796–796. 9 indexed citations
12.
Sanglard, Leticia P., Stephan Schmitz‐Esser, Kent A. Gray, et al.. (2019). Investigating the relationship between vaginal microbiota and host genetics and their impact on immune response and farrowing traits in commercial gilts. Journal of Animal Breeding and Genetics. 137(1). 84–102. 19 indexed citations
13.
Sanglard, Leticia P., Moysés Nascimento, Philipe Moriel, et al.. (2018). Impact of energy restriction during late gestation on the muscle and blood transcriptome of beef calves after preconditioning. BMC Genomics. 19(1). 25 indexed citations
14.
Sanglard, Leticia P., et al.. (2018). Genetics of fescue toxicity in Angus cattle: Identification of differentially expressed genes in tolerant and susceptible Angus cows^.. Proceedings of the World Congress on Genetics Applied to Livestock Production. 702. 1 indexed citations
15.
Nascimento, Moysés, Ana Carolina Campana Nascimento, Fabyano Fonseca e Silva, et al.. (2018). Quantile regression for genome-wide association study of flowering time-related traits in common bean. PLoS ONE. 13(1). e0190303–e0190303. 23 indexed citations
16.
Benedeti, Pedro Del Bianco, B. C. Silva, Nick V. L. Serão, et al.. (2018). Effects of grain processing methods on the expression of genes involved in volatile fatty acid transport and pH regulation, and keratinization in rumen epithelium of beef cattle. PLoS ONE. 13(6). e0198963–e0198963. 14 indexed citations
17.
Nascimento, Moysés, Ana Carolina Campana Nascimento, Jack C. M. Dekkers, & Nick V. L. Serão. (2018). Using quantile regression methodology to evaluate changes in the shape of growth curves in pigs selected for increased feed efficiency based on residual feed intake. animal. 13(5). 1009–1019. 7 indexed citations
18.
Putz, Austin M., Clint Schwab, Derald Holtkamp, et al.. (2018). The effect of a porcine reproductive and respiratory syndrome outbreak on genetic parameters and reaction norms for reproductive performance in pigs1. Journal of Animal Science. 97(3). 1101–1116. 6 indexed citations
19.
Serão, Nick V. L.. (2014). WHOLE-GENOME SCAN AND VALIDATION OF REGIONS PREVIOUSLY ASSOCIATED WITH PRRS ANTIBODY RESPONSE AND GROWTH RATE USING GILTS UNDER HEALTH CHALLENGE IN COMMERCIAL SETTINGS. 5 indexed citations
20.
Serão, Nick V. L., Dianelys González-Peña, Jonathan E. Beever, et al.. (2013). Single nucleotide polymorphisms and haplotypes associated with feed efficiency in beef cattle. BMC Genetics. 14(1). 94–94. 58 indexed citations

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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