Flávio S. Schenkel

14.9k total citations · 2 hit papers
351 papers, 10.0k citations indexed

About

Flávio S. Schenkel is a scholar working on Genetics, Agronomy and Crop Science and Animal Science and Zoology. According to data from OpenAlex, Flávio S. Schenkel has authored 351 papers receiving a total of 10.0k indexed citations (citations by other indexed papers that have themselves been cited), including 288 papers in Genetics, 126 papers in Agronomy and Crop Science and 90 papers in Animal Science and Zoology. Recurrent topics in Flávio S. Schenkel's work include Genetic and phenotypic traits in livestock (284 papers), Genetic Mapping and Diversity in Plants and Animals (165 papers) and Reproductive Physiology in Livestock (74 papers). Flávio S. Schenkel is often cited by papers focused on Genetic and phenotypic traits in livestock (284 papers), Genetic Mapping and Diversity in Plants and Animals (165 papers) and Reproductive Physiology in Livestock (74 papers). Flávio S. Schenkel collaborates with scholars based in Canada, United States and Brazil. Flávio S. Schenkel's co-authors include Mehdi Sargolzaei, F. Miglior, Stephen P. Miller, Jacques Chesnais, Luiz F. Brito, Tad S. Sonstegard, Curtis P. Van Tassell, G.R. Wiggans, P.M. VanRaden and Robert D. Schnabel and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

In The Last Decade

Flávio S. Schenkel

337 papers receiving 9.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Invited Review: Reliability of genomic predictions for North American Holstein bulls

2008 997 citations Flávio S. Schenkel et al. Journal of Dairy Science profile →
A new approach for efficient genotype imputation using information from relatives

2014 717 citations Mehdi Sargolzaei, Flávio S. Schenkel et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Flávio S. Schenkel Canada	49	8.1k	3.1k	2.4k	2.1k	1.3k	351	10.0k
Dorian J. Garrick New Zealand	50	7.9k 1.0×	2.1k 0.7×	2.2k 0.9×	3.0k 1.4×	976 0.7×	318	10.2k
John Woolliams United Kingdom	51	7.9k 1.0×	2.5k 0.8×	1.6k 0.7×	2.6k 1.2×	428 0.3×	366	10.3k
John B. Cole United States	48	6.1k 0.8×	2.9k 0.9×	1.8k 0.8×	1.3k 0.6×	1.1k 0.8×	186	7.7k
Curtis P. Van Tassell United States	56	9.4k 1.2×	2.4k 0.8×	1.3k 0.5×	3.6k 1.7×	1.8k 1.3×	200	11.9k
Jack C. M. Dekkers United States	65	11.0k 1.4×	3.7k 1.2×	5.1k 2.2×	3.9k 1.8×	827 0.6×	423	15.3k
Graham Plastow Canada	47	4.4k 0.5×	1.6k 0.5×	3.4k 1.4×	754 0.4×	782 0.6×	313	8.3k
P.M. VanRaden United States	56	13.0k 1.6×	4.0k 1.3×	1.9k 0.8×	5.6k 2.6×	1.3k 1.0×	223	14.2k
Didier Boichard France	43	5.7k 0.7×	2.4k 0.8×	1.1k 0.5×	1.3k 0.6×	713 0.5×	206	6.5k
Mogens Sandø Lund Denmark	50	7.2k 0.9×	2.4k 0.8×	1.3k 0.6×	2.3k 1.1×	1.2k 0.9×	237	8.1k
T.H.E. Meuwissen Norway	52	14.0k 1.7×	2.1k 0.7×	2.1k 0.9×	6.8k 3.2×	902 0.7×	270	16.2k

Countries citing papers authored by Flávio S. Schenkel

Since Specialization

Citations

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

Fields of papers citing papers by Flávio S. Schenkel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Flávio S. Schenkel. 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 Flávio S. Schenkel. The network helps show where Flávio S. Schenkel may publish in the future.

Co-authorship network of co-authors of Flávio S. Schenkel

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

All Works

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20 of 20 papers shown

Schenkel, Flávio S., et al.. (2025). Genetic diversity and selection signatures in sheep breeds. Journal of Applied Genetics. 66(3). 675–687. 2 indexed citations

Hailemariam, Dagnachew, Ghader Manafiazar, Christine F. Baes, et al.. (2025). Circulating serum metabolites as biomarkers and predictors of residual feed intake in lactating dairy cows. Scientific Reports. 15(1). 1709–1709. 2 indexed citations

Fonseca, Pablo Augusto de Souza, Bayode O. Makanjuola, F. Miglior, et al.. (2025). A genome-wide association study on rumination time in first-lactation dairy cattle. Journal of Dairy Science. 108(7). 7297–7309. 1 indexed citations

Schenkel, Flávio S., et al.. (2025). Selection signatures in Gir and Holstein cattle. Journal of Dairy Science. 108(9). 9876–9900.

Schenkel, Flávio S., Christina M. Rochus, Hinayah Rojas de Oliveira, et al.. (2024). Estimates of genetic parameters for rumination time, feed efficiency, and methane production traits in first-lactation Holstein cows. Journal of Dairy Science. 107(7). 4704–4713. 14 indexed citations

Schenkel, Flávio S., et al.. (2024). Genetic Parameter Estimation and Selection for Resistance to Gastrointestinal Nematode Parasites in Sheep—A Review. Animals. 14(4). 613–613. 7 indexed citations

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

Monteiro, H.F., F.S. Lima, R.S. Bisinotto, et al.. (2023). Host and rumen microbiome contributions to feed efficiency traits in Holstein cows. Journal of Dairy Science. 107(5). 3090–3103. 10 indexed citations

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

10.

Baes, Christine F., et al.. (2023). Genetic evaluation of heat tolerance in Holsteins using test-day production records and NASA POWER weather data. Journal of Dairy Science. 106(10). 6995–7007. 3 indexed citations

11.

Chud, T.C.S., Dagnachew Hailemariam, Hinayah Rojas de Oliveira, et al.. (2022). Predicting dry matter intake in Canadian Holstein dairy cattle using milk mid-infrared reflectance spectroscopy and other commonly available predictors via artificial neural networks. Journal of Dairy Science. 105(10). 8257–8271. 14 indexed citations

12.

Chud, T.C.S., Dagnachew Hailemariam, Graham Plastow, et al.. (2022). Predicting methane emission in Canadian Holstein dairy cattle using milk mid-infrared reflectance spectroscopy and other commonly available predictors via artificial neural networks. Journal of Dairy Science. 105(10). 8272–8285. 23 indexed citations

13.

Chud, T.C.S., F. Miglior, Flávio S. Schenkel, et al.. (2020). High confidence copy number variants identified in Holstein dairy cattle from whole genome sequence and genotype array data. Scientific Reports. 10(1). 22 indexed citations

14.

Sargolzaei, Mehdi, et al.. (2019). The effect of host genetics on in vitro performance of bovine monocyte-derived macrophages. Journal of Dairy Science. 102(10). 9107–9116. 9 indexed citations

15.

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

16.

Jafarikia, Mohsen, D.A. Grossi, Laurence Maignel, Mehdi Sargolzaei, & Flávio S. Schenkel. (2014). Characterization of linkage disequilibrium and consistency of gametic phase in Canadian goats. Proceedings of the World Congress on Genetics Applied to Livestock Production. 882. 3 indexed citations

17.

Karrow, Niel A., et al.. (2014). Review: Genetics of helminth resistance in sheep. Canadian Journal of Animal Science. 94(1). 1–9. 13 indexed citations

18.

Stachowicz, Katarzyna, et al.. (2013). Analyses of genetic diversity in five Canadian dairy breeds using pedigree data. Journal of Animal Breeding and Genetics. 130(6). 476–486. 25 indexed citations

19.

Stachowicz, Katarzyna, Mahdi Sargolzaei, F. Miglior, & Flávio S. Schenkel. (2011). Rates of inbreeding and genetic diversity in Canadian Holstein and Jersey cattle. Journal of Dairy Science. 94(10). 5160–5175. 83 indexed citations

20.

Schenkel, Flávio S., et al.. (2006). AMC - a computer programme to assess the degree of connectedness among contemporary groups.. Proceedings of the 8th World Congress on Genetics Applied to Livestock Production, Belo Horizonte, Minas Gerais, Brazil, 13-18 August, 2006. 6 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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