Jacques Chesnais

1.4k total citations · 1 hit paper
24 papers, 947 citations indexed

About

Jacques Chesnais is a scholar working on Genetics, Animal Science and Zoology and Agronomy and Crop Science. According to data from OpenAlex, Jacques Chesnais has authored 24 papers receiving a total of 947 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Genetics, 7 papers in Animal Science and Zoology and 6 papers in Agronomy and Crop Science. Recurrent topics in Jacques Chesnais's work include Genetic and phenotypic traits in livestock (17 papers), Genetic Mapping and Diversity in Plants and Animals (11 papers) and Cancer-related molecular mechanisms research (4 papers). Jacques Chesnais is often cited by papers focused on Genetic and phenotypic traits in livestock (17 papers), Genetic Mapping and Diversity in Plants and Animals (11 papers) and Cancer-related molecular mechanisms research (4 papers). Jacques Chesnais collaborates with scholars based in Canada, United States and Tanzania. Jacques Chesnais's co-authors include Mehdi Sargolzaei, Flávio S. Schenkel, J. A. B. Robinson, F. Miglior, G.R. Wiggans, Mahdi Sargolzaei, J. A. Vesely, T.A. Cooper, J.E. Pryce and J.N.B. Shrestha and has published in prestigious journals such as Journal of Dairy Science, Theoretical and Applied Genetics and Journal of Animal Science.

In The Last Decade

Jacques Chesnais

21 papers receiving 908 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.

A new approach for efficient genotype imputation using information from relatives

2014 717 citations Mehdi Sargolzaei, Jacques Chesnais et al. BMC Genomics profile →

Peers

Jacques Chesnais

GENET

ACS

ASZ

A. A. do Egito Brazil

Deirdre C. Purfield Ireland

Nedenia Bonvino Stafuzza Brazil

G.B. Jansen Canada

C. Schrooten Netherlands

Robin Wellmann Germany

M. L. Martinez Brazil

Joslaine Noely dos Santos Gonçalves Cyrillo Brazil

Kristen L. Parker Gaddis United States

F. J. Lopez Mexico

A. A. do Egito Brazil

Jacques Chesnais

636 ×0.7

GENET

214 ×0.9

ACS

108 ×0.5

250 ×1.4

ASZ

47 ×0.4

Citations per year, relative to Jacques Chesnais Jacques Chesnais (= 1×) peers A. A. do Egito

Countries citing papers authored by Jacques Chesnais

Since Specialization

Citations

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

Fields of papers citing papers by Jacques Chesnais

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jacques Chesnais. 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 Jacques Chesnais. The network helps show where Jacques Chesnais may publish in the future.

Co-authorship network of co-authors of Jacques Chesnais

This figure shows the co-authorship network connecting the top 25 collaborators of Jacques Chesnais. A scholar is included among the top collaborators of Jacques Chesnais 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 Jacques Chesnais. Jacques Chesnais 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., Luiz F. Brito, Nathalie Bissonnette, et al.. (2020). Association of genetic polymorphisms related to Johne’s disease with estimated breeding values of Holstein sires for milk ELISA test scores. BMC Veterinary Research. 16(1). 165–165. 3 indexed citations

Brito, Luiz F., Mehdi Sargolzaei, A. Koeck, et al.. (2018). The genetic architecture of milk ELISA scores as an indicator of Johne's disease (paratuberculosis) in dairy cattle. Journal of Dairy Science. 101(11). 10062–10075. 20 indexed citations

Casellas, J., Pablo Augusto de Souza Fonseca, F. Miglior, et al.. (2018). 24 Unravelling Genomic Regions with Transmission Ratio Distortion: Identification of Candidate Lethal Alleles in Cattle.. Journal of Animal Science. 96(suppl_2). 13–13. 1 indexed citations

Chesnais, Jacques, T.A. Cooper, G.R. Wiggans, et al.. (2016). Using genomics to enhance selection of novel traits in North American dairy cattle,. Journal of Dairy Science. 99(3). 2413–2427. 41 indexed citations

Schenkel, Flávio S., et al.. (2016). P6052 Evaluating the accuracy of imputation in the highly polymorphic MHC region of genome. Journal of Animal Science. 94(suppl_4). 174–175. 2 indexed citations

Saadi, Habib A. Shojaei, Christian Vigneault, Mehdi Sargolzaei, et al.. (2014). Impact of whole-genome amplification on the reliability of pre-transfer cattle embryo breeding value estimates. BMC Genomics. 15(1). 889–889. 24 indexed citations

Sargolzaei, Mehdi, Jacques Chesnais, & Flávio S. Schenkel. (2014). A new approach for efficient genotype imputation using information from relatives. BMC Genomics. 15(1). 478–478. 717 indexed citations breakdown →

Chesnais, Jacques. (2010). How is the AI industry using the genomic tools in practice. Bulletin - International Bull Evaluation Service/Interbull bulletin. 59. 4 indexed citations

Wiggans, G.R., Tad S. Sonstegard, P.M. VanRaden, et al.. (2009). Genomic evaluations in the United States and Canada: a collaboration.. 347–353. 10 indexed citations

10.

Bishop, Stephen, Jacques Chesnais, & M.J. Stear. (2002). Breeding for disease resistance: issues and opportunities.. 1–8. 15 indexed citations

11.

Sullivan, Brian, et al.. (2002). Perspectives for genetic improvement of feed efficiency in swine.. 0–4.

12.

Robinson, J. A. B., et al.. (1994). Canadian genetic evaluation for dairy cattle production traits.. Proceedings of the World Congress on Genetics applied to Livestock Production. 38–41. 1 indexed citations

13.

Kuhlers, D. L., G.R. McDANIEL, C. Smith, et al.. (1994). Estimates of genetic variances and covariances between tibial dyschondroplasia and weight at two ages in broilers from a designed selection experiment.. 57–59. 2 indexed citations

14.

Kerr, Richard J., J. E. Frisch, Brian Kinghorn, et al.. (1994). Evidence for a major gene for tick resistance in cattle.. 265–268. 18 indexed citations

15.

Schaeffer, L.R., et al.. (1993). Multi-trait, across country evaluation of dairy sires. Bulletin - International Bull Evaluation Service/Interbull bulletin. 14 indexed citations

16.

Robinson, J. A. B. & Jacques Chesnais. (1988). Application of the Animal Model on a National Basis to the Evaluation of Canadian Livestock. Journal of Dairy Science. 71. 70–78. 29 indexed citations

17.

Nagai, J., A.J. McAllister, & Jacques Chesnais. (1984). Male and female contributions to heterosis in lifetime performance of mice. Theoretical and Applied Genetics. 67(6). 479–484. 8 indexed citations

18.

Gavora, J. S., Jacques Chesnais, & J. L. Spencer. (1983). Estimation of variance components and heritability in populations affected by disease: lymphoid leukosis in chickens. Theoretical and Applied Genetics. 65(4). 317–322. 5 indexed citations

19.

Batra, T.R., A.J. McAllister, Jacques Chesnais, et al.. (1983). COMPARISON OF THE HEIFER REPRODUCTION TRAITS OF THE DAUGHTERS OF SEVERAL SIRE GROUPS. Canadian Journal of Animal Science. 63(2). 269–278. 1 indexed citations

20.

Chesnais, Jacques, et al.. (1977). An efficient method of computing the numerator relationship matrix and its inverse matrix with inbreeding for large sets of animals. Theoretical and Applied Genetics. 49(5). 237–241. 7 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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