T.C.S. Chud

1.4k total citations
49 papers, 981 citations indexed

About

T.C.S. Chud is a scholar working on Genetics, Agronomy and Crop Science and Animal Science and Zoology. According to data from OpenAlex, T.C.S. Chud has authored 49 papers receiving a total of 981 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Genetics, 22 papers in Agronomy and Crop Science and 17 papers in Animal Science and Zoology. Recurrent topics in T.C.S. Chud's work include Genetic and phenotypic traits in livestock (44 papers), Genetic Mapping and Diversity in Plants and Animals (23 papers) and Effects of Environmental Stressors on Livestock (13 papers). T.C.S. Chud is often cited by papers focused on Genetic and phenotypic traits in livestock (44 papers), Genetic Mapping and Diversity in Plants and Animals (23 papers) and Effects of Environmental Stressors on Livestock (13 papers). T.C.S. Chud collaborates with scholars based in Canada, Brazil and United States. T.C.S. Chud's co-authors include Danísio Prado Munari, Flávio S. Schenkel, F. Miglior, Christine F. Baes, Raysildo Barbosa Lôbo, Marcos Eli Buzanskas, Ángela Cánovas, Hinayah Rojas de Oliveira, Luiz F. Brito and Rodrigo Pelicioni Savegnago and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Dairy Science.

In The Last Decade

T.C.S. Chud

48 papers receiving 965 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
T.C.S. Chud Canada 19 784 442 324 130 93 49 981
Victor Breno Pedrosa Brazil 17 802 1.0× 354 0.8× 379 1.2× 113 0.9× 124 1.3× 97 1.1k
Marcos Eli Buzanskas Brazil 19 831 1.1× 312 0.7× 276 0.9× 180 1.4× 117 1.3× 50 990
Sarah Figueiredo Martins Bonilha Brazil 17 592 0.8× 448 1.0× 410 1.3× 82 0.6× 55 0.6× 61 848
Joslaine Noely dos Santos Gonçalves Cyrillo Brazil 17 909 1.2× 433 1.0× 434 1.3× 187 1.4× 108 1.2× 91 1.1k
Fidalis D. N. Mujibi Kenya 15 470 0.6× 349 0.8× 215 0.7× 68 0.5× 49 0.5× 26 703
Olivardo Facó Brazil 16 508 0.6× 344 0.8× 236 0.7× 68 0.5× 38 0.4× 62 703
A. Carta Italy 16 693 0.9× 403 0.9× 208 0.6× 84 0.6× 75 0.8× 65 1.1k
Annaíza Braga Bignardi Brazil 19 937 1.2× 479 1.1× 476 1.5× 223 1.7× 33 0.4× 80 1.1k
K.J. Hanford United States 14 511 0.7× 471 1.1× 315 1.0× 140 1.1× 21 0.2× 54 879
J.L. Hutchison United States 24 1.4k 1.8× 1.0k 2.3× 369 1.1× 209 1.6× 104 1.1× 40 1.7k

Countries citing papers authored by T.C.S. Chud

Since Specialization
Citations

This map shows the geographic impact of T.C.S. Chud'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 T.C.S. Chud with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T.C.S. Chud more than expected).

Fields of papers citing papers by T.C.S. Chud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T.C.S. Chud. 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 T.C.S. Chud. The network helps show where T.C.S. Chud may publish in the future.

Co-authorship network of co-authors of T.C.S. Chud

This figure shows the co-authorship network connecting the top 25 collaborators of T.C.S. Chud. A scholar is included among the top collaborators of T.C.S. Chud 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 T.C.S. Chud. T.C.S. Chud 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.
Schenkel, Flávio S., et al.. (2025). Selection signatures in Gir and Holstein cattle. Journal of Dairy Science. 108(9). 9876–9900.
2.
Chud, T.C.S., Simone Eliza Facioni Guimarães, Marta Fonseca Martins, et al.. (2024). Resequencing of Brazilian locally adapted cattle breeds revealed variants in candidate genes and transcription factors for meat fatty acid profile. Journal of Animal Breeding and Genetics. 141(6). 628–642. 1 indexed citations
3.
Chud, T.C.S., Rodrigo Pelicioni Savegnago, Adriana Santana do Carmo, et al.. (2023). Identification of copy number variations in the genome of Dairy Gir cattle. PLoS ONE. 18(4). e0284085–e0284085. 10 indexed citations
4.
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
5.
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
6.
Manzanilla-Pech, C.I.V., Peter Løvendahl, Gareth F. Difford, et al.. (2021). Breeding for reduced methane emission and feed-efficient Holstein cows: An international response. Journal of Dairy Science. 104(8). 8983–9001. 70 indexed citations
7.
Chud, T.C.S., Diércles F. Cardoso, F. Miglior, et al.. (2021). Genome-wide association study between copy number variants and hoof health traits in Holstein dairy cattle. Journal of Dairy Science. 104(7). 8050–8061. 25 indexed citations
8.
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
9.
Nguyen, Thuy T. T., Peter J. Moate, S.R.O. Williams, et al.. (2020). Genetic parameters for methane emission traits in Australian dairy cows. Journal of Dairy Science. 104(1). 539–549. 39 indexed citations
10.
Chud, T.C.S., Rodrigo Pelicioni Savegnago, Marcos Eli Buzanskas, et al.. (2019). Genomic structure of a crossbred Landrace pig population. PLoS ONE. 14(2). e0212266–e0212266. 13 indexed citations
11.
Schenkel, Flávio S., et al.. (2019). Comparing the use of dry matter intake and residual feed intake to improve feed efficiency in Holstein cattle.. Bulletin - International Bull Evaluation Service/Interbull bulletin. 50–57. 1 indexed citations
12.
VanRaden, P.M., et al.. (2019). Genomic predictions for crossbred dairy cattle. Journal of Dairy Science. 103(2). 1620–1631. 23 indexed citations
13.
Venturini, Guilherme Costa, et al.. (2018). Bayesian inference of genetic parameters for reproductive and performance traits in White Leghorn hens. Czech Journal of Animal Science. 63(6). 230–236. 4 indexed citations
14.
Buzanskas, Marcos Eli, Ricardo Vieira Ventura, Flávio S. Schenkel, et al.. (2017). Candidate genes for male and female reproductive traits in Canchim beef cattle. Journal of Animal Science and Biotechnology. 8(1). 67–67. 37 indexed citations
15.
Chud, T.C.S., Ricardo Vieira Ventura, Dorian J. Garrick, et al.. (2017). Genotype imputation in a tropical crossbred dairy cattle population. Journal of Dairy Science. 100(12). 9623–9634. 15 indexed citations
16.
Chud, T.C.S., Ricardo Vieira Ventura, Flávio S. Schenkel, et al.. (2015). Strategies for genotype imputation in composite beef cattle. BMC Genetics. 16(1). 99–99. 18 indexed citations
17.
Chud, T.C.S.. (2014). Metodologias e estratégias de imputação de marcadores genéticos em bovinos da raça Cachim. Americanae (AECID Library). 1 indexed citations
18.
Buzanskas, Marcos Eli, D.A. Grossi, Ricardo Vieira Ventura, et al.. (2014). Genome-Wide Association Study on Long-Yearling Scrotal Circumference in Canchim Cattle. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 645. 3 indexed citations
19.
Buzanskas, Marcos Eli, Guilherme Costa Venturini, D.A. Grossi, et al.. (2012). Genetic analysis on growth and carcass traits in Nelore cattle. Meat Science. 91(3). 352–357. 50 indexed citations
20.
Chud, T.C.S., et al.. (2010). Genetic Association For Growth, Reproductive And Carcass Traits In Guzera Beef Cattle. Proceedings of the World Congress on Genetics Applied to Livestock Production. 640. 2 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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