Ching-Yi Chen

1.1k total citations
40 papers, 668 citations indexed

About

Ching-Yi Chen is a scholar working on Genetics, Animal Science and Zoology and Small Animals. According to data from OpenAlex, Ching-Yi Chen has authored 40 papers receiving a total of 668 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Genetics, 14 papers in Animal Science and Zoology and 13 papers in Small Animals. Recurrent topics in Ching-Yi Chen's work include Genetic and phenotypic traits in livestock (33 papers), Genetic Mapping and Diversity in Plants and Animals (23 papers) and Animal Behavior and Welfare Studies (13 papers). Ching-Yi Chen is often cited by papers focused on Genetic and phenotypic traits in livestock (33 papers), Genetic Mapping and Diversity in Plants and Animals (23 papers) and Animal Behavior and Welfare Studies (13 papers). Ching-Yi Chen collaborates with scholars based in United States, Spain and United Kingdom. Ching-Yi Chen's co-authors include I. Misztal, William O. Herring, William M. Muir, Ignácio Aguilar, S. Tsuruta, Robert J. Schwartz, Francesco J. DeMayo, Manas K. Ray, Andrés Legarra and Daniela Lourenço and has published in prestigious journals such as SHILAP Revista de lepidopterología, Molecular and Cellular Biology and Journal of Animal Science.

In The Last Decade

Ching-Yi Chen

35 papers receiving 653 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ching-Yi Chen United States 13 527 191 185 95 91 40 668
Pâmela A. Alexandre Australia 16 482 0.9× 88 0.5× 133 0.7× 263 2.8× 29 0.3× 61 785
Alain Ducos France 19 829 1.6× 468 2.5× 118 0.6× 163 1.7× 86 0.9× 69 954
Pascal Croiseau France 17 782 1.5× 263 1.4× 84 0.5× 86 0.9× 22 0.2× 31 922
Michela Ablondi Italy 13 314 0.6× 66 0.3× 80 0.4× 39 0.4× 37 0.4× 42 463
Huirong Mao China 15 304 0.6× 44 0.2× 105 0.6× 154 1.6× 40 0.4× 33 510
Guilherme Costa Venturini Brazil 14 427 0.8× 120 0.6× 192 1.0× 40 0.4× 28 0.3× 31 536
Brittney N. Keel United States 13 268 0.5× 80 0.4× 113 0.6× 142 1.5× 79 0.9× 46 471
E. C. Mattos Brazil 16 531 1.0× 101 0.5× 356 1.9× 32 0.3× 63 0.7× 68 718
Ruimin Qiao China 13 432 0.8× 82 0.4× 126 0.7× 246 2.6× 48 0.5× 55 689
D.A. Grossi Brazil 16 645 1.2× 123 0.6× 179 1.0× 35 0.4× 38 0.4× 24 749

Countries citing papers authored by Ching-Yi Chen

Since Specialization
Citations

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

Fields of papers citing papers by Ching-Yi Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ching-Yi Chen. 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 Ching-Yi Chen. The network helps show where Ching-Yi Chen may publish in the future.

Co-authorship network of co-authors of Ching-Yi Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Ching-Yi Chen. A scholar is included among the top collaborators of Ching-Yi Chen 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 Ching-Yi Chen. Ching-Yi Chen 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.
Billah, A. H. M. Muntasir, Matias Bermann, S. Tsuruta, et al.. (2025). Review: Genomic selection in the era of phenotyping based on digital images. animal. 19. 101486–101486. 3 indexed citations
2.
Cesarani, Alberto, Jorge Hidalgo, Matias Bermann, et al.. (2025). Aligning phenotypic and genetic trends: comparing trends from threshold and linear models in pigs. Journal of Animal Science. 103.
3.
4.
Lourenço, Daniela, et al.. (2024). 83 Genotype-by-environment interaction with high-dimensional environmental data: an example in pigs. Journal of Animal Science. 102(Supplement_3). 21–21.
5.
Chen, Ching-Yi, Eric Psota, B.D. Valente, P. W. Knap, & Justin Holl. (2024). 312 Leveraging digital phenotyping from research to implementation: Insights from a pig breeding company. Journal of Animal Science. 102(Supplement_3). 50–51. 2 indexed citations
6.
Chen, Ching-Yi, et al.. (2024). Estimating genetic parameters of digital behavior traits and their relationship with production traits in purebred pigs. Genetics Selection Evolution. 56(1). 29–29. 3 indexed citations
7.
Beaton, Benjamin P., Ching-Yi Chen, M. Culbertson, et al.. (2024). Pigs lacking the SRCR5 domain of CD163 protein demonstrate heritable resistance to the PRRS virus and no changes in animal performance from birth to maturity. SHILAP Revista de lepidopterología. 6. 1322012–1322012. 7 indexed citations
8.
Chen, Ching-Yi, Justin Holl, Matias Bermann, et al.. (2023). Boundaries for genotype, phenotype, and pedigree truncation in genomic evaluations in pigs. Journal of Animal Science. 101. 6 indexed citations
9.
Johnsson, Martin, Roger Ros‐Freixedes, Ching-Yi Chen, et al.. (2023). A genome-wide association study for loin depth and muscle pH in pigs from intensely selected purebred lines. Genetics Selection Evolution. 55(1). 42–42. 7 indexed citations
10.
Chen, Ching-Yi, et al.. (2022). Leveraging low-density crossbred genotypes to offset crossbred phenotypes and their impact on purebred predictions. Journal of Animal Science. 100(12). 1 indexed citations
11.
Ros‐Freixedes, Roger, Martin Johnsson, Andrew Whalen, et al.. (2022). Genomic prediction with whole-genome sequence data in intensely selected pig lines. Genetics Selection Evolution. 54(1). 65–65. 36 indexed citations
12.
Ros‐Freixedes, Roger, B.D. Valente, Ching-Yi Chen, et al.. (2022). Rare and population-specific functional variation across pig lines. Genetics Selection Evolution. 54(1). 39–39. 7 indexed citations
13.
Chen, Ching-Yi, I. Misztal, S. Tsuruta, et al.. (2010). Genetic analyses of stillbirth in relation to litter size using random regression models. Journal of Animal Science. 88(12). 3800–3808. 9 indexed citations
14.
Chen, Ching-Yi, I. Misztal, Ignácio Aguilar, et al.. (2010). Genome-wide marker-assisted selection combining all pedigree phenotypic information with genotypic data in one step: An example using broiler chickens. Journal of Animal Science. 89(1). 23–28. 102 indexed citations
15.
Chen, Ching-Yi, I. Misztal, S. Tsuruta, et al.. (2009). Estimation of genetic parameters of feed intake and daily gain in Durocs using data from electronic swine feeders. Journal of Animal Breeding and Genetics. 127(3). 230–234. 11 indexed citations
16.
Chen, Ching-Yi, I. Misztal, S. Tsuruta, et al.. (2009). Influence of heritable social status on daily gain and feeding pattern in pigs. Journal of Animal Breeding and Genetics. 127(2). 107–112. 16 indexed citations
17.
Zumbach, B., I. Misztal, Ching-Yi Chen, et al.. (2009). Use of serial pig body weights for genetic evaluation of daily gain. Journal of Animal Breeding and Genetics. 127(2). 93–99. 9 indexed citations
18.
Chen, Ching-Yi, R. K. Johnson, Scott Newman, Stephen D. Kachman, & L.D. Van Vleck. (2008). Effects of social interactions on empirical responses to selection for average daily gain of boars. Journal of Animal Science. 87(3). 844–849. 17 indexed citations
19.
Chen, Ching-Yi, Stephen D. Kachman, R. K. Johnson, Scott Newman, & L.D. Van Vleck. (2008). Estimation of genetic parameters for average daily gain using models with competition effects. Journal of Animal Science. 86(10). 2525–2530. 35 indexed citations
20.
Ray, Manas K., Ching-Yi Chen, Robert J. Schwartz, & Francesco J. DeMayo. (1996). Transcriptional Regulation of a Mouse Clara Cell-Specific Protein (mCC10) Gene by the NKx Transcription Factor Family Members Thyroid Transcription Factor 1 and Cardiac Muscle-Specific Homeobox Protein (CSX). Molecular and Cellular Biology. 16(5). 2056–2064. 84 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Pâmela A. Alexandre Breakdown of academic impact, for papers by Alain Ducos Breakdown of academic impact, for papers by Pascal Croiseau Breakdown of academic impact, for papers by Michela Ablondi Breakdown of academic impact, for papers by Huirong Mao Breakdown of academic impact, for papers by Guilherme Costa Venturini Breakdown of academic impact, for papers by Brittney N. Keel Breakdown of academic impact, for papers by E. C. Mattos Breakdown of academic impact, for papers by Ruimin Qiao Breakdown of academic impact, for papers by D.A. Grossi
Rankless by CCL
2026