Duc Lu

908 total citations
23 papers, 600 citations indexed

About

Duc Lu is a scholar working on Genetics, Plant Science and Animal Science and Zoology. According to data from OpenAlex, Duc Lu has authored 23 papers receiving a total of 600 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Genetics, 8 papers in Plant Science and 6 papers in Animal Science and Zoology. Recurrent topics in Duc Lu's work include Genetic and phenotypic traits in livestock (17 papers), Genetic Mapping and Diversity in Plants and Animals (12 papers) and Genetics and Plant Breeding (6 papers). Duc Lu is often cited by papers focused on Genetic and phenotypic traits in livestock (17 papers), Genetic Mapping and Diversity in Plants and Animals (12 papers) and Genetics and Plant Breeding (6 papers). Duc Lu collaborates with scholars based in United States, Canada and Australia. Duc Lu's co-authors include Stephen P. Miller, Francesco Tiezzi, Christian Maltecca, Flávio S. Schenkel, Nathan P. McNulty, S. S. Moore, Graham Plastow, Clint Schwab, Caleb M Shull and Constantino Schillebeeckx and has published in prestigious journals such as Scientific Reports, Journal of Animal Science and Microbiome.

In The Last Decade

Duc Lu

21 papers receiving 580 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Duc Lu United States 11 388 237 139 118 111 23 600
Clint Schwab United States 12 332 0.9× 226 1.0× 59 0.4× 188 1.6× 96 0.9× 25 563
Aníbal Eugênio Vercesi Filho Brazil 13 419 1.1× 159 0.7× 236 1.7× 82 0.7× 94 0.8× 58 584
Justin Fix United States 13 281 0.7× 329 1.4× 68 0.5× 90 0.8× 59 0.5× 25 539
Sergio Iván Román-Ponce Mexico 12 333 0.9× 123 0.5× 117 0.8× 70 0.6× 105 0.9× 34 443
Ana María Sifuentes‐Rincón Mexico 11 230 0.6× 100 0.4× 54 0.4× 54 0.5× 58 0.5× 69 428
F. J. Lopez Mexico 11 611 1.6× 173 0.7× 253 1.8× 85 0.7× 192 1.7× 57 756
Andreas Kranis United Kingdom 17 599 1.5× 201 0.8× 51 0.4× 84 0.7× 233 2.1× 39 710
C. R. Marcondes Brazil 13 304 0.8× 135 0.6× 116 0.8× 29 0.2× 105 0.9× 47 420
Stewart Bauck United States 13 438 1.1× 93 0.4× 87 0.6× 39 0.3× 196 1.8× 36 585
Justin Holl United States 15 447 1.2× 529 2.2× 85 0.6× 48 0.4× 62 0.6× 41 775

Countries citing papers authored by Duc Lu

Since Specialization
Citations

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

Fields of papers citing papers by Duc Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Duc Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Duc Lu. A scholar is included among the top collaborators of Duc Lu 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 Duc Lu. Duc Lu 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.
Chen, Jie, Duc Lu, Ruotong Li, et al.. (2025). Genomic Analysis of Penicillium griseofulvum CF3 Reveals Potential for Plant Growth Promotion and Disease Resistance. Journal of Fungi. 11(2). 153–153.
2.
Casellas, J., et al.. (2023). Distortion of Mendelian segregation across the Angus cattle genome uncovering regions affecting reproduction. Scientific Reports. 13(1). 13393–13393. 2 indexed citations
3.
Lu, Duc, et al.. (2021). Correction to: Development of a genetic evaluation for hair shedding in American Angus cattle to improve thermotolerance. Genetics Selection Evolution. 53(1). 31–31. 1 indexed citations
4.
Maltecca, Christian, et al.. (2021). Trends in genetic diversity and the effect of inbreeding in American Angus cattle under genomic selection. Genetics Selection Evolution. 53(1). 50–50. 33 indexed citations
5.
Lu, Duc, et al.. (2020). Development of a genetic evaluation for hair shedding in American Angus cattle to improve thermotolerance. Genetics Selection Evolution. 52(1). 63–63. 10 indexed citations
6.
Maltecca, Christian, Duc Lu, Constantino Schillebeeckx, et al.. (2019). Predicting Growth and Carcass Traits in Swine Using Microbiome Data and Machine Learning Algorithms. Scientific Reports. 9(1). 6574–6574. 45 indexed citations
7.
Moser, D. W., et al.. (2019). 52 Genomic selection in the beef industry: Current achievements and future directions. Journal of Animal Science. 97(Supplement_3). 54–55. 3 indexed citations
8.
Lu, Duc, et al.. (2018). Contribution of Microbiome to Variation in Fat and Growth Traits in Crossbred Pigs. Proceedings of the World Congress on Genetics Applied to Livestock Production. 614. 1 indexed citations
9.
Lu, Duc, Francesco Tiezzi, Constantino Schillebeeckx, et al.. (2018). Host contributes to longitudinal diversity of fecal microbiota in swine selected for lean growth. Microbiome. 6(1). 4–4. 103 indexed citations
10.
Maltecca, Christian, et al.. (2018). Metagenomic Predictions of Growth and Carcass Traits in Pigs with the Use of Bayesian Alphabet and Machine Learning Methods.. Proceedings of the World Congress on Genetics Applied to Livestock Production. 314. 2 indexed citations
11.
Lu, Duc, et al.. (2017). The relationship between different measures of feed efficiency and feeding behavior traits in Duroc pigs1. Journal of Animal Science. 95(8). 3370–3380. 32 indexed citations
12.
Lu, Duc, E. C. Akanno, John J. Crowley, et al.. (2016). Accuracy of genomic predictions for feed efficiency traits of beef cattle using 50K and imputed HD genotypes1. Journal of Animal Science. 94(4). 1342–1353. 30 indexed citations
13.
Ventura, Ricardo Vieira, Duc Lu, Flávio S. Schenkel, et al.. (2014). Impact of reference population on accuracy of imputation from 6K to 50K single nucleotide polymorphism chips in purebred and crossbreed beef cattle1. Journal of Animal Science. 92(4). 1433–1444. 29 indexed citations
14.
Lu, Duc, Mehdi Sargolzaei, Matt Kelly, et al.. (2013). Genome-wide association analyses for carcass quality in crossbred beef cattle. BMC Genetics. 14(1). 80–80. 31 indexed citations
15.
Lu, Duc, Mehdi Sargolzaei, Changxi Li, et al.. (2013). Association analysis for feed efficiency traits in beef cattle using preserved haplotypes. Genome. 56(10). 586–591. 2 indexed citations
16.
Lu, Duc, Stephen P. Miller, Mehdi Sargolzaei, et al.. (2013). Genome-wide association analyses for growth and feed efficiency traits in beef cattle1. Journal of Animal Science. 91(8). 3612–3633. 67 indexed citations
17.
Lu, Duc, Mehdi Sargolzaei, Matt Kelly, et al.. (2012). Linkage disequilibrium in Angus, Charolais, and Crossbred beef cattle. Frontiers in Genetics. 3. 152–152. 80 indexed citations
18.
Lu, Duc, et al.. (2010). Beef tenderness QTL on BTA25 from a whole genome scan with the Illumina Bovine SNP50 Beadchip. Proceedings of the World Congress on Genetics Applied to Livestock Production. 675. 1 indexed citations
19.
Kelly, Matt, Duc Lu, & Steven P. Miller. (2009). Comparison of methods for preparing feed intake records for analysis of average daily intake from an automated feed intake monitoring system. Canadian Journal of Animal Science. 89(1). 179–179. 1 indexed citations
20.
Montanholi, Y.R., Kendall C Swanson, Rupert Palme, et al.. (2009). Assessing feed efficiency in beef steers through feeding behavior, infrared thermography and glucocorticoids. animal. 4(5). 692–701. 122 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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2026