David Habier

4.5k total citations · 2 hit papers
22 papers, 3.3k citations indexed

About

David Habier is a scholar working on Genetics, Plant Science and Animal Science and Zoology. According to data from OpenAlex, David Habier has authored 22 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Genetics, 10 papers in Plant Science and 9 papers in Animal Science and Zoology. Recurrent topics in David Habier's work include Genetic and phenotypic traits in livestock (21 papers), Genetic Mapping and Diversity in Plants and Animals (17 papers) and Genetics and Plant Breeding (10 papers). David Habier is often cited by papers focused on Genetic and phenotypic traits in livestock (21 papers), Genetic Mapping and Diversity in Plants and Animals (17 papers) and Genetics and Plant Breeding (10 papers). David Habier collaborates with scholars based in United States, Germany and Poland. David Habier's co-authors include Rohan L. Fernando, Jack C. M. Dekkers, Dorian J. Garrick, Kadir Kızılkaya, Jens Tetens, Georg Thaller, Franz R. Seefried, Peter Lichtner, Janet E. Fulton and P. Settar and has published in prestigious journals such as Genetics, BMC Bioinformatics and BMC Genomics.

In The Last Decade

David Habier

22 papers receiving 3.2k citations

Hit Papers

The Impact of Genetic Relationship Information on Genome-... 2007 2026 2013 2019 2007 2011 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Habier United States 13 3.0k 2.0k 383 268 151 22 3.3k
P.J. Bowman Australia 24 3.2k 1.0× 1.4k 0.7× 459 1.2× 985 3.7× 165 1.1× 39 3.5k
Eduardo Manfredi France 20 1.9k 0.6× 886 0.5× 248 0.6× 596 2.2× 156 1.0× 50 2.1k
Daniela Lourenço United States 33 3.0k 1.0× 1.2k 0.6× 748 2.0× 606 2.3× 125 0.8× 217 3.4k
Amanda J. Chamberlain Australia 28 3.2k 1.1× 1.2k 0.6× 398 1.0× 657 2.5× 498 3.3× 74 3.6k
Breno Fragomeni United States 21 1.3k 0.4× 400 0.2× 321 0.8× 203 0.8× 79 0.5× 59 1.4k
Jean Michel J. M. Elsen France 16 1.3k 0.4× 534 0.3× 243 0.6× 153 0.6× 164 1.1× 32 1.4k
C. Schrooten Netherlands 23 1.7k 0.5× 678 0.3× 149 0.4× 350 1.3× 123 0.8× 50 1.8k
T.H.E. Meuwissen Norway 11 1.3k 0.4× 340 0.2× 414 1.1× 358 1.3× 121 0.8× 18 1.6k
E.W. Brascamp Netherlands 25 1.8k 0.6× 380 0.2× 638 1.7× 239 0.9× 187 1.2× 76 2.2k
T.J. Lawlor United States 30 3.4k 1.1× 1.0k 0.5× 1.1k 2.8× 1.3k 5.0× 92 0.6× 87 3.7k

Countries citing papers authored by David Habier

Since Specialization
Citations

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

Fields of papers citing papers by David Habier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Habier

This figure shows the co-authorship network connecting the top 25 collaborators of David Habier. A scholar is included among the top collaborators of David Habier 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 David Habier. David Habier 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.
Xavier, Alencar, Daniel E. Runcie, & David Habier. (2024). Megavariate methods capture complex genotype-by-environment interactions. Genetics. 229(4). 3 indexed citations
2.
Xavier, Alencar & David Habier. (2022). A new approach fits multivariate genomic prediction models efficiently. Genetics Selection Evolution. 54(1). 45–45. 4 indexed citations
3.
Wolc, Anna, Honghua Zhao, Jesus Arango, et al.. (2015). Response and inbreeding from a genomic selection experiment in layer chickens. Genetics Selection Evolution. 47(1). 59–59. 63 indexed citations
4.
Wolc, Anna, Andreas Kranis, Jesus Arango, et al.. (2014). Applications of Genomic Selection in Poultry. Iowa State University Digital Repository (Iowa State University). 80. 2 indexed citations
5.
Wang, Chong, David Habier, Anna Wolc, et al.. (2013). Accuracy of genomic prediction using an evenly spaced, low-density single nucleotide polymorphism panel in broiler chickens. Poultry Science. 92(7). 1712–1723. 23 indexed citations
6.
Wolc, Anna, Jesus Arango, P. Settar, et al.. (2012). Genome‐wide association analysis and genetic architecture of egg weight and egg uniformity in layer chickens. Animal Genetics. 43(s1). 87–96. 86 indexed citations
7.
Wolc, Anna, Jesus Arango, P. Settar, et al.. (2011). Persistence of accuracy of genomic estimated breeding values over generations in layer chickens. Genetics Selection Evolution. 43(1). 23–23. 88 indexed citations
8.
Sun, Xiaochen, David Habier, Rohan L. Fernando, Dorian J. Garrick, & Jack C. M. Dekkers. (2011). Genomic breeding value prediction and QTL mapping of QTLMAS2010 data using Bayesian Methods. BMC Proceedings. 5(S3). S13–S13. 50 indexed citations
9.
Wolc, Anna, Jesus Arango, P. Settar, et al.. (2011). Breeding value prediction for production traits in layer chickens using pedigree or genomic relationships in a reduced animal model. Genetics Selection Evolution. 43(1). 123 indexed citations
10.
Habier, David, Rohan L. Fernando, Kadir Kızılkaya, & Dorian J. Garrick. (2011). Extension of the bayesian alphabet for genomic selection. BMC Bioinformatics. 12(1). 186–186. 887 indexed citations breakdown →
11.
Habier, David, Rohan L. Fernando, & Dorian J. Garrick. (2010). A combined strategy to infer high-density SNP haplotypes in large pedigrees.. Proceedings of the World Congress on Genetics Applied to Livestock Production. 915. 4 indexed citations
13.
Habier, David, Jens Tetens, Franz R. Seefried, Peter Lichtner, & Georg Thaller. (2010). The impact of genetic relationship information on genomic breeding values in German Holstein cattle. Genetics Selection Evolution. 42(1). 5–5. 358 indexed citations
14.
Habier, David, Liviu R. Totir, & Rohan L. Fernando. (2010). A Two-Stage Approximation for Analysis of Mixture Genetic Models in Large Pedigrees. Genetics. 185(2). 655–670. 5 indexed citations
15.
Abasht, Behnam, Erin Sandford, Jesus Arango, et al.. (2009). Extent and consistency of linkage disequilibrium and identification of DNA markers for production and egg quality traits in commercial layer chicken populations. BMC Genomics. 10(S2). S2–S2. 63 indexed citations
16.
Habier, David, Kay‐Uwe Götz, & L. Dempfle. (2008). Genetic parameters for performance and meat quality traits of crossbred pigs housed in two test environments. Livestock Science. 121(2-3). 275–280. 2 indexed citations
17.
Habier, David, Kay‐Uwe Götz, & L. Dempfle. (2008). Breeding programme for Piétrain pigs in Bavaria with an estimation of genetic trends and effective population size. Livestock Science. 123(2-3). 187–192. 4 indexed citations
18.
Habier, David, Rohan L. Fernando, & Jack C. M. Dekkers. (2007). The Impact of Genetic Relationship Information on Genome-Assisted Breeding Values. Genetics. 177(4). 2389–2397. 977 indexed citations breakdown →
19.
Fernando, Rohan L., David Habier, Christian Stricker, Jack C. M. Dekkers, & Liviu R. Totir. (2007). Genomic selection. Acta Agriculturae Scandinavica Section A – Animal Science. 57(4). 192–195. 17 indexed citations
20.
Habier, David, Kay‐Uwe Götz, & L. Dempfle. (2006). Estimation of genetic parameters on test stations using purebred and crossbred progeny of sires of the Bavarian Piétrain. Livestock Science. 107(2-3). 142–151. 12 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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