Keurcien Luu

2.0k total citations · 1 hit paper
7 papers, 1.2k citations indexed

About

Keurcien Luu is a scholar working on Genetics, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Keurcien Luu has authored 7 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Genetics, 2 papers in Molecular Biology and 2 papers in Artificial Intelligence. Recurrent topics in Keurcien Luu's work include Genetic Mapping and Diversity in Plants and Animals (5 papers), Genetic and phenotypic traits in livestock (5 papers) and Genetic Associations and Epidemiology (3 papers). Keurcien Luu is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (5 papers), Genetic and phenotypic traits in livestock (5 papers) and Genetic Associations and Epidemiology (3 papers). Keurcien Luu collaborates with scholars based in France, Denmark and Australia. Keurcien Luu's co-authors include Michaël G. B. Blum, Éric Bazin, Bjarni J. Vilhjálmsson, Florian Privé, Thibaut Capblancq, Guillaume Laval, Nicolas Duforet-Frebourg, John J. McGrath, Helena Martins and Kévin Caye and has published in prestigious journals such as Bioinformatics, Molecular Ecology and Molecular Biology and Evolution.

In The Last Decade

Keurcien Luu

7 papers receiving 1.2k citations

Hit Papers

pcadapt : an R package to perform genome scans for select... 2016 2026 2019 2022 2016 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Keurcien Luu France 6 794 311 249 224 184 7 1.2k
Andrés Pérez‐Figueroa Spain 18 623 0.8× 272 0.9× 272 1.1× 186 0.8× 152 0.8× 33 1.0k
Aurélien Bernard France 15 578 0.7× 491 1.6× 428 1.7× 154 0.7× 176 1.0× 17 1.4k
Nicolas C. Rochette United States 8 809 1.0× 468 1.5× 525 2.1× 209 0.9× 235 1.3× 9 1.4k
Hernán E. Morales Denmark 17 687 0.9× 289 0.9× 325 1.3× 81 0.4× 124 0.7× 34 948
Emiliano Trucchi Italy 21 718 0.9× 459 1.5× 360 1.4× 226 1.0× 259 1.4× 57 1.4k
Céline Caseys United States 11 622 0.8× 291 0.9× 279 1.1× 230 1.0× 342 1.9× 18 1.2k
Vincent Dubut France 18 946 1.2× 518 1.7× 565 2.3× 308 1.4× 251 1.4× 38 1.6k
Pierre de Villemereuil France 17 798 1.0× 491 1.6× 202 0.8× 305 1.4× 187 1.0× 40 1.6k
Ryan K. Waples United States 17 842 1.1× 303 1.0× 327 1.3× 380 1.7× 157 0.9× 21 1.1k
Sarah Lutteropp Germany 8 305 0.4× 285 0.9× 313 1.3× 128 0.6× 84 0.5× 10 881

Countries citing papers authored by Keurcien Luu

Since Specialization
Citations

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

Fields of papers citing papers by Keurcien Luu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keurcien Luu

This figure shows the co-authorship network connecting the top 25 collaborators of Keurcien Luu. A scholar is included among the top collaborators of Keurcien Luu 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 Keurcien Luu. Keurcien Luu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Privé, Florian, Keurcien Luu, Michaël G. B. Blum, John J. McGrath, & Bjarni J. Vilhjálmsson. (2020). Efficient toolkit implementing best practices for principal component analysis of population genetic data. Bioinformatics. 36(16). 4449–4457. 67 indexed citations
2.
Privé, Florian, Keurcien Luu, Bjarni J. Vilhjálmsson, & Michaël G. B. Blum. (2020). Performing Highly Efficient Genome Scans for Local Adaptation with R Package pcadapt Version 4. Molecular Biology and Evolution. 37(7). 2153–2154. 162 indexed citations
3.
Luu, Keurcien, Yuna Blum, & Florian Privé. (2020). Fast Principal Component Analysis for Outlier Detection [R package pcadapt version 4.3.3]. 1 indexed citations
4.
Capblancq, Thibaut, Keurcien Luu, Michaël G. B. Blum, & Éric Bazin. (2018). Evaluation of redundancy analysis to identify signatures of local adaptation. Molecular Ecology Resources. 18(6). 1223–1233. 141 indexed citations
5.
Martins, Helena, Kévin Caye, Keurcien Luu, Michaël G. B. Blum, & Olivier François. (2016). Identifying outlier loci in admixed and in continuous populations using ancestral population differentiation statistics. Molecular Ecology. 25(20). 5029–5042. 30 indexed citations
6.
Luu, Keurcien, Éric Bazin, & Michaël G. B. Blum. (2016). pcadapt : an R package to perform genome scans for selection based on principal component analysis. Molecular Ecology Resources. 17(1). 67–77. 654 indexed citations breakdown →
7.
Duforet-Frebourg, Nicolas, Keurcien Luu, Guillaume Laval, Éric Bazin, & Michaël G. B. Blum. (2015). Detecting Genomic Signatures of Natural Selection with Principal Component Analysis: Application to the 1000 Genomes Data. Molecular Biology and Evolution. 33(4). 1082–1093. 119 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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