Florian Privé

3.9k total citations · 3 hit papers
27 papers, 1.5k citations indexed

About

Florian Privé is a scholar working on Genetics, Molecular Biology and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Florian Privé has authored 27 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Genetics, 8 papers in Molecular Biology and 3 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Florian Privé's work include Genetic Associations and Epidemiology (20 papers), Genetic Mapping and Diversity in Plants and Animals (11 papers) and Genetic and phenotypic traits in livestock (10 papers). Florian Privé is often cited by papers focused on Genetic Associations and Epidemiology (20 papers), Genetic Mapping and Diversity in Plants and Animals (11 papers) and Genetic and phenotypic traits in livestock (10 papers). Florian Privé collaborates with scholars based in Denmark, United States and France. Florian Privé's co-authors include Bjarni J. Vilhjálmsson, Michaël G. B. Blum, Julyan Arbel, Hugues Aschard, Keurcien Luu, Andrey Ziyatdinov, Doug Speed, Qianqian Zhang, Bogdan Paşaniuc and Shai Carmi and has published in prestigious journals such as Nature, Nature Communications and Nature Genetics.

In The Last Decade

Florian Privé

25 papers receiving 1.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

LDpred2: better, faster, stronger

2020 323 citations Florian Privé, Julyan Arbel et al. Bioinformatics profile →
Portability of 245 polygenic scores when derived from the UK Biobank and applied to 9 ancestry groups from the same cohort

2022 135 citations Florian Privé, Hugues Aschard et al. The American Journal of Human Genetics profile →
Polygenic scoring accuracy varies across the genetic ancestry continuum

2023 90 citations Yi Ding, Kangcheng Hou et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Florian Privé Denmark	18	1.0k	392	141	92	83	27	1.5k
Julia Sidorenko Australia	14	1.5k 1.4×	600 1.5×	185 1.3×	65 0.7×	44 0.5×	27	2.3k
Geraldine M Clarke United Kingdom	14	928 0.9×	518 1.3×	253 1.8×	88 1.0×	27 0.3×	37	2.0k
Luke R. Lloyd‐Jones Australia	15	903 0.9×	472 1.2×	77 0.5×	39 0.4×	51 0.6×	33	1.4k
Janis Wigginton United States	8	838 0.8×	586 1.5×	211 1.5×	74 0.8×	22 0.3×	10	1.9k
Clive Hoggart United Kingdom	18	1.5k 1.5×	678 1.7×	130 0.9×	49 0.5×	79 1.0×	25	2.7k
Matthew P. Conomos United States	16	861 0.8×	549 1.4×	80 0.6×	47 0.5×	27 0.3×	26	1.5k
Hilary C. Martin United Kingdom	16	809 0.8×	612 1.6×	82 0.6×	83 0.9×	21 0.3×	25	1.6k
Jian Zeng Australia	20	1.4k 1.4×	540 1.4×	103 0.7×	49 0.5×	41 0.5×	48	2.0k
Manuel A. Rivas United States	28	1.6k 1.5×	1.3k 3.3×	154 1.1×	62 0.7×	55 0.7×	67	2.7k
Gabriel E. Hoffman United States	24	708 0.7×	965 2.5×	68 0.5×	50 0.5×	30 0.4×	51	2.0k

Countries citing papers authored by Florian Privé

Since Specialization

Citations

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

Fields of papers citing papers by Florian Privé

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Florian Privé

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

All Works

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20 of 20 papers shown

Agerbo, Esben, Oleguer Plana‐Ripoll, Morten Dybdahl Krebs, et al.. (2023). ADuLT: An efficient and robust time-to-event GWAS. Nature Communications. 14(1). 5553–5553. 16 indexed citations

Albiñana, Clara, Zhihong Zhu, Andrew J. Schork, et al.. (2023). Multi-PGS enhances polygenic prediction by combining 937 polygenic scores. Nature Communications. 14(1). 4702–4702. 25 indexed citations

Privé, Florian. (2022). Using the UK Biobank as a global reference of worldwide populations: application to measuring ancestry diversity from GWAS summary statistics. Bioinformatics. 38(13). 3477–3480. 18 indexed citations

Grotzinger, Andrew D., Javier de la Fuente, Florian Privé, Michel G. Nivard, & Elliot M. Tucker–Drob. (2022). Pervasive Downward Bias in Estimates of Liability-Scale Heritability in Genome-wide Association Study Meta-analysis: A Simple Solution. Biological Psychiatry. 93(1). 29–36. 32 indexed citations

Privé, Florian, Hugues Aschard, Shai Carmi, et al.. (2022). Portability of 245 polygenic scores when derived from the UK Biobank and applied to 9 ancestry groups from the same cohort. The American Journal of Human Genetics. 109(1). 12–23. 135 indexed citations breakdown →

Privé, Florian, Julyan Arbel, Hugues Aschard, & Bjarni J. Vilhjálmsson. (2022). Identifying and correcting for misspecifications in GWAS summary statistics and polygenic scores. Human Genetics and Genomics Advances. 3(4). 100136–100136. 36 indexed citations

Privé, Florian. (2021). Optimal linkage disequilibrium splitting. Bioinformatics. 38(1). 255–256. 8 indexed citations

Ziyatdinov, Andrey, Jihye Kim, Dmitry Prokopenko, et al.. (2021). Estimating the effective sample size in association studies of quantitative traits. G3 Genes Genomes Genetics. 11(6). 13 indexed citations

Ding, Yi, Kangcheng Hou, Kathryn S. Burch, et al.. (2021). Large uncertainty in individual polygenic risk score estimation impacts PRS-based risk stratification. Nature Genetics. 54(1). 30–39. 56 indexed citations

10.

Zhang, Qianqian, Florian Privé, Bjarni J. Vilhjálmsson, & Doug Speed. (2021). Improved genetic prediction of complex traits from individual-level data or summary statistics. Nature Communications. 12(1). 4192–4192. 82 indexed citations

11.

Albiñana, Clara, Jakob Grove, John J. McGrath, et al.. (2021). Leveraging both individual-level genetic data and GWAS summary statistics increases polygenic prediction. The American Journal of Human Genetics. 108(6). 1001–1011. 26 indexed citations

12.

Vilhjálmsson, Bjarni J., Clara Albiñana, Esben Agerbo, et al.. (2021). LEVERAGING THOUSANDS OF POLYGENIC SCORES, FAMILY HISTORY, AND AGE-OF-ONSET INFORMATION TO OPTIMIZE RISK PREDICTION FOR PSYCHIATRIC AND NEUROLOGICAL DISORDERS. European Neuropsychopharmacology. 51. e32–e33.

13.

Privé, Florian, Julyan Arbel, & Bjarni J. Vilhjálmsson. (2020). LDpred2: better, faster, stronger. Bioinformatics. 36(22-23). 5424–5431. 323 indexed citations breakdown →

14.

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

15.

Østergaard, Søren Dinesen, Betina B. Trabjerg, Thomas D. Als, et al.. (2020). Polygenic risk score, psychosocial environment and the risk of attention-deficit/hyperactivity disorder. Translational Psychiatry. 10(1). 335–335. 23 indexed citations

16.

Privé, Florian, Daniel Jost, E. Andrés Houseman, et al.. (2020). Guidelines for cell-type heterogeneity quantification based on a comparative analysis of reference-free DNA methylation deconvolution software. BMC Bioinformatics. 21(1). 16–16. 25 indexed citations

17.

Privé, Florian, Hugues Aschard, & Michaël G. B. Blum. (2019). Efficient Implementation of Penalized Regression for Genetic Risk Prediction. Genetics. 212(1). 65–74. 43 indexed citations

18.

Privé, Florian, Bjarni J. Vilhjálmsson, Hugues Aschard, & Michaël G. B. Blum. (2019). Making the Most of Clumping and Thresholding for Polygenic Scores. The American Journal of Human Genetics. 105(6). 1213–1221. 99 indexed citations

19.

Privé, Florian, Hugues Aschard, Andrey Ziyatdinov, & Michaël G. B. Blum. (2018). Efficient analysis of large-scale genome-wide data with two R packages: bigstatsr and bigsnpr. Bioinformatics. 34(16). 2781–2787. 188 indexed citations

20.

Laville, Vincent, Florian Privé, Xiaofeng Zhu, et al.. (2018). VarExp: estimating variance explained by genome-wide GxE summary statistics. Bioinformatics. 34(19). 3412–3414. 8 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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