Jonas Meisner

1.2k total citations · 1 hit paper
15 papers, 583 citations indexed

About

Jonas Meisner is a scholar working on Genetics, Molecular Biology and Plant Science. According to data from OpenAlex, Jonas Meisner has authored 15 papers receiving a total of 583 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Genetics, 6 papers in Molecular Biology and 3 papers in Plant Science. Recurrent topics in Jonas Meisner's work include Genetic Associations and Epidemiology (6 papers), Genetic and phenotypic traits in livestock (4 papers) and Genetic Mapping and Diversity in Plants and Animals (3 papers). Jonas Meisner is often cited by papers focused on Genetic Associations and Epidemiology (6 papers), Genetic and phenotypic traits in livestock (4 papers) and Genetic Mapping and Diversity in Plants and Animals (3 papers). Jonas Meisner collaborates with scholars based in Denmark, United Kingdom and United States. Jonas Meisner's co-authors include Anders Albrechtsen, Kristian Hanghøj, Siyang Liu, Nunzio D’Agostino, Pasquale Tripodi, Vincenza Colonna, Genís Garcia‐Erill, Angelo Facchiano, Erik Garrison and Teodoro Cardi and has published in prestigious journals such as Cell, Nature Communications and Nature Genetics.

In The Last Decade

Jonas Meisner

13 papers receiving 580 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.

Inferring Population Structure and Admixture Proportions in Low-Depth NGS Data

2018 395 citations Jonas Meisner, Anders Albrechtsen Genetics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jonas Meisner Denmark	9	389	183	167	95	89	15	583
Silje Hogner Norway	9	495 1.3×	195 1.1×	171 1.0×	171 1.8×	113 1.3×	11	633
Rémy Dernat France	3	322 0.8×	212 1.2×	177 1.1×	101 1.1×	42 0.5×	3	510
Natacha Faivre France	6	345 0.9×	174 1.0×	162 1.0×	133 1.4×	50 0.6×	6	548
Miguel Navascués France	16	429 1.1×	176 1.0×	157 0.9×	159 1.7×	140 1.6×	33	664
Yoann Anciaux France	4	294 0.8×	126 0.7×	94 0.6×	100 1.1×	43 0.5×	4	406
Filippo Barbanera Italy	15	390 1.0×	230 1.3×	269 1.6×	97 1.0×	41 0.5×	50	616
Claire Peart United Kingdom	7	241 0.6×	164 0.9×	154 0.9×	68 0.7×	41 0.5×	11	432
C.J. Battey United States	9	368 0.9×	145 0.8×	136 0.8×	94 1.0×	59 0.7×	13	533
Peter Wilton United States	14	364 0.9×	233 1.3×	124 0.7×	78 0.8×	37 0.4×	20	601
Stefan Laurent Germany	16	486 1.2×	265 1.4×	146 0.9×	240 2.5×	194 2.2×	33	849

Countries citing papers authored by Jonas Meisner

Since Specialization

Citations

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

Fields of papers citing papers by Jonas Meisner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonas Meisner

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

All Works

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15 of 15 papers shown

Ravn, Kirstine, Jonas Meisner, Michael E. Benros, et al.. (2025). Tracing the evolutionary history of the CCR5delta32 deletion via ancient and modern genomes. Cell. 188(14). 3679–3695.e16.

Niu, Lili, Sara Stinson, Louise Aas Holm, et al.. (2025). Plasma proteome variation and its genetic determinants in children and adolescents. Nature Genetics. 57(3). 635–646. 7 indexed citations

Meisner, Jonas, Michael E. Benros, & Simon Rasmussen. (2025). Leveraging haplotype information in heritability estimation and polygenic prediction. Nature Communications. 16(1). 126–126.

Refoyo-Martínez, Alba, et al.. (2024). Faster model-based estimation of ancestry proportions. SHILAP Revista de lepidopterología. 4. 1 indexed citations

Andersen, Mette K., Emil Jørsboe, Frederik Filip Stæger, et al.. (2023). GWAS of lipids in Greenlanders finds association signals shared with Europeans and reveals an independent PCSK9 association signal. European Journal of Human Genetics. 32(2). 215–223. 5 indexed citations

Li, Zilong, Jonas Meisner, & Anders Albrechtsen. (2023). Fast and accurate out-of-core PCA framework for large scale biobank data. Genome Research. 33(9). 1599–1608. 8 indexed citations

Meisner, Jonas & Anders Albrechtsen. (2022). Haplotype and population structure inference using neural networks in whole-genome sequencing data. Genome Research. 32(8). 1542–1552. 14 indexed citations

Meisner, Jonas, Simon Rasmussen, & Michael E. Benros. (2022). Towards precision psychiatry utilizing large-scale multimodal data paving the way for improved prevention and treatment of mental disorders. Neuroscience Applied. 2. 101017–101017. 4 indexed citations

Meisner, Jonas, et al.. (2021). Large-scale inference of population structure in presence of missingness using PCA. Bioinformatics. 37(13). 1868–1875. 18 indexed citations

10.

Heller, Rasmus, Genís Garcia‐Erill, Jordi Salmona, et al.. (2021). A reference‐free approach to analyse RADseq data using standard next generation sequencing toolkits. Molecular Ecology Resources. 21(4). 1085–1097. 17 indexed citations

11.

Pečnerová, Patrícia, Genís Garcia‐Erill, Xiaodong Liu, et al.. (2021). High genetic diversity and low differentiation reflect the ecological versatility of the African leopard. Current Biology. 31(9). 1862–1871.e5. 37 indexed citations

12.

Meisner, Jonas, Anders Albrechtsen, & Kristian Hanghøj. (2021). Detecting selection in low-coverage high-throughput sequencing data using principal component analysis. BMC Bioinformatics. 22(1). 470–470. 17 indexed citations

13.

Meisner, Jonas & Anders Albrechtsen. (2019). Testing for Hardy–Weinberg equilibrium in structured populations using genotype or low‐depth next generation sequencing data. Molecular Ecology Resources. 19(5). 1144–1152. 25 indexed citations

14.

Colonna, Vincenza, Nunzio D’Agostino, Erik Garrison, et al.. (2019). Genomic diversity and novel genome-wide association with fruit morphology in Capsicum, from 746k polymorphic sites. Scientific Reports. 9(1). 10067–10067. 35 indexed citations

15.

Meisner, Jonas & Anders Albrechtsen. (2018). Inferring Population Structure and Admixture Proportions in Low-Depth NGS Data. Genetics. 210(2). 719–731. 395 indexed citations breakdown →

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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