Hákon Jónsson

10.3k total citations · 1 hit paper
17 papers, 1.8k citations indexed

About

Hákon Jónsson is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Hákon Jónsson has authored 17 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Genetics and 4 papers in Plant Science. Recurrent topics in Hákon Jónsson's work include Genomics and Phylogenetic Studies (7 papers), Chromosomal and Genetic Variations (4 papers) and RNA and protein synthesis mechanisms (4 papers). Hákon Jónsson is often cited by papers focused on Genomics and Phylogenetic Studies (7 papers), Chromosomal and Genetic Variations (4 papers) and RNA and protein synthesis mechanisms (4 papers). Hákon Jónsson collaborates with scholars based in Iceland, Denmark and United States. Hákon Jónsson's co-authors include Ludovic Orlando, Aurélien Ginolhac, Mikkel Schubert, Philip L. Johnson, Eske Willerslev, Luca Ermini, Clio Der Sarkissian, Kāri Stefánsson, Michael D. Martin and Molly E. McCue and has published in prestigious journals such as Nature, Cell and Nature Communications.

In The Last Decade

Hákon Jónsson

17 papers receiving 1.8k citations

Hit Papers

mapDamage2.0: fast approximate Bayesian estimates of anci... 2013 2026 2017 2021 2013 250 500 750
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.

  1. mapDamage2.0: fast approximate Bayesian estimates of ancient DNA damage parameters
    2013 934 citations Hákon Jónsson, Aurélien Ginolhac et al. Bioinformatics profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hákon Jónsson Iceland 12 1.3k 744 417 343 330 17 1.8k
Luca Ermini United Kingdom 19 983 0.8× 843 1.1× 443 1.1× 373 1.1× 257 0.8× 35 2.0k
María C. Ávila‐Arcos United States 21 839 0.7× 464 0.6× 436 1.0× 278 0.8× 245 0.7× 39 1.5k
Aurélien Ginolhac Luxembourg 18 1.5k 1.2× 1.2k 1.6× 742 1.8× 480 1.4× 485 1.5× 31 2.8k
Clio Der Sarkissian France 18 856 0.7× 617 0.8× 652 1.6× 213 0.6× 357 1.1× 25 1.6k
Marie-Theres Gansauge Germany 12 1.2k 0.9× 659 0.9× 479 1.1× 606 1.8× 563 1.7× 14 2.0k
Ceiridwen J. Edwards United Kingdom 27 1.5k 1.2× 373 0.5× 602 1.4× 197 0.6× 379 1.1× 51 2.2k
Enrico Cappellini Denmark 24 725 0.6× 706 0.9× 428 1.0× 569 1.7× 498 1.5× 54 2.0k
Stephan Schiffels Germany 13 1.3k 1.0× 461 0.6× 208 0.5× 327 1.0× 268 0.8× 25 1.7k
Susanna Sawyer Germany 9 711 0.6× 571 0.8× 376 0.9× 427 1.2× 399 1.2× 17 1.6k
Jesse Dabney Germany 6 870 0.7× 566 0.8× 408 1.0× 382 1.1× 344 1.0× 6 1.4k

Countries citing papers authored by Hákon Jónsson

Since Specialization
Citations

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

Fields of papers citing papers by Hákon Jónsson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hákon Jónsson

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

All Works

17 of 17 papers shown
1.
Pálsson, Gunnar, Marteinn T. Hardarson, Hákon Jónsson, et al.. (2025). Complete human recombination maps. Nature. 639(8055). 700–707. 12 indexed citations
2.
Moore, Kristjan H. S., S. Sunna Ebenesersdóttir, Kamran Guity, et al.. (2024). The rate and nature of mitochondrial DNA mutations in human pedigrees. Cell. 187(15). 3904–3918.e8. 17 indexed citations
3.
Arnadottir, Gudny A., Brynjar Ö. Jensson, Aðalbjörg Jónasdóttir, et al.. (2023). A population-based survey of FBN1 variants in Iceland reveals underdiagnosis of Marfan syndrome. European Journal of Human Genetics. 32(1). 44–51. 4 indexed citations
4.
Gymrek, Melissa, et al.. (2023). Human pangenome supports analysis of complex genomic regions. Nature. 617(7960). 256–258. 1 indexed citations
5.
Niehus, Sebastian, Hákon Jónsson, Eyþór Björnsson, et al.. (2021). PopDel identifies medium-size deletions simultaneously in tens of thousands of genomes. Nature Communications. 12(1). 730–730. 9 indexed citations
6.
Skov, Laurits, Garðar Sveinbjörnsson, Fabrizio Mafessoni, et al.. (2020). The nature of Neanderthal introgression revealed by 27,566 Icelandic genomes. Nature. 582(7810). 78–83. 56 indexed citations
7.
Eggertsson, Hannes P., Snædís Kristmundsdóttir, Doruk Beyter, et al.. (2019). GraphTyper2 enables population-scale genotyping of structural variation using pangenome graphs. Nature Communications. 10(1). 5402–5402. 83 indexed citations
8.
Jagadeesan, Anuradha, Ellen D. Gunnarsdóttir, S. Sunna Ebenesersdóttir, et al.. (2018). Reconstructing an African haploid genome from the 18th century. Nature Genetics. 50(2). 199–205. 11 indexed citations
9.
Eggertsson, Hannes P., Hákon Jónsson, Snædís Kristmundsdóttir, et al.. (2017). Graphtyper enables population-scale genotyping using pangenome graphs. Nature Genetics. 49(11). 1654–1660. 113 indexed citations
10.
Kehr, Birte, Anna Helgadóttir, Páll Melsted, et al.. (2017). Diversity in non-repetitive human sequences not found in the reference genome. Nature Genetics. 49(4). 588–593. 38 indexed citations
11.
Guillot, G., et al.. (2015). Accurate continuous geographic assignment from low- to high-density SNP data. Bioinformatics. 32(7). 1106–1108. 16 indexed citations
12.
Rasmussen, Morten, Martin Sikora, Anders Albrechtsen, et al.. (2015). The ancestry and affiliations of Kennewick Man. Nature. 523(7561). 455–458. 133 indexed citations
13.
Schubert, Mikkel, Luca Ermini, Clio Der Sarkissian, et al.. (2014). Characterization of ancient and modern genomes by SNP detection and phylogenomic and metagenomic analysis using PALEOMIX. Nature Protocols. 9(5). 1056–1082. 314 indexed citations
14.
Kapralova, Kalina H., Sigríður Rut Franzdóttir, Hákon Jónsson, Sigurður S. Snorrason, & Zophonı́as O. Jónsson. (2014). Patterns of MiRNA Expression in Arctic Charr Development. PLoS ONE. 9(8). e106084–e106084. 15 indexed citations
15.
Sarkissian, Clio Der, Luca Ermini, Hákon Jónsson, et al.. (2014). Shotgun microbial profiling of fossil remains. Molecular Ecology. 23(7). 1780–1798. 44 indexed citations
16.
Jónsson, Hákon, Aurélien Ginolhac, Mikkel Schubert, Philip L. Johnson, & Ludovic Orlando. (2013). mapDamage2.0: fast approximate Bayesian estimates of ancient DNA damage parameters. Bioinformatics. 29(13). 1682–1684. 934 indexed citations breakdown →
17.
Holderbaum, Daniel Ferreira, Jane Bleasel, Hákon Jónsson, et al.. (1996). Arg519-Cys-associated haplotype in ice-landic family suggests early origin of this mutation. Matrix Biology. 15(3). 178–179. 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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