Hákon Jónsson
Impact in
- Paleontology top 2%
- Archaeology and ancient environmental studies
- Genetics top 1%
- Forensic and Genetic Research
- Genetic diversity and population structure
- Yersinia bacterium, plague, ectoparasites research
Papers in
-
- Genomics and Phylogenetic Studies 7
- RNA and protein synthesis mechanisms 4
- Genomics and Chromatin Dynamics 2
- Genetics 8
- Forensic and Genetic Research 3
- Genomics and Rare Diseases 2
- Co-authors
- Ludovic Orlando (5 shared papers)Mikkel Schubert (2 shared papers)Aurélien Ginolhac (2 shared papers)Philip L. Johnson (1 shared paper)Eske Willerslev (2 shared papers)Clio Der Sarkissian (2 shared papers)Luca Ermini (2 shared papers)Kāri Stefánsson (9 shared papers)
- Journals
- Nature (4 papers)Nature Genetics (3 papers)Nature Communications (2 papers)Bioinformatics (2 papers)Matrix Biology (1 paper)
- Partner nations
- IcelandUnited StatesDenmark
In The Last Decade
Hákon Jónsson
17 papers receiving 1.8k citations
Hákon Jónsson's Hit Papers
Peers
Comparison fields: 5 of 117
- Paleontology 330
- Genetics 1.3k
- Archeology 343
- Ecology 417
- Anthropology 128
Countries citing papers authored by Hákon Jónsson
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
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-authors
The 25 scholars most cited alongside Hákon Jónsson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | mapDamage2.0: fast approximate Bayesian estimates of ancient DNA damage parameters Hit paper breakdown → | 2013 | 934 |
| 2 | 2014 | 314 | |
| 3 | 2015 | 133 | |
| 4 | 2017 | 113 | |
| 5 | 2019 | 83 | |
| 6 | 2020 | 56 | |
| 7 | 2014 | 44 | |
| 8 | 2017 | 38 | |
| 9 | 2024 | 17 | |
| 10 | 2015 | 16 | |
| 11 | 2014 | 15 | |
| 12 | 2025 | 12 | |
| 13 | 2018 | 11 | |
| 14 | 2021 | 9 | |
| 15 | 1996 | 8 | |
| 16 | 2023 | 4 | |
| 17 | 2023 | 1 |
About Hákon Jónsson
Hákon Jónsson is a scholar working on Molecular Biology, Genetics, Plant Science, Archeology and Anthropology, having authored 17 papers that have together received 1.8k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (7 papers), RNA and protein synthesis mechanisms (4 papers), Chromosomal and Genetic Variations (4 papers), Forensic and Genetic Research (3 papers), Forensic Anthropology and Bioarchaeology Studies (3 papers), Genomics and Chromatin Dynamics (2 papers), Genomics and Rare Diseases (2 papers) and Pleistocene-Era Hominins and Archaeology (2 papers). The work is most often cited by research in Paleontology (330 citations), Genetics (1.3k citations), Archeology (343 citations), Ecology (417 citations) and Anthropology (128 citations). Hákon Jónsson has collaborated with scholars based in Iceland, United States and Denmark. Frequent co-authors include Ludovic Orlando, Mikkel Schubert, Aurélien Ginolhac, Philip L. Johnson, Eske Willerslev, Clio Der Sarkissian, Luca Ermini, Kāri Stefánsson, Robert Schaefer and Molly E. McCue. Their work appears in journals such as Nature, Nature Genetics, Nature Communications, Bioinformatics and Matrix Biology.
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.