Håkon Håkonarson
- Genetics top 0.02%
- Genetic Associations and Epidemiology 80
- Genomic variations and chromosomal abnormalities 72
- Genetics and Neurodevelopmental Disorders 50
- Genomics and Rare Diseases 41
- Diabetes and associated disorders 27
- Cognitive Neuroscience top 0.2%
- Cancer Research top 0.2%
- Molecular Biology top 0.2%
- Congenital heart defects research 41
- RNA modifications and cancer 27
- Immunology top 0.5%
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- Asthma and respiratory diseases 48
- Co-authors
- Kai WangMan LiRaquel E. GurRuben C. GurJoseph GlessnerTheodore D. SatterthwaiteKosha RuparelStruan F.A. Grant
- Partner nations
- United StatesChinaIceland
In The Last Decade
Håkon Håkonarson
560 papers receiving 34.2k citations
Hit Papers
Peers
Comparison fields: 5 of 201
- Genetics 11.6k
- Cognitive Neuroscience 5.5k
- Cancer Research 3.7k
- Molecular Biology 12.4k
- Immunology 2.7k
Countries citing papers authored by Håkon Håkonarson
This map shows the geographic impact of Håkon Håkonarson'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 Håkon Håkonarson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Håkon Håkonarson more than expected).
Fields of papers citing papers by Håkon Håkonarson
This network shows the impact of papers produced by Håkon Håkonarson. 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 Håkon Håkonarson. The network helps show where Håkon Håkonarson may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Håkon Håkonarson, 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 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 0 | |
| 7 | 2023 | 3 | |
| 8 | 2023 | 4 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 15 | |
| 11 | 2022 | 17 | |
| 12 | 2022 | 11 | |
| 13 | 2022 | 2 | |
| 14 | 2021 | 11 | |
| 15 | 2019 | 7 | |
| 16 | Genetic Discrimination between LADA and Type 1 Diabetes within the MHC | 2018 | 1 |
| 17 | 2017 | 63 | |
| 18 | 2014 | 79 | |
| 19 | 2009 | 142 | |
| 20 | 2004 | 6 |
About Håkon Håkonarson
Håkon Håkonarson is a scholar working on Genetics, Immunology and Molecular Biology, having authored 587 papers that have together received 34.7k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (80 papers), Genomic variations and chromosomal abnormalities (72 papers), Genetics and Neurodevelopmental Disorders (50 papers), Asthma and respiratory diseases (48 papers), Genomics and Rare Diseases (41 papers), Congenital heart defects research (41 papers), RNA modifications and cancer (27 papers) and Diabetes and associated disorders (27 papers). The work is most often cited by research in Genetics (11.6k citations), Cognitive Neuroscience (5.5k citations) and Cancer Research (3.7k citations). Håkon Håkonarson has collaborated with scholars based in United States, China and Iceland. Frequent co-authors include Kai Wang, Man Li, Raquel E. Gur, Ruben C. Gur, Joseph Glessner, Theodore D. Satterthwaite, Kosha Ruparel, Struan F.A. Grant, Mingyao Li and Daniel H. Wolf. Their work appears in journals such as PLoS ONE, Scientific Reports, Human Molecular Genetics, Journal of Allergy and Clinical Immunology and Frontiers in Genetics.
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.