Anders Husby
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research 5
- COVID-19 Clinical Research Studies 4
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- Viral Infections and Immunology Research 4
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies 2
- Animal Science and Zoology top 10%
- Animal Virus Infections Studies 3
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- Cancer Risks and Factors 3
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- Birth, Development, and Health 2
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- Ovarian cancer diagnosis and treatment 2
- Co-authors
- Jan WohlfahrtMads MelbyeAnders HviidJørgen Vinsløv HansenReimar W. ThomsenHenrik Toft SørensenLars KøberMorten Madsen
- Journals
- BMJ (3 papers)JNCI Journal of the National Cancer Institute (1 paper)Journal of Allergy and Clinical Immunology (1 paper)
- Partner nations
- DenmarkNorwayUnited States
In The Last Decade
Anders Husby
17 papers receiving 597 citations
Hit Papers
Peers
Comparison fields: 5 of 80
- Infectious Diseases 273
- Cardiology and Cardiovascular Medicine 191
- Modeling and Simulation 27
- Animal Science and Zoology 52
- Health 43
Countries citing papers authored by Anders Husby
This map shows the geographic impact of Anders Husby'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 Anders Husby with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anders Husby more than expected).
Fields of papers citing papers by Anders Husby
This network shows the impact of papers produced by Anders Husby. 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 Anders Husby. The network helps show where Anders Husby may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Anders Husby, 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 | 2024 | 12 | |
| 2 | 2023 | 20 | |
| 3 | 2023 | 14 | |
| 4 | 2022 | 5 | |
| 5 | SARS-CoV-2 Vaccination and Myocarditis in a Nordic Cohort Study of 23 Million Residentsbreakdown → | 2022 | 127 |
| 6 | 2022 | 9 | |
| 7 | 2021 | 4 | |
| 8 | SARS-CoV-2 vaccination and myocarditis or myopericarditis: population based cohort studybreakdown → | 2021 | 163 |
| 9 | 2020 | 35 | |
| 10 | 2020 | 12 | |
| 11 | 2019 | 21 | |
| 12 | 2019 | 19 | |
| 13 | 2018 | 48 | |
| 14 | 2018 | 2 | |
| 15 | 2017 | 4 | |
| 16 | 2017 | 11 | |
| 17 | 2014 | 1 | |
| 18 | 2010 | 102 |
About Anders Husby
Anders Husby is a scholar working on Modeling and Simulation, Infectious Diseases and Animal Science and Zoology, having authored 18 papers that have together received 609 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (5 papers), COVID-19 Clinical Research Studies (4 papers), Viral Infections and Immunology Research (4 papers), Cancer Risks and Factors (3 papers), Animal Virus Infections Studies (3 papers), COVID-19 epidemiological studies (2 papers), Birth, Development, and Health (2 papers) and Ovarian cancer diagnosis and treatment (2 papers). The work is most often cited by research in Infectious Diseases (273 citations), Cardiology and Cardiovascular Medicine (191 citations) and Modeling and Simulation (27 citations). Anders Husby has collaborated with scholars based in Denmark, Norway and United States. Frequent co-authors include Jan Wohlfahrt, Mads Melbye, Anders Hviid, Jørgen Vinsløv Hansen, Reimar W. Thomsen, Henrik Toft Sørensen, Lars Køber, Morten Madsen, Emil Loldrup Fosbøl and Gunnar Gislason. Their work appears in journals such as BMJ, JNCI Journal of the National Cancer Institute, Journal of Allergy and Clinical Immunology, Nature Communications and JAMA Cardiology.
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.