Ulrika Marking
Impact in
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- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
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- COVID-19 epidemiological studies
Papers in
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- SARS-CoV-2 and COVID-19 Research 7
- COVID-19 Clinical Research Studies 4
- SARS-CoV-2 detection and testing 3
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- COVID-19 epidemiological studies 3
- Co-authors
- Sebastian Havervall (9 shared papers)Jonas Klingström (9 shared papers)Charlotte Thålin (7 shared papers)Kim Blom (8 shared papers)Nina Greilert‐Norin (8 shared papers)Mikael Åberg (7 shared papers)Sophia Hober (5 shared papers)Mia Phillipson (5 shared papers)
- Journals
- EBioMedicine (2 papers)The Lancet Regional Health - Europe (2 papers)Nature Communications (1 paper)Frontiers in Immunology (1 paper)PLoS neglected tropical diseases (1 paper)
- Partner nations
- SwedenNetherlandsSwitzerland
In The Last Decade
Ulrika Marking
9 papers receiving 95 citations
Peers
Comparison fields: 5 of 32
- Infectious Diseases 79
- Modeling and Simulation 7
- Health 11
- Microbiology 7
- Animal Science and Zoology 11
Countries citing papers authored by Ulrika Marking
This map shows the geographic impact of Ulrika Marking'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 Ulrika Marking with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ulrika Marking more than expected).
Fields of papers citing papers by Ulrika Marking
This network shows the impact of papers produced by Ulrika Marking. 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 Ulrika Marking. The network helps show where Ulrika Marking may publish in the future.
Co-authors
The 25 scholars most cited alongside Ulrika Marking, 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 | 2021 | 32 | |
| 2 | 2014 | 13 | |
| 3 | 2022 | 13 | |
| 4 | 2023 | 12 | |
| 5 | 2024 | 11 | |
| 6 | 2022 | 7 | |
| 7 | 2021 | 5 | |
| 8 | 2023 | 2 | |
| 9 | 2025 | 1 | |
| 10 | 2024 | 0 |
About Ulrika Marking
Ulrika Marking is a scholar working on Infectious Diseases, Modeling and Simulation, Clinical Psychology, Pulmonary and Respiratory Medicine and Surgery, having authored 10 papers that have together received 96 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (7 papers), COVID-19 Clinical Research Studies (4 papers), COVID-19 epidemiological studies (3 papers), SARS-CoV-2 detection and testing (3 papers), Infection Control and Ventilation (2 papers), COVID-19 and Mental Health (2 papers), Long-Term Effects of COVID-19 (1 paper) and Animal Virus Infections Studies (1 paper). The work is most often cited by research in Infectious Diseases (79 citations), Modeling and Simulation (7 citations), Health (11 citations), Microbiology (7 citations) and Animal Science and Zoology (11 citations). Ulrika Marking has collaborated with scholars based in Sweden, Netherlands and Switzerland. Frequent co-authors include Sebastian Havervall, Jonas Klingström, Charlotte Thålin, Kim Blom, Nina Greilert‐Norin, Mikael Åberg, Sophia Hober, Mia Phillipson, Henry Ng and Max Gordon. Their work appears in journals such as EBioMedicine, The Lancet Regional Health - Europe, Nature Communications, Frontiers in Immunology and PLoS neglected tropical diseases.
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.