Misja Ilcisin
Impact in
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- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
- Viral gastroenteritis research and epidemiology
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
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- SARS-CoV-2 and COVID-19 Research 1
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- Genomics and Phylogenetic Studies 1
- Co-authors
- Katherine Saxton (1 shared paper)Trevor Bedford (3 shared papers)Richard A. Neher (2 shared papers)James Hadfield (2 shared papers)Emma B. Hodcroft (2 shared papers)Jover Lee (2 shared papers)John Huddleston (1 shared paper)Elias Harkins (1 shared paper)
- Journals
- JMIR Public Health and Surveillance (1 paper)PLoS ONE (1 paper)International Journal for Equity in Health (1 paper)ResearchWorks at the University of Washington (University of Washington) (1 paper)The Journal of Open Source Software (1 paper)
- Partner nations
- United StatesSwitzerland
In The Last Decade
Misja Ilcisin
4 papers receiving 185 citations
Peers
Comparison fields: 5 of 55
- Infectious Diseases 86
- Modeling and Simulation 21
- Social Psychology 37
- Health 15
- Pharmacy 7
Countries citing papers authored by Misja Ilcisin
This map shows the geographic impact of Misja Ilcisin'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 Misja Ilcisin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Misja Ilcisin more than expected).
Fields of papers citing papers by Misja Ilcisin
This network shows the impact of papers produced by Misja Ilcisin. 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 Misja Ilcisin. The network helps show where Misja Ilcisin may publish in the future.
Co-authors
The 25 scholars most cited alongside Misja Ilcisin, 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 | 108 | |
| 2 | 2017 | 65 | |
| 3 | 2021 | 9 | |
| 4 | Genomic analysis of nCoV spread. Situation report 2020-01-23. | 2020 | 7 |
| 5 | 2024 | 0 |
About Misja Ilcisin
Misja Ilcisin is a scholar working on Infectious Diseases, Molecular Biology, General Health Professions, Clinical Psychology and Sociology and Political Science, having authored 5 papers that have together received 189 indexed citations. Recurring topics across this work include Obesity and Health Practices (1 paper), Animal Disease Management and Epidemiology (1 paper), Animal Virus Infections Studies (1 paper), Racial and Ethnic Identity Research (1 paper), Genomics and Phylogenetic Studies (1 paper), Bacteriophages and microbial interactions (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper) and Workplace Health and Well-being (1 paper). The work is most often cited by research in Infectious Diseases (86 citations), Modeling and Simulation (21 citations), Social Psychology (37 citations), Health (15 citations) and Pharmacy (7 citations). Misja Ilcisin has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Katherine Saxton, Trevor Bedford, Richard A. Neher, James Hadfield, Emma B. Hodcroft, Jover Lee, John Huddleston, Elias Harkins, Thomas R. Sibley and Kairsten Fay. Their work appears in journals such as JMIR Public Health and Surveillance, PLoS ONE, International Journal for Equity in Health, ResearchWorks at the University of Washington (University of Washington) and The Journal of Open Source Software.
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.