Ewa King
Impact in
- Toxicology top 5%
- Forensic Toxicology and Drug Analysis
- Modeling and Simulation top 5%
Papers in
-
- SARS-CoV-2 and COVID-19 Research 9
- SARS-CoV-2 detection and testing 6
-
- Animal Disease Management and Epidemiology 6
- Co-authors
- Gregory A. Dekaban (7 shared papers)Matthew Lozier (1 shared paper)Lauren S. Lewis (1 shared paper)Christina R. Stanley (1 shared paper)Molly Boyd (1 shared paper)Colleen A. Martin (1 shared paper)J. Arp (6 shared papers)George P. Rice (4 shared papers)
- Journals
- Public Health Reports (2 papers)Journal of Virology (2 papers)Journal of Medical Virology (2 papers)Journal of General Virology (1 paper)AIDS Research and Human Retroviruses (1 paper)
- Partner nations
- United StatesCanadaBelgium
In The Last Decade
Ewa King
28 papers receiving 679 citations
Ewa King's Hit Papers
Peers
Comparison fields: 5 of 99
- Toxicology 72
- Modeling and Simulation 55
- Infectious Diseases 211
- Agronomy and Crop Science 85
- Immunology 108
Countries citing papers authored by Ewa King
This map shows the geographic impact of Ewa King'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 Ewa King with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ewa King more than expected).
Fields of papers citing papers by Ewa King
This network shows the impact of papers produced by Ewa King. 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 Ewa King. The network helps show where Ewa King may publish in the future.
Co-authors
The 25 scholars most cited alongside Ewa King, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Multiplexed CRISPR-based microfluidic platform for clinical testing of respiratory viruses and identification of SARS-CoV-2 variants Hit paper breakdown → | 2022 | 236 |
| 2 | 2022 | 123 | |
| 3 | 2015 | 114 | |
| 4 | 2020 | 37 | |
| 5 | 1995 | 27 | |
| 6 | 1992 | 25 | |
| 7 | Mercury, lead, and cadmium in umbilical cord blood. | 2013 | 23 |
| 8 | 1993 | 18 | |
| 9 | 1992 | 16 | |
| 10 | 1996 | 14 | |
| 11 | 1994 | 13 | |
| 12 | 2021 | 12 | |
| 13 | 2021 | 8 | |
| 14 | 1994 | 8 | |
| 15 | 2024 | 7 | |
| 16 | 2016 | 5 | |
| 17 | SARS-CoV-2 Variants in Rhode Island. | 2021 | 4 |
| 18 | 2015 | 4 | |
| 19 | 2021 | 4 | |
| 20 | 2022 | 4 |
About Ewa King
Ewa King is a scholar working on Infectious Diseases, Agronomy and Crop Science, Immunology, Ecology, Evolution, Behavior and Systematics and Public Health, Environmental and Occupational Health, having authored 29 papers that have together received 721 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (9 papers), T-cell and Retrovirus Studies (7 papers), Animal Disease Management and Epidemiology (6 papers), SARS-CoV-2 detection and testing (6 papers), Vector-Borne Animal Diseases (4 papers), Opioid Use Disorder Treatment (3 papers), CRISPR and Genetic Engineering (2 papers) and Poisoning and overdose treatments (2 papers). The work is most often cited by research in Toxicology (72 citations), Modeling and Simulation (55 citations), Infectious Diseases (211 citations), Agronomy and Crop Science (85 citations) and Immunology (108 citations). Ewa King has collaborated with scholars based in United States, Canada and Belgium. Frequent co-authors include Gregory A. Dekaban, Matthew Lozier, Lauren S. Lewis, Christina R. Stanley, Molly Boyd, Colleen A. Martin, J. Arp, George P. Rice, Thomas J. Palker and David J. Waters. Their work appears in journals such as Public Health Reports, Journal of Virology, Journal of Medical Virology, Journal of General Virology and AIDS Research and Human Retroviruses.
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.