Ashley E. Kim
Impact in
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- SARS-CoV-2 detection and testing
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
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- COVID-19 epidemiological studies
Papers in
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- Respiratory viral infections research 3
- Influenza Virus Research Studies 2
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- SARS-CoV-2 detection and testing 2
- Co-authors
- Helen Y. Chu (5 shared papers)Janet A. Englund (4 shared papers)Denise J. McCulloch (2 shared papers)Jennifer K. Logue (2 shared papers)Naomi Wilcox (2 shared papers)Alexander L. Greninger (1 shared paper)Elisabeth Brandstetter (4 shared papers)Michael Boeckh (2 shared papers)
- Journals
- JMIR Public Health and Surveillance (1 paper)JAMA Network Open (1 paper)Influenza and Other Respiratory Viruses (1 paper)Open Forum Infectious Diseases (1 paper)Journal of Clinical Microbiology (1 paper)
- Partner nations
- United States
In The Last Decade
Ashley E. Kim
5 papers receiving 88 citations
Peers
Comparison fields: 5 of 29
- Infectious Diseases 71
- Modeling and Simulation 10
- Epidemiology 27
- Radiology, Nuclear Medicine and Imaging 16
- Biomedical Engineering 27
Countries citing papers authored by Ashley E. Kim
This map shows the geographic impact of Ashley E. Kim'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 Ashley E. Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashley E. Kim more than expected).
Fields of papers citing papers by Ashley E. Kim
This network shows the impact of papers produced by Ashley E. Kim. 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 Ashley E. Kim. The network helps show where Ashley E. Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Ashley E. Kim, 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 | 2020 | 65 | |
| 2 | 2021 | 10 | |
| 3 | 2021 | 9 | |
| 4 | 2019 | 6 | |
| 5 | 2021 | 1 |
About Ashley E. Kim
Ashley E. Kim is a scholar working on Epidemiology, Infectious Diseases, General Dentistry, General Health Professions and Agronomy and Crop Science, having authored 5 papers that have together received 91 indexed citations. Recurring topics across this work include Respiratory viral infections research (3 papers), Influenza Virus Research Studies (2 papers), SARS-CoV-2 detection and testing (2 papers), COVID-19 epidemiological studies (1 paper), COVID-19 diagnosis using AI (1 paper), Animal Disease Management and Epidemiology (1 paper), Homelessness and Social Issues (1 paper) and Dental Research and COVID-19 (1 paper). The work is most often cited by research in Infectious Diseases (71 citations), Modeling and Simulation (10 citations), Epidemiology (27 citations), Radiology, Nuclear Medicine and Imaging (16 citations) and Biomedical Engineering (27 citations). Ashley E. Kim has collaborated with scholars based in United States. Frequent co-authors include Helen Y. Chu, Janet A. Englund, Denise J. McCulloch, Jennifer K. Logue, Naomi Wilcox, Alexander L. Greninger, Elisabeth Brandstetter, Michael Boeckh, Trevor Bedford and Matthew Thompson. Their work appears in journals such as JMIR Public Health and Surveillance, JAMA Network Open, Influenza and Other Respiratory Viruses, Open Forum Infectious Diseases and Journal of Clinical Microbiology.
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.