Dionna Scharton
- Infectious Diseases top 2%
- Viral Infections and Vectors 8
- Viral Infections and Outbreaks Research 6
- SARS-CoV-2 and COVID-19 Research 5
- SARS-CoV-2 detection and testing 2
- Animal Science and Zoology top 10%
- Modeling and Simulation top 10%
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- CRISPR and Genetic Engineering 2
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- Mosquito-borne diseases and control 5
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- Plant Virus Research Studies 2
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- Vector-Borne Animal Diseases 2
- Co-authors
- Kenneth S. PlanteJessica A. PlanteScott C. WeaverVineet D. MenacheryCraig SchindewolfPei‐Yong ShiXuping XieSteven G. Widen
- Journals
- Nature (1 paper)Proceedings of the National Academy of Sciences (1 paper)Nature Communications (2 papers)
- Partner nations
- United StatesBrazilCameroon
In The Last Decade
Dionna Scharton
14 papers receiving 625 citations
Hit Papers
Peers
Comparison fields: 5 of 52
- Infectious Diseases 569
- Animal Science and Zoology 81
- Modeling and Simulation 29
- Molecular Biology 177
- Immunology 53
Countries citing papers authored by Dionna Scharton
This map shows the geographic impact of Dionna Scharton'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 Dionna Scharton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dionna Scharton more than expected).
Fields of papers citing papers by Dionna Scharton
This network shows the impact of papers produced by Dionna Scharton. 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 Dionna Scharton. The network helps show where Dionna Scharton may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dionna Scharton, 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 | 4 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 3 | |
| 4 | 2023 | 23 | |
| 5 | 2023 | 8 | |
| 6 | 2022 | 86 | |
| 7 | 2022 | 6 | |
| 8 | 2022 | 16 | |
| 9 | The N501Y spike substitution enhances SARS-CoV-2 infection and transmissionbreakdown → | 2021 | 341 |
| 10 | 2015 | 20 | |
| 11 | 2015 | 9 | |
| 12 | 2014 | 83 | |
| 13 | 2014 | 9 | |
| 14 | 2013 | 21 |
About Dionna Scharton
Dionna Scharton is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health and Ecology, Evolution, Behavior and Systematics, having authored 14 papers that have together received 633 indexed citations. Recurring topics across this work include Viral Infections and Vectors (8 papers), Viral Infections and Outbreaks Research (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Mosquito-borne diseases and control (5 papers), CRISPR and Genetic Engineering (2 papers), Plant Virus Research Studies (2 papers), SARS-CoV-2 detection and testing (2 papers) and Vector-Borne Animal Diseases (2 papers). The work is most often cited by research in Infectious Diseases (569 citations), Animal Science and Zoology (81 citations) and Modeling and Simulation (29 citations). Dionna Scharton has collaborated with scholars based in United States, Brazil and Cameroon. Frequent co-authors include Kenneth S. Plante, Jessica A. Plante, Scott C. Weaver, Vineet D. Menachery, Craig Schindewolf, Pei‐Yong Shi, Xuping Xie, Steven G. Widen, Yang Liu and Zhiqiang An. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.
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.