Allison Black
Impact in
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- SARS-CoV-2 and COVID-19 Research
- Viral Infections and Vectors
- Viral gastroenteritis research and epidemiology
- SARS-CoV-2 detection and testing
Papers in
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- SARS-CoV-2 detection and testing 5
- SARS-CoV-2 and COVID-19 Research 4
- Viral Infections and Vectors 3
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- Virology and Viral Diseases 3
- Co-authors
- Trevor Bedford (9 shared papers)Thomas R. Sibley (2 shared papers)Duncan MacCannell (1 shared paper)Gael Kurath (3 shared papers)Rachel Breyta (3 shared papers)John Huddleston (3 shared papers)Khrystyna North (1 shared paper)Naomi Boxall (1 shared paper)
- Journals
- Virus Evolution (2 papers)BMC Public Health (2 papers)Emerging infectious diseases (2 papers)Infection Genetics and Evolution (1 paper)Nature Medicine (1 paper)
- Partner nations
- United StatesUnited KingdomSouth Africa
In The Last Decade
Allison Black
19 papers receiving 206 citations
Peers
Comparison fields: 5 of 50
- Infectious Diseases 96
- Endocrinology 21
- Modeling and Simulation 9
- Immunology 38
- Animal Science and Zoology 18
Countries citing papers authored by Allison Black
This map shows the geographic impact of Allison Black'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 Allison Black with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Allison Black more than expected).
Fields of papers citing papers by Allison Black
This network shows the impact of papers produced by Allison Black. 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 Allison Black. The network helps show where Allison Black may publish in the future.
Co-authors
The 25 scholars most cited alongside Allison Black, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 66 | |
| 2 | 2020 | 23 | |
| 3 | 2013 | 18 | |
| 4 | 2016 | 15 | |
| 5 | 2021 | 14 | |
| 6 | 2016 | 13 | |
| 7 | 2015 | 12 | |
| 8 | 2019 | 9 | |
| 9 | 2022 | 9 | |
| 10 | 2023 | 5 | |
| 11 | 2025 | 4 | |
| 12 | 2022 | 4 | |
| 13 | 2023 | 4 | |
| 14 | 2021 | 4 | |
| 15 | 2023 | 3 | |
| 16 | 2022 | 2 | |
| 17 | 2024 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2025 | 1 | |
| 20 | SMM4H Shared Task 2020 - A Hybrid Pipeline for Identifying Prescription Drug Abuse from Twitter: Machine Learning, Deep Learning, and Post-Processing | 2020 | 1 |
About Allison Black
Allison Black is a scholar working on Infectious Diseases, Epidemiology, Public Health, Environmental and Occupational Health, Molecular Biology and Animal Science and Zoology, having authored 21 papers that have together received 209 indexed citations. Recurring topics across this work include SARS-CoV-2 detection and testing (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Animal Virus Infections Studies (3 papers), Genomics and Phylogenetic Studies (3 papers), Aquaculture disease management and microbiota (3 papers), Virology and Viral Diseases (3 papers), Viral Infections and Vectors (3 papers) and Mosquito-borne diseases and control (3 papers). The work is most often cited by research in Infectious Diseases (96 citations), Endocrinology (21 citations), Modeling and Simulation (9 citations), Immunology (38 citations) and Animal Science and Zoology (18 citations). Allison Black has collaborated with scholars based in United States, United Kingdom and South Africa. Frequent co-authors include Trevor Bedford, Thomas R. Sibley, Duncan MacCannell, Gael Kurath, Rachel Breyta, John Huddleston, Khrystyna North, Naomi Boxall, Arnaud Le Menach and Miland Palmer. Their work appears in journals such as Virus Evolution, BMC Public Health, Emerging infectious diseases, Infection Genetics and Evolution and Nature Medicine.
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.