Amy P. Callear
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Viral gastroenteritis research and epidemiology
- SARS-CoV-2 detection and testing
Papers in
- Epidemiology 11
- Respiratory viral infections research 10
- Influenza Virus Research Studies 4
-
- Viral Infections and Vectors 1
- SARS-CoV-2 detection and testing 1
- Co-authors
- Emily T. Martin (16 shared papers)Arnold S. Monto (15 shared papers)Ryan E. Malosh (9 shared papers)Joshua G. Petrie (9 shared papers)Latifa A. Bazzi (4 shared papers)Peter M. DeJonge (3 shared papers)Adam S. Lauring (7 shared papers)Alicia M. Fry (3 shared papers)
- Journals
- The Journal of Infectious Diseases (4 papers)Influenza and Other Respiratory Viruses (3 papers)Nature Communications (2 papers)Clinical Infectious Diseases (1 paper)Journal of Clinical Virology (1 paper)
- Partner nations
- United States
In The Last Decade
Amy P. Callear
16 papers receiving 334 citations
Peers
Comparison fields: 5 of 54
- Modeling and Simulation 36
- Infectious Diseases 117
- Epidemiology 125
- Genetics 35
- Pulmonary and Respiratory Medicine 34
Countries citing papers authored by Amy P. Callear
This map shows the geographic impact of Amy P. Callear'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 Amy P. Callear with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amy P. Callear more than expected).
Fields of papers citing papers by Amy P. Callear
This network shows the impact of papers produced by Amy P. Callear. 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 Amy P. Callear. The network helps show where Amy P. Callear may publish in the future.
Co-authors
The 25 scholars most cited alongside Amy P. Callear, 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 | 99 | |
| 2 | 2017 | 51 | |
| 3 | 2014 | 48 | |
| 4 | 2018 | 31 | |
| 5 | 2023 | 29 | |
| 6 | 2019 | 16 | |
| 7 | 2020 | 14 | |
| 8 | 2021 | 12 | |
| 9 | 2023 | 11 | |
| 10 | 2024 | 9 | |
| 11 | 2021 | 4 | |
| 12 | 2023 | 4 | |
| 13 | 2025 | 4 | |
| 14 | 2025 | 2 | |
| 15 | 2023 | 1 | |
| 16 | 2025 | 1 | |
| 17 | 2025 | 0 |
About Amy P. Callear
Amy P. Callear is a scholar working on Epidemiology, Infectious Diseases, Molecular Biology, Physiology and Genetics, having authored 17 papers that have together received 336 indexed citations. Recurring topics across this work include Respiratory viral infections research (10 papers), Influenza Virus Research Studies (4 papers), Bioinformatics and Genomic Networks (1 paper), Genomics and Rare Diseases (1 paper), Viral Infections and Vectors (1 paper), SARS-CoV-2 detection and testing (1 paper), Asthma and respiratory diseases (1 paper) and COVID-19 epidemiological studies (1 paper). The work is most often cited by research in Modeling and Simulation (36 citations), Infectious Diseases (117 citations), Epidemiology (125 citations), Genetics (35 citations) and Pulmonary and Respiratory Medicine (34 citations). Amy P. Callear has collaborated with scholars based in United States. Frequent co-authors include Emily T. Martin, Arnold S. Monto, Ryan E. Malosh, Joshua G. Petrie, Latifa A. Bazzi, Peter M. DeJonge, Adam S. Lauring, Alicia M. Fry, Brendan Flannery and Jill M. Ferdinands. Their work appears in journals such as The Journal of Infectious Diseases, Influenza and Other Respiratory Viruses, Nature Communications, Clinical Infectious Diseases and Journal of Clinical Virology.
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.