Amy Thomas
Impact in
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
-
- Microbial infections and disease research
Papers in
-
- SARS-CoV-2 and COVID-19 Research 2
- Tuberculosis Research and Epidemiology 1
-
- Influenza Virus Research Studies 2
- Co-authors
- Adam Finn (5 shared papers)Ellen Brooks‐Pollock (8 shared papers)Emily Nixon (4 shared papers)Katy Turner (2 shared papers)Caroline L. Relton (2 shared papers)Gibran Hemani (2 shared papers)Adam Trickey (3 shared papers)Hannah Christensen (4 shared papers)
- Journals
- Zoonoses and Public Health (2 papers)Scientific Reports (2 papers)Nature Communications (1 paper)Big Data and Cognitive Computing (1 paper)BMC Medicine (1 paper)
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
Amy Thomas
17 papers receiving 126 citations
Peers
Comparison fields: 5 of 56
- Modeling and Simulation 35
- Microbiology 22
- Infectious Diseases 29
- Agronomy and Crop Science 13
- Clinical Psychology 20
Countries citing papers authored by Amy Thomas
This map shows the geographic impact of Amy Thomas'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 Thomas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amy Thomas more than expected).
Fields of papers citing papers by Amy Thomas
This network shows the impact of papers produced by Amy Thomas. 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 Thomas. The network helps show where Amy Thomas may publish in the future.
Co-authors
The 25 scholars most cited alongside Amy Thomas, 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 | 2021 | 41 | |
| 2 | 2019 | 21 | |
| 3 | 2021 | 19 | |
| 4 | 2021 | 19 | |
| 5 | Cyclophosphamide-sensitive and cyclophosphamide-resistant suppressor cells in the immune response to alloantigens. | 1979 | 6 |
| 6 | 2012 | 5 | |
| 7 | 2022 | 3 | |
| 8 | 2019 | 3 | |
| 9 | 2023 | 3 | |
| 10 | 2024 | 1 | |
| 11 | 2023 | 1 | |
| 12 | 2023 | 1 | |
| 13 | 2024 | 1 | |
| 14 | 2024 | 1 | |
| 15 | Les mycoplasmes respiratoires des bovins : II. Propriétés de virulence et vaccination | 1998 | 1 |
| 16 | 2025 | 1 | |
| 17 | 2025 | 1 | |
| 18 | 2025 | 0 | |
| 19 | 2026 | 0 |
About Amy Thomas
Amy Thomas is a scholar working on Infectious Diseases, Epidemiology, Microbiology, Modeling and Simulation and Clinical Psychology, having authored 19 papers that have together received 128 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (3 papers), Microbial infections and disease research (2 papers), Influenza Virus Research Studies (2 papers), COVID-19 and Mental Health (2 papers), Immune Cell Function and Interaction (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Tuberculosis Research and Epidemiology (1 paper) and Streptococcal Infections and Treatments (1 paper). The work is most often cited by research in Modeling and Simulation (35 citations), Microbiology (22 citations), Infectious Diseases (29 citations), Agronomy and Crop Science (13 citations) and Clinical Psychology (20 citations). Amy Thomas has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Adam Finn, Ellen Brooks‐Pollock, Emily Nixon, Katy Turner, Caroline L. Relton, Gibran Hemani, Adam Trickey, Hannah Christensen, León Danon and Matthew Hickman. Their work appears in journals such as Zoonoses and Public Health, Scientific Reports, Nature Communications, Big Data and Cognitive Computing and BMC 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.