Anna Daunt
Impact in
- Infectious Diseases top 10%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
-
- COVID-19 Clinical Research Studies 4
- SARS-CoV-2 and COVID-19 Research 1
-
- IL-33, ST2, and ILC Pathways 1
- Co-authors
- Graham Cooke (4 shared papers)R. Judge (3 shared papers)Roberta Forlano (3 shared papers)Peter Crook (3 shared papers)Paul Middleton (4 shared papers)Pablo N. Perez‐Guzman (3 shared papers)Shevanthi Nayagam (3 shared papers)Sujit Mukherjee (4 shared papers)
- Journals
- Journal of the Royal Society of Medicine (1 paper)Scientific Reports (1 paper)Clinical Infectious Diseases (1 paper)Toxicology Letters (1 paper)The Lancet Regional Health - Europe (1 paper)
- Partner nations
- United KingdomIrelandPortugal
In The Last Decade
Anna Daunt
8 papers receiving 226 citations
Peers
Comparison fields: 5 of 57
- Infectious Diseases 157
- Modeling and Simulation 27
- Neurology 40
- Epidemiology 59
- Hepatology 13
Countries citing papers authored by Anna Daunt
This map shows the geographic impact of Anna Daunt'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 Anna Daunt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Daunt more than expected).
Fields of papers citing papers by Anna Daunt
This network shows the impact of papers produced by Anna Daunt. 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 Anna Daunt. The network helps show where Anna Daunt may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Daunt, 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 | 63 | |
| 2 | 2020 | 60 | |
| 3 | 2020 | 51 | |
| 4 | 1987 | 23 | |
| 5 | 2020 | 13 | |
| 6 | 2021 | 10 | |
| 7 | Mental health workshops delivered by medical students in Cambridge secondary schools: an evaluation of learning. | 2013 | 6 |
| 8 | 2023 | 5 | |
| 9 | 2024 | 0 | |
| 10 | 2025 | 0 |
About Anna Daunt
Anna Daunt is a scholar working on Infectious Diseases, Immunology, Surgery, Social Psychology and Neurology, having authored 10 papers that have together received 231 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (4 papers), Pharmaceutical Practices and Patient Outcomes (1 paper), COVID-19 diagnosis using AI (1 paper), Long-Term Effects of COVID-19 (1 paper), IL-33, ST2, and ILC Pathways (1 paper), Pancreatitis Pathology and Treatment (1 paper), Opioid Use Disorder Treatment (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). The work is most often cited by research in Infectious Diseases (157 citations), Modeling and Simulation (27 citations), Neurology (40 citations), Epidemiology (59 citations) and Hepatology (13 citations). Anna Daunt has collaborated with scholars based in United Kingdom, Ireland and Portugal. Frequent co-authors include Graham Cooke, R. Judge, Roberta Forlano, Peter Crook, Paul Middleton, Pablo N. Perez‐Guzman, Shevanthi Nayagam, Sujit Mukherjee, Mark Thursz and Nigel Cox. Their work appears in journals such as Journal of the Royal Society of Medicine, Scientific Reports, Clinical Infectious Diseases, Toxicology Letters and The Lancet Regional Health - Europe.
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.