Danielle Eddy
Impact in
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
-
- SARS-CoV-2 and COVID-19 Research 2
- COVID-19 Clinical Research Studies 1
-
- Diabetes Management and Education 1
- Pituitary Gland Disorders and Treatments 1
- Co-authors
- Adrian Matthew Shields (2 shared papers)Sharon J. Peacock (2 shared papers)Nathan Post (2 shared papers)John F. Maher (2 shared papers)Sharif Ismail (2 shared papers)Catherine Huntley (2 shared papers)Gayatri Amirthalingam (2 shared papers)David Leeman (2 shared papers)
- Journals
- PLoS ONE (2 papers)Clinical Infectious Diseases (1 paper)Public Health (1 paper)Journal of Pediatric Nursing (1 paper)Journal of Pediatric Endocrinology and Metabolism (1 paper)
- Partner nations
- United KingdomFrance
In The Last Decade
Danielle Eddy
5 papers receiving 900 citations
Danielle Eddy's Hit Papers
Peers
Comparison fields: 5 of 74
- Infectious Diseases 687
- Modeling and Simulation 81
- Health 24
- Endocrinology, Diabetes and Metabolism 40
- General Dentistry 1
Countries citing papers authored by Danielle Eddy
This map shows the geographic impact of Danielle Eddy'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 Danielle Eddy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle Eddy more than expected).
Fields of papers citing papers by Danielle Eddy
This network shows the impact of papers produced by Danielle Eddy. 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 Danielle Eddy. The network helps show where Danielle Eddy may publish in the future.
Co-authors
The 25 scholars most cited alongside Danielle Eddy, 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 | 298 | |
| 2 | T cell response to SARS-CoV-2 infection in humans: A systematic review Hit paper breakdown → | 2021 | 298 |
| 3 | 2020 | 272 | |
| 4 | 2014 | 54 | |
| 5 | 2011 | 1 | |
| 6 | 2026 | 0 |
About Danielle Eddy
Danielle Eddy is a scholar working on Infectious Diseases, Endocrinology, Diabetes and Metabolism, Endocrine and Autonomic Systems, Health and General Health Professions, having authored 6 papers that have together received 923 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (2 papers), Regulation of Appetite and Obesity (1 paper), COVID-19 Clinical Research Studies (1 paper), Influenza Virus Research Studies (1 paper), Vaccine Coverage and Hesitancy (1 paper), Public Health Policies and Education (1 paper), Diabetes Management and Education (1 paper) and Pituitary Gland Disorders and Treatments (1 paper). The work is most often cited by research in Infectious Diseases (687 citations), Modeling and Simulation (81 citations), Health (24 citations), Endocrinology, Diabetes and Metabolism (40 citations) and General Dentistry (1 citation). Danielle Eddy has collaborated with scholars based in United Kingdom and France. Frequent co-authors include Adrian Matthew Shields, Sharon J. Peacock, Nathan Post, John F. Maher, Sharif Ismail, Catherine Huntley, Gayatri Amirthalingam, David Leeman, Madhumita Shrotri and William Hywel Bermingham. Their work appears in journals such as PLoS ONE, Clinical Infectious Diseases, Public Health, Journal of Pediatric Nursing and Journal of Pediatric Endocrinology and Metabolism.
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.