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 2%
- COVID-19 epidemiological studies
Papers in ⓘ
-
- COVID-19 Clinical Research Studies 6
- SARS-CoV-2 and COVID-19 Research 5
- SARS-CoV-2 detection and testing 2
-
- Adolescent and Pediatric Healthcare 1
- Co-authors
- Sarah Williams (4 shared papers)John Maher (4 shared papers)William Bermingham (4 shared papers)Gayatri Amirthalingam (4 shared papers)Sharif Ismail (4 shared papers)Sharon J. Peacock (4 shared papers)Nathan Post (4 shared papers)Adrian Shields (4 shared papers)
- Journals
- PLoS ONE (2 papers)Clinical Infectious Diseases (1 paper)Journal of Pediatric Nursing (1 paper)SSRN Electronic Journal (1 paper)medRxiv (2 papers)
- Partner nations
- United Kingdom
In The Last Decade
Danielle Eddy
7 papers receiving 887 citations
Hit Papers
Peers
Comparison fields: 5 of 85
- Infectious Diseases 689
- Modeling and Simulation 114
- Obstetrics and Gynecology 100
- Neurology 130
- Health 72
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 | T cell response to SARS-CoV-2 infection in humans: A systematic review Hit paper breakdown → | 2021 | 255 |
| 2 | 2020 | 254 | |
| 3 | 2020 | 230 | |
| 4 | 2020 | 79 | |
| 5 | 2014 | 51 | |
| 6 | 2020 | 31 | |
| 7 | 2020 | 4 |
About Danielle Eddy
Danielle Eddy is a scholar working on Infectious Diseases, Speech and Hearing, Neurology, Obstetrics and Gynecology and Endocrinology, Diabetes and Metabolism, having authored 7 papers that have together received 904 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Long-Term Effects of COVID-19 (2 papers), SARS-CoV-2 detection and testing (2 papers), Respiratory viral infections research (2 papers), Adolescent and Pediatric Healthcare (1 paper), Diabetes Management and Research (1 paper) and Diabetes and associated disorders (1 paper). The work is most often cited by research in Infectious Diseases (689 citations), Modeling and Simulation (114 citations), Obstetrics and Gynecology (100 citations), Neurology (130 citations) and Health (72 citations). Danielle Eddy has collaborated with scholars based in United Kingdom. Frequent co-authors include Sarah Williams, John Maher, William Bermingham, Gayatri Amirthalingam, Sharif Ismail, Sharon J. Peacock, Nathan Post, Adrian Shields, Paul Kellam and Catherine Huntley. Their work appears in journals such as PLoS ONE, Clinical Infectious Diseases, Journal of Pediatric Nursing, SSRN Electronic Journal and medRxiv.
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.