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
-
- COVID-19 Clinical Research Studies 3
- SARS-CoV-2 and COVID-19 Research 3
- SARS-CoV-2 detection and testing 1
-
- Long-Term Effects of COVID-19 1
- Co-authors
- William Bermingham (4 shared papers)Sharon J. Peacock (4 shared papers)May CI van Schalkwyk (4 shared papers)Samuel Rigby (4 shared papers)Sarah Williams (4 shared papers)Madhumita Shrotri (4 shared papers)Sharif Ismail (4 shared papers)Gayatri Amirthalingam (4 shared papers)
- Journals
- PLoS ONE (2 papers)Clinical Infectious Diseases (1 paper)Journal of Pediatric Nursing (1 paper)medRxiv (2 papers)SSRN Electronic Journal (1 paper)
- Partner nations
- United KingdomSingapore
In The Last Decade
Danielle Eddy
7 papers receiving 900 citations
Danielle Eddy's Hit Papers
Peers
Comparison fields: 5 of 82
- Infectious Diseases 547
- Modeling and Simulation 70
- Obstetrics and Gynecology 81
- Health 49
- Neurology 81
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 | SARS-CoV-2 (COVID-19): What Do We Know About Children? A Systematic Review Hit paper breakdown → | 2020 | 259 |
| 2 | T cell response to SARS-CoV-2 infection in humans: A systematic review Hit paper breakdown → | 2021 | 259 |
| 3 | 2020 | 234 | |
| 4 | 2020 | 79 | |
| 5 | 2014 | 51 | |
| 6 | 2020 | 31 | |
| 7 | 2020 | 4 |
About Danielle Eddy
Danielle Eddy is a scholar working on Infectious Diseases, Neurology, Speech and Hearing, Epidemiology and Obstetrics and Gynecology, having authored 7 papers that have together received 917 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Diabetes Management and Research (1 paper), Long-Term Effects of COVID-19 (1 paper), Adolescent and Pediatric Healthcare (1 paper), SARS-CoV-2 detection and testing (1 paper), Diabetes and associated disorders (1 paper) and COVID-19 Impact on Reproduction (1 paper). The work is most often cited by research in Infectious Diseases (547 citations), Modeling and Simulation (70 citations), Obstetrics and Gynecology (81 citations), Health (49 citations) and Neurology (81 citations). Danielle Eddy has collaborated with scholars based in United Kingdom and Singapore. Frequent co-authors include William Bermingham, Sharon J. Peacock, May CI van Schalkwyk, Samuel Rigby, Sarah Williams, Madhumita Shrotri, Sharif Ismail, Gayatri Amirthalingam, John Maher and Paul Kellam. Their work appears in journals such as PLoS ONE, Clinical Infectious Diseases, Journal of Pediatric Nursing, medRxiv and SSRN Electronic Journal.
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.