Rosalind M. Eggo
- Modeling and Simulation top 0.1%
- Infectious Diseases top 1%
- Epidemiology top 5%
- Public Health, Environmental and Occupational Health top 5%
- Economics and Econometrics top 2%
- Co-authors
- W. John EdmundsAdam J. KucharskiSebastian FunkStefan FlascheAnton CamachoKevin van ZandvoortBilly J. QuiltyChrissy h. Roberts
- Topics
- COVID-19 epidemiological studies (53 papers)Influenza Virus Research Studies (20 papers)Viral Infections and Outbreaks Research (17 papers)
- Journals
- Proceedings of the National Academy of SciencesThe LancetSHILAP Revista de lepidopterología
- Partner nations
- United KingdomUnited StatesSouth Africa
In The Last Decade
Rosalind M. Eggo
82 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- Modeling and Simulation 1.6k
- Infectious Diseases 1.5k
- Epidemiology 766
- Public Health, Environmental and Occupational Health 577
- Economics and Econometrics 400
Countries citing papers authored by Rosalind M. Eggo
This map shows the geographic impact of Rosalind M. Eggo'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 Rosalind M. Eggo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rosalind M. Eggo more than expected).
Fields of papers citing papers by Rosalind M. Eggo
This network shows the impact of papers produced by Rosalind M. Eggo. 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 Rosalind M. Eggo. The network helps show where Rosalind M. Eggo may publish in the future.
Co-authorship network of co-authors of Rosalind M. Eggo
This figure shows the co-authorship network connecting the top 25 collaborators of Rosalind M. Eggo. A scholar is included among the top collaborators of Rosalind M. Eggo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rosalind M. Eggo. Rosalind M. Eggo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 9 | |
| 3 | 0 | |
| 4 | 8 | |
| 5 | 36 | |
| 6 | 3 | |
| 7 | 18 | |
| 8 | 2 | |
| 9 | 5 | |
| 10 | 122 | |
| 11 | 12 | |
| 12 | 25 | |
| 13 | 34 | |
| 14 | 15 | |
| 15 | 8 | |
| 16 | Effects of non-pharmaceutical interventions on COVID-19 cases, deaths, and demand for hospital services in the UK: a modelling study | 1 |
| 17 | 40 | |
| 18 | 88 | |
| 19 | 10 | |
| 20 | 18 |
About Rosalind M. Eggo
Rosalind M. Eggo is a scholar working on Modeling and Simulation, Health and Infectious Diseases, having authored 83 papers that have together received 3.2k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (53 papers), Influenza Virus Research Studies (20 papers) and Viral Infections and Outbreaks Research (17 papers). The work is most often cited by research in Modeling and Simulation (1.6k citations), Infectious Diseases (1.5k citations) and Health (386 citations). Rosalind M. Eggo has collaborated with scholars based in United Kingdom, United States and South Africa. Frequent co-authors include W. John Edmunds, Adam J. Kucharski, Sebastian Funk, Stefan Flasche, Anton Camacho, Kevin van Zandvoort, Billy J. Quilty, Chrissy h. Roberts, Nicholas G. Davies and Naomi R. Waterlow. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet and SHILAP Revista de lepidopterología.
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.