Nicholas G. Davies
- Infectious Diseases top 2%
- Modeling and Simulation top 0.5%
- Molecular Biology
- Epidemiology
- Clinical Psychology top 10%
- Co-authors
- Christopher I JarvisNicholas P. JewellW. John EdmundsKarla Díaz-OrdazRuth H. KeoghRosalind M. EggoJasmina Panovska‐GriffithsArchana Koirala
- Topics
- Plant and animal studies (5 papers)COVID-19 epidemiological studies (4 papers)Evolutionary Game Theory and Cooperation (4 papers)
- Partner nations
- United KingdomAustraliaNetherlands
In The Last Decade
Nicholas G. Davies
22 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Infectious Diseases 881
- Modeling and Simulation 351
- Molecular Biology 336
- Epidemiology 195
- Clinical Psychology 187
Countries citing papers authored by Nicholas G. Davies
This map shows the geographic impact of Nicholas G. Davies'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 Nicholas G. Davies with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicholas G. Davies more than expected).
Fields of papers citing papers by Nicholas G. Davies
This network shows the impact of papers produced by Nicholas G. Davies. 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 Nicholas G. Davies. The network helps show where Nicholas G. Davies may publish in the future.
Co-authorship network of co-authors of Nicholas G. Davies
This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas G. Davies. A scholar is included among the top collaborators of Nicholas G. Davies 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 Nicholas G. Davies. Nicholas G. Davies 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 | 2 | |
| 3 | 3 | |
| 4 | 18 | |
| 5 | Increased mortality in community-tested cases of SARS-CoV-2 lineage B.1.1.7breakdown → | 557 |
| 6 | Susceptibility to SARS-CoV-2 Infection Among Children and Adolescents Compared With Adultsbreakdown → | 517 |
| 7 | 46 | |
| 8 | 57 | |
| 9 | 62 | |
| 10 | 6 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 15 | |
| 14 | 46 | |
| 15 | 1 | |
| 16 | How to design an infrastructure strategy for the UK | 1 |
| 17 | 2 | |
| 18 | 12 | |
| 19 | 1 | |
| 20 | 210 |
About Nicholas G. Davies
Nicholas G. Davies is a scholar working on Applied Microbiology and Biotechnology, Modeling and Simulation and Ecology, Evolution, Behavior and Systematics, having authored 22 papers that have together received 1.6k indexed citations. Recurring topics across this work include Plant and animal studies (5 papers), COVID-19 epidemiological studies (4 papers) and Evolutionary Game Theory and Cooperation (4 papers). The work is most often cited by research in Modeling and Simulation (351 citations), Infectious Diseases (881 citations) and Applied Microbiology and Biotechnology (34 citations). Nicholas G. Davies has collaborated with scholars based in United Kingdom, Australia and Netherlands. Frequent co-authors include Christopher I Jarvis, Nicholas P. Jewell, W. John Edmunds, Karla Díaz-Ordaz, Ruth H. Keogh, Rosalind M. Eggo, Jasmina Panovska‐Griffiths, Archana Koirala, Simon Russell and Lee Hudson. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Ecology Letters.
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.