Helen E. Hughes
- Genetics top 1%
- Molecular Biology top 5%
- Epidemiology top 5%
- Infectious Diseases top 5%
- Modeling and Simulation top 1%
- Co-authors
- Trevor ColeSally DaviesAlex J. ElliotGillian SmithRoger MorbeyRaymond GaniJohn M. OpitzNazneen Rahman
- Topics
- Respiratory viral infections research (13 papers)Genetic Syndromes and Imprinting (11 papers)Data-Driven Disease Surveillance (10 papers)
- Partner nations
- United KingdomCanadaUnited States
In The Last Decade
Helen E. Hughes
101 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Genetics 1.3k
- Molecular Biology 1.3k
- Epidemiology 759
- Infectious Diseases 344
- Modeling and Simulation 311
Countries citing papers authored by Helen E. Hughes
This map shows the geographic impact of Helen E. Hughes'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 Helen E. Hughes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Helen E. Hughes more than expected).
Fields of papers citing papers by Helen E. Hughes
This network shows the impact of papers produced by Helen E. Hughes. 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 Helen E. Hughes. The network helps show where Helen E. Hughes may publish in the future.
Co-authorship network of co-authors of Helen E. Hughes
This figure shows the co-authorship network connecting the top 25 collaborators of Helen E. Hughes. A scholar is included among the top collaborators of Helen E. Hughes 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 Helen E. Hughes. Helen E. Hughes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 9 | |
| 7 | 3 | |
| 8 | Epidemiology of respiratory syncytial virus in children younger than 5 years in England during the COVID-19 pandemic, measured by laboratory, clinical, and syndromic surveillance: a retrospective observational studybreakdown → | 152 |
| 9 | 6 | |
| 10 | 5 | |
| 11 | 16 | |
| 12 | 22 | |
| 13 | 52 | |
| 14 | 48 | |
| 15 | 4 | |
| 16 | 11 | |
| 17 | 26 | |
| 18 | 34 | |
| 19 | 24 | |
| 20 | 27 |
About Helen E. Hughes
Helen E. Hughes is a scholar working on Developmental Biology, Genetics and Modeling and Simulation, having authored 105 papers that have together received 3.3k indexed citations. Recurring topics across this work include Respiratory viral infections research (13 papers), Genetic Syndromes and Imprinting (11 papers) and Data-Driven Disease Surveillance (10 papers). The work is most often cited by research in Modeling and Simulation (311 citations), Genetics (1.3k citations) and Developmental Biology (83 citations). Helen E. Hughes has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include Trevor Cole, Sally Davies, Alex J. Elliot, Gillian Smith, Roger Morbey, Raymond Gani, John M. Opitz, Nazneen Rahman, I. Karen Temple and Jenny Douglas. Their work appears in journals such as PLoS ONE, PEDIATRICS and The American Journal of Human Genetics.
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.