Sarah E. Ray

11 papers receiving 1.4k citations

Hit Papers

The current and future global distribution and population at risk of dengue 2019 · 753 citations
7532018202620202023250500750

Peers

Sarah E. Ray
Comparison fields: 5 of 114
  • Virology 202
  • Modeling and Simulation 168
  • Infectious Diseases 600
  • Public Health, Environmental and Occupational Health 879
  • Parasitology 103
Replace Joshua Longbottom with:
Joshua Longbottom United Kingdom
Jemma L. Geoghegan New Zealand
Liang Lu China
Grace Yap Singapore
Juan Miguel Pascale Panama
Kathleen O’Reilly United Kingdom
Agoritsa Baka Greece
Hapuarachchige Chanditha Hapuarachchi Singapore
Robert Verity United Kingdom
Yin Wenwu China
Sarah E. Ray relative to Joshua Longbottom United Kingdom Joshua Longbottom's profile →
Citations per field
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Joshua Longbottom · 1×
Citations per year

Countries citing papers authored by Sarah E. Ray

Since Specialization
Citations

This map shows the geographic impact of Sarah E. Ray'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 Sarah E. Ray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarah E. Ray more than expected).

Fields of papers citing papers by Sarah E. Ray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sarah E. Ray. 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 Sarah E. Ray. The network helps show where Sarah E. Ray may publish in the future.

Co-authors

The 25 scholars most cited alongside Sarah E. Ray, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sarah E. Ray Line = papers co-authored together Sarah E. Ray links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1
The current and future global distribution and population at risk of dengue
Hit paper breakdown →
2019753
2
Vulnerability to snakebite envenoming: a global mapping of hotspots
Hit paper breakdown →
2018253
3 201896
4 201990
5 201973
6 201865
7 202051
8 201826
9 201817
10 20244
11 20242
12 20250
13 20230

About Sarah E. Ray

Sarah E. Ray is a scholar working on Modeling and Simulation, Parasitology, Infectious Diseases, Ecological Modeling and Virology, having authored 13 papers that have together received 1.4k indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (5 papers), Zoonotic diseases and public health (2 papers), Global Maternal and Child Health (2 papers), COVID-19 epidemiological studies (2 papers), Virology and Viral Diseases (2 papers), Food Security and Health in Diverse Populations (1 paper), HIV/AIDS Research and Interventions (1 paper) and HIV/AIDS Impact and Responses (1 paper). The work is most often cited by research in Virology (202 citations), Modeling and Simulation (168 citations), Infectious Diseases (600 citations), Public Health, Environmental and Occupational Health (879 citations) and Parasitology (103 citations). Sarah E. Ray has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Simon I Hay, David M. Pigott, Freya M. Shearer, Robert C. Reiner, Oliver J. Brady, Nick Golding, Moritz U. G. Kraemer, Nicole Davis Weaver, Lucas Earl and Kimberly B. Johnson. Their work appears in journals such as BMC Medicine, PEDIATRICS, Scientific Reports, PLoS Medicine and The Lancet Global Health.

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.

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