Sarah E. Ray
Impact in
- Pharmacology top 0.2%
- Musculoskeletal pain and rehabilitation
- Psychiatry and Mental health top 1%
- Migraine and Headache Studies
Papers in
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- Insurance, Mortality, Demography, Risk Management 8
-
- Global Health and Epidemiology 5
- Co-authors
- Simon Iain Hay (9 shared papers)David M. Pigott (4 shared papers)Freya M. Shearer (3 shared papers)Robert C. Reiner (6 shared papers)Oliver J. Brady (4 shared papers)Moritz U. G. Kraemer (3 shared papers)Nick Golding (3 shared papers)Nicole Davis Weaver (2 shared papers)
- Journals
- The Lancet (11 papers)Nature (2 papers)Nature Microbiology (2 papers)The Lancet Infectious Diseases (2 papers)BMC Medicine (2 papers)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Sarah E. Ray
28 papers receiving 22k citations
Sarah E. Ray's Hit Papers
Peers
Comparison fields: 5 of 215
- Pharmacology 1.8k
- Psychiatry and Mental health 1.7k
- Periodontics 542
- Biological Psychiatry 110
- Parasitology 551
Countries citing papers authored by Sarah E. Ray
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
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.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Global, regional, and national incidence, prevalence, and years lived with disability for 328 diseases and injuries for 195 countries, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016 Hit paper breakdown → | 2017 | 10938 |
| 2 | Global, regional, and national age-sex specific mortality for 264 causes of death, 1980–2016: a systematic analysis for the Global Burden of Disease Study 2016 Hit paper breakdown → | 2017 | 4004 |
| 3 | Global, regional, and national disability-adjusted life-years (DALYs) for 333 diseases and injuries and healthy life expectancy (HALE) for 195 countries and territories, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016 Hit paper breakdown → | 2017 | 1729 |
| 4 | Estimates of the global, regional, and national morbidity, mortality, and aetiologies of diarrhoea in 195 countries: a systematic analysis for the Global Burden of Disease Study 2016 Hit paper breakdown → | 2018 | 1118 |
| 5 | The current and future global distribution and population at risk of dengue Hit paper breakdown → | 2019 | 907 |
| 6 | Global, regional, and national age-sex-specific mortality and life expectancy, 1950–2017: a systematic analysis for the Global Burden of Disease Study 2017 Hit paper breakdown → | 2018 | 797 |
| 7 | Global, regional, and national under-5 mortality, adult mortality, age-specific mortality, and life expectancy, 1970–2016: a systematic analysis for the Global Burden of Disease Study 2016 Hit paper breakdown → | 2017 | 631 |
| 8 | Population and fertility by age and sex for 195 countries and territories, 1950–2017: a systematic analysis for the Global Burden of Disease Study 2017 Hit paper breakdown → | 2018 | 367 |
| 9 | Burden of disease in Brazil, 1990–2016: a systematic subnational analysis for the Global Burden of Disease Study 2016 Hit paper breakdown → | 2018 | 304 |
| 10 | The global burden of tuberculosis: results from the Global Burden of Disease Study 2015 Hit paper breakdown → | 2017 | 294 |
| 11 | Vulnerability to snakebite envenoming: a global mapping of hotspots Hit paper breakdown → | 2018 | 287 |
| 12 | 2018 | 187 | |
| 13 | 2018 | 186 | |
| 14 | 2018 | 139 | |
| 15 | 2019 | 123 | |
| 16 | 2018 | 116 | |
| 17 | 2018 | 112 | |
| 18 | 2019 | 105 | |
| 19 | 2018 | 92 | |
| 20 | 2019 | 89 |
About Sarah E. Ray
Sarah E. Ray is a scholar working on Demography, Health Information Management, Infectious Diseases, General Health Professions and Parasitology, having authored 29 papers that have together received 22.8k indexed citations. Recurring topics across this work include Insurance, Mortality, Demography, Risk Management (8 papers), Global Health and Epidemiology (5 papers), Global Health Care Issues (4 papers), Mosquito-borne diseases and control (3 papers), Tuberculosis Research and Epidemiology (3 papers), Child Nutrition and Water Access (2 papers), Viral gastroenteritis research and epidemiology (2 papers) and Gender, Education, and Development Issues (1 paper). The work is most often cited by research in Pharmacology (1.8k citations), Psychiatry and Mental health (1.7k citations), Periodontics (542 citations), Biological Psychiatry (110 citations) and Parasitology (551 citations). Sarah E. Ray has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Simon Iain Hay, David M. Pigott, Freya M. Shearer, Robert C. Reiner, Oliver J. Brady, Moritz U. G. Kraemer, Nick Golding, Nicole Davis Weaver, Lucas Earl and William Wint. Their work appears in journals such as The Lancet, Nature, Nature Microbiology, The Lancet Infectious Diseases and BMC Medicine.
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.