Jade King
Impact in
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
-
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Viral gastroenteritis research and epidemiology
- SARS-CoV-2 detection and testing
Papers in ⓘ
-
- SARS-CoV-2 and COVID-19 Research 3
- COVID-19 Clinical Research Studies 3
- Viral gastroenteritis research and epidemiology 1
- Health 3
- Vaccine Coverage and Hesitancy 3
- Co-authors
- Jennifer Oliver (6 shared papers)Adam Finn (6 shared papers)León Danon (5 shared papers)Catherine Hyams (6 shared papers)María García González (2 shared papers)Gabriella Ruffino (2 shared papers)Leigh Morrison (2 shared papers)Robyn Heath (2 shared papers)
- Journals
- Journal of the Royal Society of Medicine (1 paper)British Journal of Haematology (1 paper)Eurosurveillance (1 paper)The Lancet Infectious Diseases (1 paper)Vaccine (1 paper)
- Partner nations
- United KingdomUnited States
In The Last Decade
Jade King
5 papers receiving 118 citations
Peers
Comparison fields: 5 of 33
- Modeling and Simulation 30
- Infectious Diseases 102
- Health 41
- Neurology 13
- Obstetrics and Gynecology 6
Countries citing papers authored by Jade King
This map shows the geographic impact of Jade King'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 Jade King with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jade King more than expected).
Fields of papers citing papers by Jade King
This network shows the impact of papers produced by Jade King. 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 Jade King. The network helps show where Jade King may publish in the future.
Co-authors
The 25 scholars most cited alongside Jade King, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 91 | |
| 2 | 2021 | 13 | |
| 3 | 2023 | 8 | |
| 4 | 2023 | 4 | |
| 5 | 2024 | 4 | |
| 6 | 2023 | 0 |
About Jade King
Jade King is a scholar working on Infectious Diseases, Health, Genetics, Pulmonary and Respiratory Medicine and Epidemiology, having authored 6 papers that have together received 120 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (3 papers), COVID-19 Clinical Research Studies (3 papers), Vaccine Coverage and Hesitancy (3 papers), Hemoglobinopathies and Related Disorders (1 paper), Blood groups and transfusion (1 paper), Pneumocystis jirovecii pneumonia detection and treatment (1 paper), Respiratory Support and Mechanisms (1 paper) and Viral gastroenteritis research and epidemiology (1 paper). The work is most often cited by research in Modeling and Simulation (30 citations), Infectious Diseases (102 citations), Health (41 citations), Neurology (13 citations) and Obstetrics and Gynecology (6 citations). Jade King has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Jennifer Oliver, Adam Finn, León Danon, Catherine Hyams, María García González, Gabriella Ruffino, Leigh Morrison, Robyn Heath, Zsolt Friedrich and Rupert Antico. Their work appears in journals such as Journal of the Royal Society of Medicine, British Journal of Haematology, Eurosurveillance, The Lancet Infectious Diseases and Vaccine.
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.