Jason Raw
Impact in
- Infectious Diseases top 2%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
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- Antibiotic Use and Resistance
Papers in
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- Parkinson's Disease Mechanisms and Treatments 8
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- COVID-19 Clinical Research Studies 5
- Co-authors
- Monty Silverdale (3 shared papers)Joanne E. Rodda (2 shared papers)Georg Kägi (2 shared papers)Bruno A. Bergmans (2 shared papers)Wolfgang H. Jost (2 shared papers)Iracema Leroi (2 shared papers)Sabina Vatter (2 shared papers)Juan Carlos Gómez‐Esteban (2 shared papers)
- Journals
- The Lancet (4 papers)Journal of Parkinson s Disease (3 papers)JAMA Neurology (2 papers)ERJ Open Research (1 paper)Movement Disorders (1 paper)
- Partner nations
- United KingdomGermanySpain
In The Last Decade
Jason Raw
16 papers receiving 1.7k citations
Jason Raw's Hit Papers
Peers
Comparison fields: 5 of 89
- Infectious Diseases 1.1k
- Applied Microbiology and Biotechnology 39
- Neurology 229
- Internal Medicine 27
- Statistics and Probability 48
Countries citing papers authored by Jason Raw
This map shows the geographic impact of Jason Raw'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 Jason Raw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason Raw more than expected).
Fields of papers citing papers by Jason Raw
This network shows the impact of papers produced by Jason Raw. 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 Jason Raw. The network helps show where Jason Raw may publish in the future.
Co-authors
The 25 scholars most cited alongside Jason Raw, 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 | 2020 | 526 | |
| 2 | Azithromycin in patients admitted to hospital with COVID-19 (RECOVERY): a randomised, controlled, open-label, platform trial Hit paper breakdown → | 2021 | 411 |
| 3 | Casirivimab and imdevimab in patients admitted to hospital with COVID-19 (RECOVERY): a randomised, controlled, open-label, platform trial Hit paper breakdown → | 2022 | 282 |
| 4 | 2021 | 213 | |
| 5 | Relevance of genetic testing in the gene-targeted trial era: the Rostock Parkinson’s disease study Hit paper breakdown → | 2024 | 59 |
| 6 | 2021 | 46 | |
| 7 | 2022 | 35 | |
| 8 | 2020 | 33 | |
| 9 | 2019 | 28 | |
| 10 | 2022 | 25 | |
| 11 | 2019 | 22 | |
| 12 | 2024 | 17 | |
| 13 | 2024 | 12 | |
| 14 | 2005 | 10 | |
| 15 | 2023 | 10 | |
| 16 | 2021 | 7 | |
| 17 | 2025 | 0 |
About Jason Raw
Jason Raw is a scholar working on Neurology, Infectious Diseases, Psychiatry and Mental health, Epidemiology and Education, having authored 17 papers that have together received 1.7k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (8 papers), COVID-19 Clinical Research Studies (5 papers), Dementia and Cognitive Impairment Research (2 papers), Reflective Practices in Education (1 paper) and Autoimmune and Inflammatory Disorders (1 paper). The work is most often cited by research in Infectious Diseases (1.1k citations), Applied Microbiology and Biotechnology (39 citations), Neurology (229 citations), Internal Medicine (27 citations) and Statistics and Probability (48 citations). Jason Raw has collaborated with scholars based in United Kingdom, Germany and Spain. Frequent co-authors include Monty Silverdale, Joanne E. Rodda, Georg Kägi, Bruno A. Bergmans, Wolfgang H. Jost, Iracema Leroi, Sabina Vatter, Juan Carlos Gómez‐Esteban, Jaime Kulisevsky and Vasiliki Orgeta. Their work appears in journals such as The Lancet, Journal of Parkinson s Disease, JAMA Neurology, ERJ Open Research and Movement Disorders.
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.