Jon Cort
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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- COVID-19 Clinical Research Studies 9
-
- Blood transfusion and management 1
- Co-authors
- Gail Miflin (1 shared paper)Cheng‐Hock Toh (1 shared paper)Shubha Allard (1 shared paper)Catherine Howell (1 shared paper)
- Journals
- JAMA (4 papers)The Lancet (3 papers)Transfusion Medicine (1 paper)The Lancet Infectious Diseases (1 paper)Intensive Care Medicine (1 paper)
- Partner nations
- United KingdomAustraliaUnited States
In The Last Decade
Jon Cort
12 papers receiving 1.1k citations
Jon Cort's Hit Papers
Peers
Comparison fields: 5 of 71
- Infectious Diseases 706
- Applied Microbiology and Biotechnology 34
- Internal Medicine 17
- Statistics and Probability 49
- Neurology 36
Countries citing papers authored by Jon Cort
This map shows the geographic impact of Jon Cort'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 Jon Cort with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jon Cort more than expected).
Fields of papers citing papers by Jon Cort
This network shows the impact of papers produced by Jon Cort. 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 Jon Cort. The network helps show where Jon Cort may publish in the future.
Co-authors
The 4 scholars most cited alongside Jon Cort, 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 | Azithromycin in patients admitted to hospital with COVID-19 (RECOVERY): a randomised, controlled, open-label, platform trial Hit paper breakdown → | 2021 | 411 |
| 2 | Baricitinib in patients admitted to hospital with COVID-19 (RECOVERY): a randomised, controlled, open-label, platform trial and updated meta-analysis Hit paper breakdown → | 2022 | 231 |
| 3 | 2022 | 105 | |
| 4 | 2022 | 100 | |
| 5 | Higher dose corticosteroids in patients admitted to hospital with COVID-19 who are hypoxic but not requiring ventilatory support (RECOVERY): a randomised, controlled, open-label, platform trial Hit paper breakdown → | 2023 | 84 |
| 6 | 2021 | 72 | |
| 7 | 2023 | 46 | |
| 8 | 2023 | 34 | |
| 9 | 2023 | 25 | |
| 10 | 2024 | 24 | |
| 11 | 2021 | 6 | |
| 12 | 2025 | 5 |
About Jon Cort
Jon Cort is a scholar working on Infectious Diseases, Biochemistry, Management of Technology and Innovation, Nutrition and Dietetics and Surgery, having authored 12 papers that have together received 1.1k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (9 papers), Blood transfusion and management (1 paper), Vitamin C and Antioxidants Research (1 paper), Blood donation and transfusion practices (1 paper) and Kawasaki Disease and Coronary Complications (1 paper). The work is most often cited by research in Infectious Diseases (706 citations), Applied Microbiology and Biotechnology (34 citations), Internal Medicine (17 citations), Statistics and Probability (49 citations) and Neurology (36 citations). Jon Cort has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Gail Miflin, Cheng‐Hock Toh, Shubha Allard and Catherine Howell. Their work appears in journals such as JAMA, The Lancet, Transfusion Medicine, The Lancet Infectious Diseases and Intensive Care 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.