John Ramble
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Viral gastroenteritis research and epidemiology
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
-
- SARS-CoV-2 and COVID-19 Research 6
- COVID-19 Clinical Research Studies 3
- HIV/AIDS drug development and treatment 3
- SARS-CoV-2 detection and testing 3
- HIV/AIDS Research and Interventions 2
-
- Hepatitis C virus research 3
- Co-authors
- Ravindra K. Gupta (1 shared paper)C. Y. William Tong (1 shared paper)Eithne M.E. MacMahon (1 shared paper)Sean J Whittaker (1 shared paper)Rafael Bastos Delgado (4 shared papers)Jacques Izopet (4 shared papers)Pascale Trimoulet (4 shared papers)Patrick Braun (4 shared papers)
- Journals
- Journal of Clinical Virology (3 papers)Scientific Reports (2 papers)Journal of Clinical Microbiology (2 papers)Blood (1 paper)Nature (1 paper)
- Partner nations
- United KingdomFranceItaly
In The Last Decade
John Ramble
13 papers receiving 630 citations
John Ramble's Hit Papers
Peers
Comparison fields: 5 of 67
- Infectious Diseases 443
- Modeling and Simulation 71
- Animal Science and Zoology 48
- Immunology 60
- Neurology 42
Countries citing papers authored by John Ramble
This map shows the geographic impact of John Ramble'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 John Ramble with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Ramble more than expected).
Fields of papers citing papers by John Ramble
This network shows the impact of papers produced by John Ramble. 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 John Ramble. The network helps show where John Ramble may publish in the future.
Co-authors
The 22 scholars most cited alongside John Ramble, 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 | SARS-CoV-2 Omicron is an immune escape variant with an altered cell entry pathway Hit paper breakdown → | 2022 | 457 |
| 2 | 2021 | 67 | |
| 3 | 2022 | 41 | |
| 4 | 2006 | 18 | |
| 5 | 2022 | 14 | |
| 6 | 2017 | 12 | |
| 7 | 2022 | 8 | |
| 8 | 2021 | 7 | |
| 9 | 2017 | 7 | |
| 10 | 2017 | 5 | |
| 11 | 2017 | 2 | |
| 12 | 2017 | 2 | |
| 13 | 2023 | 1 |
About John Ramble
John Ramble is a scholar working on Infectious Diseases, Hepatology, Virology, Epidemiology and Modeling and Simulation, having authored 13 papers that have together received 641 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (6 papers), COVID-19 Clinical Research Studies (3 papers), Hepatitis B Virus Studies (3 papers), Hepatitis C virus research (3 papers), HIV/AIDS drug development and treatment (3 papers), SARS-CoV-2 detection and testing (3 papers), HIV/AIDS Research and Interventions (2 papers) and HIV Research and Treatment (2 papers). The work is most often cited by research in Infectious Diseases (443 citations), Modeling and Simulation (71 citations), Animal Science and Zoology (48 citations), Immunology (60 citations) and Neurology (42 citations). John Ramble has collaborated with scholars based in United Kingdom, France and Italy. Frequent co-authors include Ravindra K. Gupta, C. Y. William Tong, Eithne M.E. MacMahon, Sean J Whittaker, Rafael Bastos Delgado, Jacques Izopet, Pascale Trimoulet, Patrick Braun, Siobhan O’Shea and Karine Sauné. Their work appears in journals such as Journal of Clinical Virology, Scientific Reports, Journal of Clinical Microbiology, Blood and Nature.
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.