Thomas G. Ritter
Impact in
- Infectious Diseases top 0.5%
- 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 1%
- COVID-19 epidemiological studies
Papers in
-
- SARS-CoV-2 and COVID-19 Research 14
- COVID-19 Clinical Research Studies 4
- SARS-CoV-2 detection and testing 2
-
- Animal Virus Infections Studies 3
- Co-authors
- David R. Hall (1 shared paper)Paul Klenerman (1 shared paper)Nigel James Temperton (1 shared paper)Jingshan Ren (1 shared paper)Susanna Jane Dunachie (1 shared paper)Muneeswaran Selvaraj (1 shared paper)Daming Zhou (1 shared paper)Raksha Das (1 shared paper)
- Journals
- Cell (4 papers)Nature Communications (2 papers)Cell Reports (2 papers)Clinical Infectious Diseases (2 papers)The Lancet Infectious Diseases (1 paper)
- Partner nations
- United KingdomThailandUnited States
In The Last Decade
Thomas G. Ritter
16 papers receiving 3.5k citations
Thomas G. Ritter's Hit Papers
Peers
Comparison fields: 5 of 104
- Infectious Diseases 3.0k
- Modeling and Simulation 318
- Animal Science and Zoology 344
- Health 178
- Neurology 173
Countries citing papers authored by Thomas G. Ritter
This map shows the geographic impact of Thomas G. Ritter'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 Thomas G. Ritter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas G. Ritter more than expected).
Fields of papers citing papers by Thomas G. Ritter
This network shows the impact of papers produced by Thomas G. Ritter. 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 Thomas G. Ritter. The network helps show where Thomas G. Ritter may publish in the future.
Co-authors
The 23 scholars most cited alongside Thomas G. Ritter, 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-B.1.1.529 leads to widespread escape from neutralizing antibody responses Hit paper breakdown → | 2022 | 740 |
| 2 | 2020 | 649 | |
| 3 | Reduced neutralization of SARS-CoV-2 B.1.617 by vaccine and convalescent serum Hit paper breakdown → | 2021 | 558 |
| 4 | Antibody escape of SARS-CoV-2 Omicron BA.4 and BA.5 from vaccine and BA.1 serum Hit paper breakdown → | 2022 | 547 |
| 5 | 2020 | 281 | |
| 6 | 2021 | 214 | |
| 7 | 2020 | 194 | |
| 8 | 2022 | 127 | |
| 9 | 2021 | 60 | |
| 10 | 2021 | 56 | |
| 11 | 2022 | 45 | |
| 12 | 2022 | 29 | |
| 13 | 2022 | 21 | |
| 14 | 2023 | 20 | |
| 15 | 2024 | 17 | |
| 16 | 2024 | 13 | |
| 17 | 2024 | 0 |
About Thomas G. Ritter
Thomas G. Ritter is a scholar working on Infectious Diseases, Animal Science and Zoology, Radiology, Nuclear Medicine and Imaging, Immunology and Cardiology and Cardiovascular Medicine, having authored 17 papers that have together received 3.6k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (14 papers), COVID-19 Clinical Research Studies (4 papers), Animal Virus Infections Studies (3 papers), vaccines and immunoinformatics approaches (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), SARS-CoV-2 detection and testing (2 papers), Viral Infections and Immunology Research (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Infectious Diseases (3.0k citations), Modeling and Simulation (318 citations), Animal Science and Zoology (344 citations), Health (178 citations) and Neurology (173 citations). Thomas G. Ritter has collaborated with scholars based in United Kingdom, Thailand and United States. Frequent co-authors include David R. Hall, Paul Klenerman, Nigel James Temperton, Jingshan Ren, Susanna Jane Dunachie, Muneeswaran Selvaraj, Daming Zhou, Raksha Das, Helen M. E. Duyvesteyn and Neil G. Paterson. Their work appears in journals such as Cell, Nature Communications, Cell Reports, Clinical Infectious Diseases and The Lancet Infectious Diseases.
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.