John S. Errett
Impact in
- Immunology top 5%
- interferon and immune responses
- Immune Response and Inflammation
- Infectious Diseases top 5%
- Viral Infections and Vectors
- SARS-CoV-2 and COVID-19 Research
Papers in
-
- interferon and immune responses 6
-
- Prion Diseases and Protein Misfolding 1
- Co-authors
- Michael Gale (5 shared papers)Michael Diamond (2 shared papers)Roland Züst (1 shared paper)Tsai‐Yu Lin (1 shared paper)Volker Fensterl (1 shared paper)Pei‐Yong Shi (1 shared paper)Soonjeon Youn (1 shared paper)Stewart W. Schneller (1 shared paper)
- Journals
- Journal of Virology (3 papers)Protein Science (1 paper)Nature (1 paper)Nature Immunology (1 paper)Virologica Sinica (1 paper)
- Partner nations
- United StatesSwitzerlandFrance
In The Last Decade
John S. Errett
7 papers receiving 1.1k citations
John S. Errett's Hit Papers
Peers
Comparison fields: 5 of 68
- Immunology 499
- Infectious Diseases 379
- Virology 71
- Public Health, Environmental and Occupational Health 248
- Molecular Biology 467
Countries citing papers authored by John S. Errett
This map shows the geographic impact of John S. Errett'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 S. Errett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John S. Errett more than expected).
Fields of papers citing papers by John S. Errett
This network shows the impact of papers produced by John S. Errett. 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 S. Errett. The network helps show where John S. Errett may publish in the future.
Co-authors
The 25 scholars most cited alongside John S. Errett, 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 | 2′-O methylation of the viral mRNA cap evades host restriction by IFIT family members Hit paper breakdown → | 2010 | 684 |
| 2 | 2013 | 158 | |
| 3 | 2017 | 101 | |
| 4 | 2010 | 72 | |
| 5 | 2006 | 55 | |
| 6 | 2004 | 41 | |
| 7 | 2015 | 25 |
About John S. Errett
John S. Errett is a scholar working on Immunology, Molecular Biology, Infectious Diseases, Virology and Oncology, having authored 7 papers that have together received 1.1k indexed citations. Recurring topics across this work include interferon and immune responses (6 papers), Cytokine Signaling Pathways and Interactions (2 papers), HIV Research and Treatment (2 papers), Viral Infections and Vectors (2 papers), Cytomegalovirus and herpesvirus research (1 paper), Trace Elements in Health (1 paper), Neurological diseases and metabolism (1 paper) and Prion Diseases and Protein Misfolding (1 paper). The work is most often cited by research in Immunology (499 citations), Infectious Diseases (379 citations), Virology (71 citations), Public Health, Environmental and Occupational Health (248 citations) and Molecular Biology (467 citations). John S. Errett has collaborated with scholars based in United States, Switzerland and France. Frequent co-authors include Michael Gale, Michael Diamond, Roland Züst, Tsai‐Yu Lin, Volker Fensterl, Pei‐Yong Shi, Soonjeon Youn, Stewart W. Schneller, Hongping Dong and R. Mark L. Buller. Their work appears in journals such as Journal of Virology, Protein Science, Nature, Nature Immunology and Virologica Sinica.
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.