J Knight
Impact in
- Microbiology top 10%
- Bacterial Infections and Vaccines
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- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
Papers in
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- SARS-CoV-2 and COVID-19 Research 2
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- Influenza Virus Research Studies 3
- Pneumonia and Respiratory Infections 2
- Co-authors
- Kevin S. Harrod (6 shared papers)Frederick Koster (4 shared papers)Hartmut Beug (3 shared papers)Robert C. Layton (3 shared papers)Scott A. Halperin (3 shared papers)Peng Gao (3 shared papers)John Pyles (3 shared papers)N.G. Fomukong (4 shared papers)
- Journals
- Virology (2 papers)Journal of Virology (2 papers)Genes & Development (1 paper)Developmental Neuroscience (1 paper)Vaccine (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
J Knight
14 papers receiving 341 citations
Peers
Comparison fields: 5 of 67
- Microbiology 37
- Infectious Diseases 105
- Immunology 88
- Epidemiology 117
- Modeling and Simulation 15
Countries citing papers authored by J Knight
This map shows the geographic impact of J Knight'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 J Knight with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J Knight more than expected).
Fields of papers citing papers by J Knight
This network shows the impact of papers produced by J Knight. 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 J Knight. The network helps show where J Knight may publish in the future.
Co-authors
The 25 scholars most cited alongside J Knight, 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 | 2010 | 60 | |
| 2 | 2011 | 53 | |
| 3 | 2012 | 46 | |
| 4 | 1988 | 40 | |
| 5 | 2014 | 33 | |
| 6 | 2006 | 28 | |
| 7 | 2002 | 21 | |
| 8 | 1986 | 19 | |
| 9 | 2011 | 15 | |
| 10 | 2008 | 13 | |
| 11 | Abnormal glycosylation of the env-sea oncogene product inhibits its proteolytic cleavage and blocks its transforming ability. | 1988 | 11 |
| 12 | 1990 | 5 | |
| 13 | 2009 | 3 | |
| 14 | 2022 | 1 |
About J Knight
J Knight is a scholar working on Infectious Diseases, Epidemiology, Immunology, Molecular Biology and Neurology, having authored 14 papers that have together received 348 indexed citations. Recurring topics across this work include Immune Response and Inflammation (3 papers), Influenza Virus Research Studies (3 papers), Long-Term Effects of COVID-19 (2 papers), Bacterial Infections and Vaccines (2 papers), Animal Disease Management and Epidemiology (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Virus-based gene therapy research (2 papers) and Pneumonia and Respiratory Infections (2 papers). The work is most often cited by research in Microbiology (37 citations), Infectious Diseases (105 citations), Immunology (88 citations), Epidemiology (117 citations) and Modeling and Simulation (15 citations). J Knight has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Kevin S. Harrod, Frederick Koster, Hartmut Beug, Robert C. Layton, Scott A. Halperin, Peng Gao, John Pyles, N.G. Fomukong, Michael J. Hayman and Song F. Lee. Their work appears in journals such as Virology, Journal of Virology, Genes & Development, Developmental Neuroscience and Vaccine.
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.