J Knight
Impact in
- Microbiology top 10%
- Bacterial Infections and Vaccines
-
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
Papers in
-
- Influenza Virus Research Studies 3
- Virology and Viral Diseases 2
- Pneumonia and Respiratory Infections 2
- Co-authors
- Kevin S. Harrod (6 shared papers)Peng Gao (3 shared papers)Hartmut Beug (3 shared papers)Robert C. Layton (3 shared papers)John Pyles (3 shared papers)Scott A. Halperin (3 shared papers)Frederick Koster (4 shared papers)N.G. Fomukong (4 shared papers)
- Journals
- Journal of Virology (2 papers)Virology (2 papers)Developmental Neuroscience (1 paper)Clinical and Vaccine Immunology (1 paper)Clinical & Experimental Immunology (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
J Knight
14 papers receiving 343 citations
Peers
Comparison fields: 5 of 67
- Microbiology 35
- Infectious Diseases 96
- Immunology 84
- Epidemiology 111
- Modeling and Simulation 14
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 | 61 | |
| 2 | 2011 | 54 | |
| 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 Epidemiology, Infectious Diseases, Molecular Biology, Genetics and Microbiology, having authored 14 papers that have together received 350 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (3 papers), Virus-based gene therapy research (2 papers), Virology and Viral Diseases (2 papers), Bacterial Infections and Vaccines (2 papers), Pneumonia and Respiratory Infections (2 papers), Immune Response and Inflammation (2 papers), Pancreatic function and diabetes (1 paper) and Animal Virus Infections Studies (1 paper). The work is most often cited by research in Microbiology (35 citations), Infectious Diseases (96 citations), Immunology (84 citations), Epidemiology (111 citations) and Modeling and Simulation (14 citations). J Knight has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Kevin S. Harrod, Peng Gao, Hartmut Beug, Robert C. Layton, John Pyles, Scott A. Halperin, Frederick Koster, N.G. Fomukong, Michael J. Hayman and Song F. Lee. Their work appears in journals such as Journal of Virology, Virology, Developmental Neuroscience, Clinical and Vaccine Immunology and Clinical & Experimental Immunology.
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.