Mark Parrington
Impact in
- Infectious Diseases top 5%
- Viral gastroenteritis research and epidemiology
- Viral Infections and Vectors
- Viral Infections and Outbreaks Research
- Epidemiology top 10%
- Respiratory viral infections research
- Influenza Virus Research Studies
- Pneumonia and Respiratory Infections
Papers in
- Epidemiology 12
- Respiratory viral infections research 7
- Virology and Viral Diseases 4
- Cytomegalovirus and herpesvirus research 2
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- Viral gastroenteritis research and epidemiology 5
- Co-authors
- C. Yong Kang (1 shared paper)Raymond P. Oomen (2 shared papers)Suryaprakash Sambhara (2 shared papers)Xiaomao Li (2 shared papers)Stephen F. Anderson (3 shared papers)Olive James (2 shared papers)Michel Klein (2 shared papers)G A Cates (2 shared papers)
- Journals
- PLoS ONE (4 papers)Vaccine (3 papers)The Journal of Immunology (2 papers)Virology (2 papers)Human Vaccines & Immunotherapeutics (1 paper)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Mark Parrington
18 papers receiving 776 citations
Peers
Comparison fields: 5 of 68
- Infectious Diseases 278
- Epidemiology 405
- Virology 45
- Immunology 148
- Animal Science and Zoology 58
Countries citing papers authored by Mark Parrington
This map shows the geographic impact of Mark Parrington'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 Mark Parrington with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Parrington more than expected).
Fields of papers citing papers by Mark Parrington
This network shows the impact of papers produced by Mark Parrington. 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 Mark Parrington. The network helps show where Mark Parrington may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Parrington, 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 | 2005 | 183 | |
| 2 | 2016 | 144 | |
| 3 | 1998 | 94 | |
| 4 | 2015 | 85 | |
| 5 | 1990 | 58 | |
| 6 | 2000 | 57 | |
| 7 | 1991 | 38 | |
| 8 | 2012 | 32 | |
| 9 | 2017 | 23 | |
| 10 | 2006 | 23 | |
| 11 | 2007 | 19 | |
| 12 | 2016 | 15 | |
| 13 | 2018 | 9 | |
| 14 | 2017 | 8 | |
| 15 | 2024 | 4 | |
| 16 | 2017 | 2 | |
| 17 | 2013 | 1 | |
| 18 | 2009 | 1 |
About Mark Parrington
Mark Parrington is a scholar working on Epidemiology, Infectious Diseases, Virology, Genetics and Immunology, having authored 18 papers that have together received 796 indexed citations. Recurring topics across this work include Respiratory viral infections research (7 papers), Viral gastroenteritis research and epidemiology (5 papers), Virus-based gene therapy research (4 papers), Virology and Viral Diseases (4 papers), Poxvirus research and outbreaks (3 papers), Immunotherapy and Immune Responses (3 papers), HIV Research and Treatment (2 papers) and Cytomegalovirus and herpesvirus research (2 papers). The work is most often cited by research in Infectious Diseases (278 citations), Epidemiology (405 citations), Virology (45 citations), Immunology (148 citations) and Animal Science and Zoology (58 citations). Mark Parrington has collaborated with scholars based in United States, Canada and France. Frequent co-authors include C. Yong Kang, Raymond P. Oomen, Suryaprakash Sambhara, Xiaomao Li, Stephen F. Anderson, Olive James, Michel Klein, G A Cates, Harry Kleanthous and Joshua M. DiNapoli. Their work appears in journals such as PLoS ONE, Vaccine, The Journal of Immunology, Virology and Human Vaccines & Immunotherapeutics.
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.