Mark Parrington

1.1k citations
19 papers · 810 · h-index 12

Impact in

    • Viral gastroenteritis research and epidemiology
    • Viral Infections and Vectors
    • Viral Infections and Outbreaks Research
    • Respiratory viral infections research
    • Influenza Virus Research Studies
    • Pneumonia and Respiratory Infections

Papers in

    • Respiratory viral infections research 6
    • Virology and Viral Diseases 4
    • Viral gastroenteritis research and epidemiology 5
    • Viral Infections and Outbreaks Research 2

Mark Parrington

19 papers receiving 790 citations

Peers

Mark Parrington
Comparison fields: 5 of 66
  • Infectious Diseases 271
  • Epidemiology 404
  • Virology 46
  • Immunology 145
  • Animal Science and Zoology 56
Replace Bingqian Qu with:
Bingqian Qu China
Michael E. Lindquist United States
Velasco Cimica United States
Catherine Legras‐Lachuer France
Tien-Ying Hsiang United States
Pamela Cook United Kingdom
Malcolm Lawson Australia
Junping Ren United States
Hironori Nishitsuji Japan
Lei Wen China
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Citations per field
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Citations per year

Countries citing papers authored by Mark Parrington

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Mark Parrington Line = papers co-authored together Mark Parrington links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2005183
2 2016145
3 199894
4 201586
5 199058
6 200057
7 199138
8 201232
9 200623
10 201723
11 200719
12 201616
13 201010
14 20189
15 20178
16 20245
17 20172
18 20131
19 20091

About Mark Parrington

Mark Parrington is a scholar working on Epidemiology, Infectious Diseases, Virology, Genetics and Immunology, having authored 19 papers that have together received 810 indexed citations. Recurring topics across this work include Respiratory viral infections research (6 papers), Viral gastroenteritis research and epidemiology (5 papers), Virus-based gene therapy research (5 papers), Immunotherapy and Immune Responses (4 papers), Virology and Viral Diseases (4 papers), Poxvirus research and outbreaks (3 papers), Mosquito-borne diseases and control (2 papers) and Viral Infections and Outbreaks Research (2 papers). The work is most often cited by research in Infectious Diseases (271 citations), Epidemiology (404 citations), Virology (46 citations), Immunology (145 citations) and Animal Science and Zoology (56 citations). Mark Parrington has collaborated with scholars based in United States, Canada and France. Frequent co-authors include C. Yong Kang, Raymond P. Oomen, Michel Klein, Stephen F. Anderson, Suryaprakash Sambhara, G A Cates, Xiaomao Li, Olive James, Joshua M. DiNapoli and Harry Kleanthous. Their work appears in journals such as PLoS ONE, Vaccine, Virology, The Journal of Immunology and Journal of General Virology.

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.

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