Nigel Temperton

16.1k citations
129 papers · 4.0k · h-index 33

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • Viral gastroenteritis research and epidemiology
    • Influenza Virus Research Studies
    • Respiratory viral infections research

Papers in

    • Influenza Virus Research Studies 64
    • Respiratory viral infections research 37
    • SARS-CoV-2 and COVID-19 Research 38
    • Viral gastroenteritis research and epidemiology 17
    • COVID-19 Clinical Research Studies 15
    • Viral Infections and Outbreaks Research 13

Nigel Temperton

121 papers receiving 3.9k citations

Peers

Nigel Temperton
Comparison fields: 5 of 106
  • Infectious Diseases 1.7k
  • Epidemiology 1.9k
  • Immunology 874
  • Virology 190
  • Animal Science and Zoology 329
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Citations per field
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Citations per year

Countries citing papers authored by Nigel Temperton

Since Specialization
Citations

This map shows the geographic impact of Nigel Temperton'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 Nigel Temperton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nigel Temperton more than expected).

Fields of papers citing papers by Nigel Temperton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nigel Temperton. 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 Nigel Temperton. The network helps show where Nigel Temperton may publish in the future.

Co-authors

The 25 scholars most cited alongside Nigel Temperton, 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 Nigel Temperton Line = papers co-authored together Nigel Temperton links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 129 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008366
2 2010358
3 2014163
4 2011146
5 2000138
6 2017116
7 2007111
8 2005111
9 2016106
10 2011101
11 201390
12 201688
13 201187
14 200883
15 201483
16 200579
17 201876
18 201362
19 201562
20 200954

About Nigel Temperton

Nigel Temperton is a scholar working on Epidemiology, Infectious Diseases, Immunology, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 129 papers that have together received 4.0k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (64 papers), SARS-CoV-2 and COVID-19 Research (38 papers), Respiratory viral infections research (37 papers), Viral gastroenteritis research and epidemiology (17 papers), COVID-19 Clinical Research Studies (15 papers), Monoclonal and Polyclonal Antibodies Research (13 papers), Viral Infections and Outbreaks Research (13 papers) and Virus-based gene therapy research (13 papers). The work is most often cited by research in Infectious Diseases (1.7k citations), Epidemiology (1.9k citations), Immunology (874 citations), Virology (190 citations) and Animal Science and Zoology (329 citations). Nigel Temperton has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include Francesca Ferrara, Robin A. Weiss, Shane R. Wilkinson, Edward Wright, George Carnell, Eleonora Molesti, John M. Kelly, Keith Grehan, Emanuele Montomoli and Vamsee Mallajosyula. Their work appears in journals such as Frontiers in Immunology, Journal of General Virology, Vaccines, Viruses and Scientific Reports.

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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