John N. Barr

4.3k citations
80 papers · 3.2k · h-index 33

Impact in

Papers in

    • Viral Infections and Vectors 51
    • Viral Infections and Outbreaks Research 19
    • Respiratory viral infections research 19
    • Virology and Viral Diseases 15

John N. Barr

78 papers receiving 3.1k citations

Peers

John N. Barr
Comparison fields: 5 of 94
  • Infectious Diseases 1.8k
  • Animal Science and Zoology 464
  • Epidemiology 1.3k
  • Ecology, Evolution, Behavior and Systematics 576
  • Virology 129
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John N. Barr relative to Dominique Garcin Switzerland Dominique Garcin's profile →
Citations per field
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Dominique Garcin · 1×
Citations per year

Countries citing papers authored by John N. Barr

Since Specialization
Citations

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

Fields of papers citing papers by John N. Barr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John N. Barr. 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 John N. Barr. The network helps show where John N. Barr may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995397
2 2004263
3 2011165
4 1997119
5 201298
6 200295
7 199779
8 201077
9 201472
10 200466
11 200365
12 201365
13 201063
14 201262
15 201360
16 201457
17 199156
18 201255
19 200154
20 200748

About John N. Barr

John N. Barr is a scholar working on Infectious Diseases, Epidemiology, Ecology, Evolution, Behavior and Systematics, Public Health, Environmental and Occupational Health and Ecology, having authored 80 papers that have together received 3.2k indexed citations. Recurring topics across this work include Viral Infections and Vectors (51 papers), Vector-Borne Animal Diseases (26 papers), Mosquito-borne diseases and control (22 papers), Viral Infections and Outbreaks Research (19 papers), Respiratory viral infections research (19 papers), Virology and Viral Diseases (15 papers), Bacteriophages and microbial interactions (12 papers) and Virus-based gene therapy research (11 papers). The work is most often cited by research in Infectious Diseases (1.8k citations), Animal Science and Zoology (464 citations), Epidemiology (1.3k citations), Ecology, Evolution, Behavior and Systematics (576 citations) and Virology (129 citations). John N. Barr has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Gail W. Wertz, Sean P. J. Whelan, Julian A. Hiscox, Cheryl Walter, L. Andrew Ball, Jamel Mankouri, Weining Wu, Diane C. Munday, Rebecca Surtees and Roger Hewson. Their work appears in journals such as Journal of Virology, Journal of General Virology, Journal of Biological Chemistry, Virology and RNA.

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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