John Barr

4.4k citations
86 papers · 3.5k · h-index 34

Impact in

Papers in

    • Viral Infections and Vectors 48
    • Viral Infections and Outbreaks Research 19
    • Respiratory viral infections research 19
    • Virology and Viral Diseases 15

John Barr

86 papers receiving 3.4k citations

Peers

John Barr
Comparison fields: 5 of 93
  • Infectious Diseases 1.9k
  • Animal Science and Zoology 463
  • Epidemiology 1.3k
  • Virology 149
  • Ecology, Evolution, Behavior and Systematics 582
Replace Sheli R. Radoshitzky with:
Sheli R. Radoshitzky United States
Masayuki Horie Japan
Dominique Garcin Switzerland
Egbert Mundt Germany
Hiroomi Akashi Japan
Mary Tachedjian Australia
Cixiu Li China
Vı́ctor Romanowski Argentina
Celia Perales Spain
J. C. S. Clegg United Kingdom
John Barr relative to Sheli R. Radoshitzky United States Sheli R. Radoshitzky's profile →
Citations per field
00.5×1.5×
Sheli R. Radoshitzky · 1×
Citations per year

Countries citing papers authored by John Barr

Since Specialization
Citations

This map shows the geographic impact of John 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 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 Barr more than expected).

Fields of papers citing papers by John Barr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995424
2 2004275
3 2011177
4 1997126
5 2012109
6 200299
7 201083
8 199780
9 201479
10 201075
11 201370
12 200369
13 201268
14 200468
15 201464
16 201362
17 201460
18 199160
19 201256
20 200155

About John Barr

John Barr is a scholar working on Infectious Diseases, Epidemiology, Ecology, Evolution, Behavior and Systematics, Public Health, Environmental and Occupational Health and Ecology, having authored 86 papers that have together received 3.5k indexed citations. Recurring topics across this work include Viral Infections and Vectors (48 papers), Vector-Borne Animal Diseases (24 papers), Mosquito-borne diseases and control (21 papers), Respiratory viral infections research (19 papers), Viral Infections and Outbreaks 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 (1.9k citations), Animal Science and Zoology (463 citations), Epidemiology (1.3k citations), Virology (149 citations) and Ecology, Evolution, Behavior and Systematics (582 citations). John Barr has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Gail Williams Wertz, Sean P. J. Whelan, Julian A. Hiscox, Cheryl T. Walter, L. Andrew Ball, Rachel Fearns, Jamel Mankouri, Weining Wu, Diane C. Munday and Roger Hewson. Their work appears in journals such as Journal of Virology, Journal of General Virology, RNA, Virology and Journal of Biological Chemistry.

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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