Ian Barr

19.8k total citations · 3 hit papers
288 papers, 9.9k citations indexed

About

Ian Barr is a scholar working on Epidemiology, Infectious Diseases and Immunology. According to data from OpenAlex, Ian Barr has authored 288 papers receiving a total of 9.9k indexed citations (citations by other indexed papers that have themselves been cited), including 236 papers in Epidemiology, 73 papers in Infectious Diseases and 53 papers in Immunology. Recurrent topics in Ian Barr's work include Influenza Virus Research Studies (220 papers), Respiratory viral infections research (164 papers) and Animal Disease Management and Epidemiology (48 papers). Ian Barr is often cited by papers focused on Influenza Virus Research Studies (220 papers), Respiratory viral infections research (164 papers) and Animal Disease Management and Epidemiology (48 papers). Ian Barr collaborates with scholars based in Australia, Singapore and United States. Ian Barr's co-authors include Aeron C. Hurt, Anne Kelso, Karen Laurie, Yi‐Mo Deng, Naomi Komadina, Jessica K. Holien, Alan Hampson, Sheena G. Sullivan, Pina Iannello and Louise Carolan and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Ian Barr

280 papers receiving 9.7k citations

Hit Papers

Substitutions Near the Receptor Binding Site Determine Ma... 2013 2026 2017 2021 2013 2022 2022 100 200 300 400

Peers

Ian Barr
Comparison fields: 5 of 179
  • Epidemiology 7.1k
  • Infectious Diseases 2.6k
  • Molecular Biology 1.8k
  • Immunology 1.7k
  • Agronomy and Crop Science 1.4k
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Citations per field, relative to Ian Barr
Ian Barr · 1×
Citations per year, relative to Ian Barr
Ian Barr · 1×

Countries citing papers authored by Ian Barr

Since Specialization
Citations

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

Fields of papers citing papers by Ian Barr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ian Barr

This figure shows the co-authorship network connecting the top 25 collaborators of Ian Barr. A scholar is included among the top collaborators of Ian Barr based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ian Barr. Ian Barr is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 2
4 9
5 14
6 16
7 4
8 5
9 11
10 9
11 7
12 4
13 6
14 4
15 16
16 55
17
The time-interval between infections and viral hierarchies are determinants of viral interference following influenza virus infection in a ferret model
3
18 3
19
Substitutions Near the Receptor Binding Site Determine Major Antigenic Change During Influenza Virus Evolution breakdown →
433
20 106

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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