Stephen D. Barr

1.9k citations
36 papers · 1.5k · h-index 16

Impact in

  • Virology top 2%
    • HIV Research and Treatment
  • Immunology top 10%
    • interferon and immune responses

Papers in

    • interferon and immune responses 8
    • RNA Interference and Gene Delivery 3
    • CRISPR and Genetic Engineering 3

Stephen D. Barr

34 papers receiving 1.4k citations

Peers

Stephen D. Barr
Comparison fields: 5 of 96
  • Virology 338
  • Immunology 382
  • Infectious Diseases 242
  • Parasitology 75
  • Genetics 289
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Citations per field
00.5×1.5×2.5×
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Citations per year

Countries citing papers authored by Stephen D. Barr

Since Specialization
Citations

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

Fields of papers citing papers by Stephen D. Barr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005332
2 2008233
3 200393
4 200387
5
A comparative study of signal versus aggregate methods of outcome measurement based on the WOMAC Osteoarthritis Index. Western Ontario and McMaster Universities Osteoarthritis Index.
199485
6 200577
7 200675
8 201169
9 200165
10 202149
11 201248
12 201826
13 201822
14 201021
15 201420
16 201416
17 200615
18 201715
19 200614
20 201413

About Stephen D. Barr

Stephen D. Barr is a scholar working on Immunology, Molecular Biology, Virology, Infectious Diseases and Epidemiology, having authored 36 papers that have together received 1.5k indexed citations. Recurring topics across this work include HIV Research and Treatment (11 papers), interferon and immune responses (8 papers), HIV/AIDS drug development and treatment (6 papers), Research on Leishmaniasis Studies (4 papers), Viral Infections and Immunology Research (4 papers), RNA Interference and Gene Delivery (3 papers), Viral Infections and Outbreaks Research (3 papers) and CRISPR and Genetic Engineering (3 papers). The work is most often cited by research in Virology (338 citations), Immunology (382 citations), Infectious Diseases (242 citations), Parasitology (75 citations) and Genetics (289 citations). Stephen D. Barr has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Frederic D. Bushman, Lashitew Gedamu, James R. Smiley, Jeremy Leipzig, Angela Ciuffi, Christian Hoffmann, Sridhar Hannenhalli, Mary K. Lewinski, Jenna N. Kelly and Katherine Plewes. Their work appears in journals such as Journal of Virology, Viruses, Retrovirology, Journal of Biological Chemistry and PLoS Pathogens.

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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