Stephen C. Barr

4.3k total citations
88 papers, 3.2k citations indexed

About

Stephen C. Barr is a scholar working on Epidemiology, Parasitology and Genetics. According to data from OpenAlex, Stephen C. Barr has authored 88 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Epidemiology, 32 papers in Parasitology and 15 papers in Genetics. Recurrent topics in Stephen C. Barr's work include Trypanosoma species research and implications (24 papers), Parasitic Infections and Diagnostics (17 papers) and Research on Leishmaniasis Studies (11 papers). Stephen C. Barr is often cited by papers focused on Trypanosoma species research and implications (24 papers), Parasitic Infections and Diagnostics (17 papers) and Research on Leishmaniasis Studies (11 papers). Stephen C. Barr collaborates with scholars based in United States, Australia and Canada. Stephen C. Barr's co-authors include Dwight D. Bowman, David S. Lindsay, Charles Μ. Hendrix, Hollis N. Erb, Kenneth W. Simpson, John F. Randolph, Thomas R. Klei, Karen L. Warner, Mark Rishniw and Nicholas J. Haley and has published in prestigious journals such as The Journal of Physiology, Antimicrobial Agents and Chemotherapy and Infection and Immunity.

In The Last Decade

Stephen C. Barr

87 papers receiving 3.1k citations

Peers

Stephen C. Barr
Comparison fields: 5 of 123
  • Parasitology 1.4k
  • Epidemiology 879
  • Infectious Diseases 871
  • Public Health, Environmental and Occupational Health 668
  • Small Animals 599
Replace Franklin A. Neva with:
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Citations per field, relative to Stephen C. Barr
Stephen C. Barr · 1×
Citations per year, relative to Stephen C. Barr
Stephen C. Barr · 1×

Countries citing papers authored by Stephen C. Barr

Since Specialization
Citations

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

Fields of papers citing papers by Stephen C. Barr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen C. Barr

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen C. Barr. A scholar is included among the top collaborators of Stephen C. 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 Stephen C. Barr. Stephen C. 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 80
2 19
3 57
4 52
5 170
6 60
7 5
8 32
9 3
10 15
11 41
12
Giardiasis in dogs and cats
34
13 10
14 58
15 2
16 12
17 29
18 69
19 22
20
The egg of Wyeomyia smithii (Coquillett) and a review of knowledge of the eggs of the Sabethini.
3

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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