Kevin Barringer

3.4k citations
19 papers · 2.8k indexed · 1 hit paper · h-index 15
Topics
HIV Research and Treatment (4 papers)Fungal and yeast genetics research (4 papers)HIV/AIDS drug development and treatment (4 papers)

In The Last Decade

Kevin Barringer

19 papers receiving 2.6k citations

Hit Papers

Nevirapine resistance mutations of human immunodeficiency...19942026200420151994100200300400

Peers

Kevin Barringer
Comparison fields: 5 of 98
  • Molecular Biology 1.7k
  • Infectious Diseases 630
  • Virology 547
  • Biomedical Engineering 459
  • Pathology and Forensic Medicine 287
Replace Angray S. Kang with:
Angray S. Kang United Kingdom
Thomas J. Kindt United States
Mitchell Gross United States
Jeffry J. Leary United States
Dietmar G. Braun Switzerland
Phuong Pham United States
R. Padmanabhan United States
Harald Wodrich France
David N. Garboczi United States
R A Houghten United States
Kevin Barringer relative to Angray S. Kang United Kingdom Angray S. Kang's profile →
Citations per field
00.5×5.7×
Angray S. Kang · 1×
Citations per year

Countries citing papers authored by Kevin Barringer

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Barringer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Barringer

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Barringer. A scholar is included among the top collaborators of Kevin Barringer 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 Kevin Barringer. Kevin Barringer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 4
2 11
3 59
4 22
5 235
6 24
7 27
8
Nevirapine resistance mutations of human immunodeficiency virus type 1 selected during therapybreakdown →
487
9 51
10 24
11 399
12 68
13 122
14 228
15 204
16 7
17 417
18 358
19 11

About Kevin Barringer

Kevin Barringer is a scholar working on Virology, Infectious Diseases and Molecular Biology, having authored 19 papers that have together received 2.8k indexed citations. Recurring topics across this work include HIV Research and Treatment (4 papers), Fungal and yeast genetics research (4 papers) and HIV/AIDS drug development and treatment (4 papers). The work is most often cited by research in Virology (547 citations), Infectious Diseases (630 citations) and Molecular Biology (1.7k citations). Kevin Barringer has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Knut Madden, James M. Cregg, Anita Y. Hessler, Douglas D. Richman, J M Cregg, T Gingeras, Kourtnie Whitfield, J C Guatelli, Deborah Y. Kwoh and Gregory P. Thill. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Molecular and Cellular Biology.

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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