Earl G. Brown

5.0k total citations · 1 hit paper
70 papers, 3.9k citations indexed

About

Earl G. Brown is a scholar working on Epidemiology, Molecular Biology and Immunology. According to data from OpenAlex, Earl G. Brown has authored 70 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Epidemiology, 26 papers in Molecular Biology and 24 papers in Immunology. Recurrent topics in Earl G. Brown's work include Influenza Virus Research Studies (38 papers), RNA and protein synthesis mechanisms (22 papers) and Respiratory viral infections research (20 papers). Earl G. Brown is often cited by papers focused on Influenza Virus Research Studies (38 papers), RNA and protein synthesis mechanisms (22 papers) and Respiratory viral infections research (20 papers). Earl G. Brown collaborates with scholars based in Canada, United States and China. Earl G. Brown's co-authors include John C. Bell, David F. Stojdl, Brian D. Lichty, Nicole Forbes, Ricardo Marius, Shane Knowles, Harold Atkins, Samar Dankar, Steven L. Brody and Aida Ibricevic and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Immunology.

In The Last Decade

Earl G. Brown

70 papers receiving 3.8k citations

Hit Papers

VSV strains with defects in their ability to shutdown inn... 2003 2026 2010 2018 2003 200 400 600

Peers

Earl G. Brown
Comparison fields: 5 of 107
  • Epidemiology 2.2k
  • Immunology 1.3k
  • Molecular Biology 1.1k
  • Infectious Diseases 961
  • Genetics 812
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Citations per field, relative to Earl G. Brown
Earl G. Brown · 1×
Citations per year, relative to Earl G. Brown
Earl G. Brown · 1×

Countries citing papers authored by Earl G. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Earl G. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Earl G. Brown. 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 Earl G. Brown. The network helps show where Earl G. Brown may publish in the future.

Co-authorship network of co-authors of Earl G. Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Earl G. Brown. A scholar is included among the top collaborators of Earl G. Brown 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 Earl G. Brown. Earl G. Brown 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 25
2 21
3 33
4 52
5 94
6 17
7 43
8 44
9 2
10 177
11 81
12 42
13 51
14 34
15 88
16 28
17
VSV strains with defects in their ability to shutdown innate immunity are potent systemic anti-cancer agents breakdown →
674
18 10
19 13
20 52

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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