Chanson J. Brumme

8.1k citations
112 papers · 3.5k indexed · h-index 31
  • Virology top 0.1%
    • HIV Research and Treatment 95
    • HIV/AIDS drug development and treatment 67
    • HIV/AIDS Research and Interventions 51
  • Immunology top 2%
    • Immune Cell Function and Interaction 24
    • T-cell and B-cell Immunology 15
  • Hepatology top 5%
    • Hepatitis C virus research 8
    • HIV, Drug Use, Sexual Risk 6
    • vaccines and immunoinformatics approaches 6

Chanson J. Brumme

106 papers receiving 3.4k citations

Peers

Chanson J. Brumme
Comparison fields: 5 of 107
  • Virology 2.6k
  • Infectious Diseases 2.0k
  • Immunology 1.2k
  • Hepatology 177
  • Epidemiology 685
Replace Winnie Dong with:
Winnie Dong Canada
Charles Farthing United States
Ralph DeMasi United States
Mark Pandori United States
Robin Dewar United States
Diane Descamps France
Lisa M. Demeter United States
Teri Liegler United States
Chris Verhofstede Belgium
Vladimir Novitsky United States
Chanson J. Brumme relative to Winnie Dong Canada Winnie Dong's profile →
Citations per field
00.5×5.9×
Winnie Dong · 1×
Citations per year

Countries citing papers authored by Chanson J. Brumme

Since Specialization
Citations

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

Fields of papers citing papers by Chanson J. Brumme

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chanson J. Brumme. 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 Chanson J. Brumme. The network helps show where Chanson J. Brumme may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20244
3 20239
4 20224
5 20222
6 20229
7 202126
8 202110
9 202120
10 202021
11 202065
12 202019
13 202023
14 201710
15 201716
16 201121
17 200849
18 200817
19 200612
20 200541

About Chanson J. Brumme

Chanson J. Brumme is a scholar working on Virology, Infectious Diseases and Immunology, having authored 112 papers that have together received 3.5k indexed citations. Recurring topics across this work include HIV Research and Treatment (95 papers), HIV/AIDS drug development and treatment (67 papers), HIV/AIDS Research and Interventions (51 papers), Immune Cell Function and Interaction (24 papers), T-cell and B-cell Immunology (15 papers), Hepatitis C virus research (8 papers), vaccines and immunoinformatics approaches (6 papers) and HIV, Drug Use, Sexual Risk (6 papers). The work is most often cited by research in Virology (2.6k citations), Infectious Diseases (2.0k citations) and Immunology (1.2k citations). Chanson J. Brumme has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Zabrina L. Brumme, P. Richard Harrigan, Julio Montaner, Bruce D. Walker, Robert S. Hogg, Brian Wynhoven, Winnie Dong, Mark A. Brockman, Theresa Mo and Todd M. Allen. Their work appears in journals such as Nucleic Acids Research, The Journal of Experimental Medicine and The Journal of Immunology.

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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