Anthony Brown

6.1k citations
41 papers · 2.1k indexed · 1 hit paper · h-index 21

Impact in

  • Hepatology top 0.5%
    • Hepatitis C virus research
    • Liver Disease and Transplantation
    • Hepatitis B Virus Studies
    • Liver Disease Diagnosis and Treatment

Papers in

Anthony Brown

40 papers receiving 2.1k citations

Hit Papers

Global distribution and prevalence of hepatitis C virus genotypes 2014 · 1.1k citations
1.1k20142026201820222505007501000

Peers

Anthony Brown
Comparison fields: 5 of 100
  • Hepatology 1.5k
  • Epidemiology 1.3k
  • Virology 108
  • Infectious Diseases 330
  • Agronomy and Crop Science 165
Replace Takayoshi Ito with:
Takayoshi Ito Japan
Thomas Vanwolleghem Belgium
Gerald Eder Austria
Inmaculada Castillo Spain
Laura Solforosi Italy
D C Wong United States
Lizhe Xu United States
Tomasz I. Michalak Canada
Yasuhiro Itsui Japan
Marı́a Martell Spain
Anthony Brown relative to Takayoshi Ito Japan Takayoshi Ito's profile →
Citations per field
00.5×6.1×
Takayoshi Ito · 1×
Citations per year

Countries citing papers authored by Anthony Brown

Since Specialization
Citations

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

Fields of papers citing papers by Anthony Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202420
2 20241
3 20239
4 202119
5 20213
6 202017
7 201970
8 20187
9 201850
10
Resistance analysis of genotype 3 HCV indicates subtypes inherently resistant to NS5A inhibitors.
20183
11 201733
12 201635
13 201416
14 201214
15 201034
16 201037
17 199046
18 198973
19 198776
20 19721

About Anthony Brown

Anthony Brown is a scholar working on Hepatology, Virology, Epidemiology, Agronomy and Crop Science and Immunology, having authored 41 papers that have together received 2.1k indexed citations. Recurring topics across this work include Hepatitis C virus research (19 papers), Hepatitis B Virus Studies (13 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), vaccines and immunoinformatics approaches (5 papers), HIV Research and Treatment (5 papers), Immune Cell Function and Interaction (5 papers), Viral Infections and Immunology Research (4 papers) and Animal Disease Management and Epidemiology (4 papers). The work is most often cited by research in Hepatology (1.5k citations), Epidemiology (1.3k citations), Virology (108 citations), Infectious Diseases (330 citations) and Agronomy and Crop Science (165 citations). Anthony Brown has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Eleanor Barnes, Oliver G. Pybus, Isla Humphreys, Graham Cooke, Jane P. Messina, Abraham D. Flaxman, David J. Rowlands, B. E. Clarke, Paul Klenerman and Charles E. Ray. Their work appears in journals such as Hepatology, Vaccine, Journal of Virology, Gut and npj Vaccines.

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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