Patrice André

178 papers receiving 7.1k citations

Patrice André's Hit Papers

Characterization of Low- and Very-Low-Density Hepatitis C Virus RNA-Containing Particles 2002 · 551 citations
5510+8+16Years since publication100200300400500

Peers

Patrice André
Comparison fields: 5 of 146
  • Hepatology 2.0k
  • Virology 556
  • Epidemiology 2.2k
  • Immunology 1.1k
  • Infectious Diseases 852
Replace Stephen J. Polyak with:
Stephen J. Polyak United States
Birke Bartosch France
Philip Meuleman Belgium
Koichi Watashi Japan
François Bricaire France
Timothy M. Block United States
Hans Wilhelm Doerr Germany
Yung‐Chi Cheng United States
Dirk K. F. Meijer Netherlands
Ratna B. Ray United States
Patrice André relative to Stephen J. Polyak United States Stephen J. Polyak's profile →
Citations per field
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Stephen J. Polyak · 1×
Citations per year

Countries citing papers authored by Patrice André

Since Specialization
Citations

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

Fields of papers citing papers by Patrice André

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 179 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Characterization of Low- and Very-Low-Density Hepatitis C Virus RNA-Containing Particles
Hit paper breakdown →
2002551
2 2010357
3 2010291
4 1998235
5 2011163
6 2000145
7 2005140
8 2008131
9 2001117
10 2016111
11 2009108
12 1998107
13 2017106
14 2014102
15 2012100
16 201389
17 201188
18 200687
19 200684
20 200281

About Patrice André

Patrice André is a scholar working on Molecular Biology, Epidemiology, Hepatology, Infectious Diseases and Immunology, having authored 179 papers that have together received 7.3k indexed citations. Recurring topics across this work include Hepatitis C virus research (40 papers), Hepatitis B Virus Studies (25 papers), HIV Research and Treatment (20 papers), HIV/AIDS drug development and treatment (16 papers), Liver Disease Diagnosis and Treatment (14 papers), Natural product bioactivities and synthesis (12 papers), interferon and immune responses (7 papers) and Immune Response and Inflammation (7 papers). The work is most often cited by research in Hepatology (2.0k citations), Virology (556 citations), Epidemiology (2.2k citations), Immunology (1.1k citations) and Infectious Diseases (852 citations). Patrice André has collaborated with scholars based in France, Germany and United States. Frequent co-authors include Vincent Lotteau, Laure Perrin‐Cocon, Ralf Bartenschlager, Olivier Diaz, Christophe Ramière, François Pénin, Laurène Meyniel‐Schicklin, Volker Lohmann, M. Lafosse and Sophie Agaugué. Their work appears in journals such as Journal of Chromatography A, Journal of Medical Virology, The Journal of Immunology, Journal of Hepatology and Journal of Virology.

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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