Laurent Chatel‐Chaix

43 papers receiving 2.7k citations

Laurent Chatel‐Chaix's Hit Papers

Blocking NS3–NS4B interaction inhibits dengue virus in non-human primates 2023 · 96 citations
960+3+6Years since publication50100150200250

Peers

Laurent Chatel‐Chaix
Comparison fields: 5 of 77
  • Virology 271
  • Public Health, Environmental and Occupational Health 1k
  • Hepatology 189
  • Infectious Diseases 281
  • Immunology 270
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Citations per year

Countries citing papers authored by Laurent Chatel‐Chaix

Since Specialization
Citations

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

Fields of papers citing papers by Laurent Chatel‐Chaix

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laurent Chatel‐Chaix. 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 Laurent Chatel‐Chaix. The network helps show where Laurent Chatel‐Chaix may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Ultrastructural Characterization of Zika Virus Replication Factories
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2017282
2 2020259
3 2016232
4 2015202
5
A pan-serotype dengue virus inhibitor targeting the NS3–NS4B interaction
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2021146
6 2005128
7 2014115
8 2010107
9 2004103
10 2015102
11 200698
12
Blocking NS3–NS4B interaction inhibits dengue virus in non-human primates
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202396
13 201880
14 201567
15 201365
16 200861
17 201361
18 200755
19 201051
20 201348

About Laurent Chatel‐Chaix

Laurent Chatel‐Chaix is a scholar working on Public Health, Environmental and Occupational Health, Hepatology, Virology, Infectious Diseases and Immunology, having authored 47 papers that have together received 2.8k indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (23 papers), Hepatitis C virus research (7 papers), HIV Research and Treatment (5 papers), interferon and immune responses (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Mitochondrial Function and Pathology (3 papers), Computational Drug Discovery Methods (2 papers) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Virology (271 citations), Public Health, Environmental and Occupational Health (1k citations), Hepatology (189 citations), Infectious Diseases (281 citations) and Immunology (270 citations). Laurent Chatel‐Chaix has collaborated with scholars based in Canada, Germany and United States. Frequent co-authors include Ralf F. W. Bartenschlager, Mirko Cortese, Luc DesGroseillers, Andrew J. Mouland, Pietro Scaturro, Wolfgang Fischl, Daniel Lamarre, Martin Baril, Christopher John Neufeldt and Wesley Freppel. Their work appears in journals such as Journal of Virology, PLoS Pathogens, Cell Reports, Nature and Viruses.

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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