Benoit Laffont

1.3k citations
10 papers · 1.0k · h-index 9

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Hematology top 5%
    • Platelet Disorders and Treatments

Papers in

    • Extracellular vesicles in disease 5
    • RNA Research and Splicing 2
    • MicroRNA in disease regulation 6
    • Cancer-related molecular mechanisms research 6

Benoit Laffont

10 papers receiving 1.0k citations

Peers

Benoit Laffont
Comparison fields: 5 of 85
  • Cancer Research 448
  • Hematology 165
  • Molecular Biology 760
  • Immunology 193
  • Virology 33
Replace Ladislav Burýšek with:
Ladislav Burýšek Czechia
Matthieu Rousseau Canada
M Möhler United States
Marìa Albertina Romaniuk Argentina
Ariel M. Rubinstein Israel
Dorina Roem Netherlands
Issaka Yougbaré Canada
Morten Nørgaard Andersen Denmark
Claudio Fiocchi United States
Riku Das United States
Benoit Laffont relative to Ladislav Burýšek Czechia Ladislav Burýšek's profile →
Citations per field
00.5×3.1×
Ladislav Burýšek · 1×
Citations per year

Countries citing papers authored by Benoit Laffont

Since Specialization
Citations

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

Fields of papers citing papers by Benoit Laffont

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2013336
2 2015194
3 2016173
4 2017122
5 201573
6 201456
7 202052
8 201513
9 202111
10 20224

About Benoit Laffont

Benoit Laffont is a scholar working on Molecular Biology, Cancer Research, Infectious Diseases, Virology and Epidemiology, having authored 10 papers that have together received 1.0k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (6 papers), Cancer-related molecular mechanisms research (6 papers), Extracellular vesicles in disease (5 papers), Viral Infections and Outbreaks Research (2 papers), RNA Research and Splicing (2 papers), Hepatitis B Virus Studies (1 paper), HIV Research and Treatment (1 paper) and Rabies epidemiology and control (1 paper). The work is most often cited by research in Cancer Research (448 citations), Hematology (165 citations), Molecular Biology (760 citations), Immunology (193 citations) and Virology (33 citations). Benoit Laffont has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Patrick Provost, Éric Boilard, Katey J. Rayner, Nathalie Cloutier, Anne‐Claire Duchez, Caroline Gilbert, Abderrahim Benmoussa, Jonathan Laugier, Patricia Savard and Ismaı̈l Fliss. Their work appears in journals such as JAIDS Journal of Acquired Immune Deficiency Syndromes, Canadian Journal of Cardiology, Regulatory Toxicology and Pharmacology, International Journal of Molecular Sciences and Thrombosis and Haemostasis.

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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