Jean‐François Lucier

2.8k citations
34 papers · 2.0k indexed · h-index 19
    • RNA and protein synthesis mechanisms 16
    • RNA modifications and cancer 11
    • RNA Research and Splicing 10
    • Genomics and Phylogenetic Studies 5
    • Machine Learning in Bioinformatics 3
    • Molecular Biology Techniques and Applications 2
    • Plant-Microbe Interactions and Immunity 4
  • Spectroscopy top 10%
    • Advanced Proteomics Techniques and Applications 2

Jean‐François Lucier

33 papers receiving 2.0k citations

Peers

Jean‐François Lucier
Comparison fields: 5 of 104
  • Molecular Biology 1.6k
  • Cancer Research 218
  • Plant Science 336
  • Aging 10
  • Spectroscopy 92
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Citations per field
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Citations per year

Countries citing papers authored by Jean‐François Lucier

Since Specialization
Citations

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

Fields of papers citing papers by Jean‐François Lucier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean‐François Lucier. 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 Jean‐François Lucier. The network helps show where Jean‐François Lucier may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20243
3 20243
4 202316
5 20234
6 20239
7 202211
8 20218
9 20167
10 2013154
11 201351
12 201193
13 2011102
14 200970
15 200981
16 2008140
17 2008126
18 20078
19 200538
20 2004104

About Jean‐François Lucier

Jean‐François Lucier is a scholar working on Molecular Biology, Developmental Neuroscience, Agronomy and Crop Science, Plant Science and Infectious Diseases, having authored 34 papers that have together received 2.0k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (16 papers), RNA modifications and cancer (11 papers), RNA Research and Splicing (10 papers), Genomics and Phylogenetic Studies (5 papers), Plant-Microbe Interactions and Immunity (4 papers), Machine Learning in Bioinformatics (3 papers), Advanced Proteomics Techniques and Applications (2 papers) and Molecular Biology Techniques and Applications (2 papers). The work is most often cited by research in Molecular Biology (1.6k citations), Cancer Research (218 citations), Plant Science (336 citations), Aging (10 citations) and Spectroscopy (92 citations). Jean‐François Lucier has collaborated with scholars based in Canada, France and United States. Frequent co-authors include Sherif Abou Elela, Mathieu Durand, Benoı̂t Chabot, Elvy Lapointe, Raymund J. Wellinger, Xavier Roucou, Julien Gervais-Bird, Karine Tremblay, Roscoe Klinck and Panagiotis Prinos. Their work appears in journals such as Nucleic Acids Research, RNA, Nature Structural & Molecular Biology, Cancer Research and PLoS ONE.

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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