Florent Chuffart

878 citations
30 papers · 364 · h-index 12

Impact in

Papers in

    • Epigenetics and DNA Methylation 8
    • RNA modifications and cancer 6
    • Genomics and Chromatin Dynamics 5
    • Protein Degradation and Inhibitors 4
    • Cancer-related gene regulation 3
    • Bioinformatics and Genomic Networks 3
    • Ubiquitin and proteasome pathways 3

Florent Chuffart

27 papers receiving 362 citations

Peers

Florent Chuffart
Comparison fields: 5 of 75
  • Health, Toxicology and Mutagenesis 66
  • Cancer Research 47
  • Pediatrics, Perinatology and Child Health 59
  • Molecular Biology 202
  • Obstetrics and Gynecology 21
Replace Miao Liu with:
Miao Liu China
Sankha Subhra Das India
Dhiral Phadke United States
Su Dong China
Jingwen Liu China
Sang‐Mo Kwon South Korea
Valentina Tassinari Italy
Swati Dabral Germany
Leilei Tang China
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Citations per field
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Citations per year

Countries citing papers authored by Florent Chuffart

Since Specialization
Citations

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

Fields of papers citing papers by Florent Chuffart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201897
2 202146
3 201819
4 202218
5 202117
6 202115
7 202014
8 201713
9 202112
10 202012
11 202211
12 202211
13 202410
14 20228
15 20218
16 20207
17 20227
18 20227
19 20156
20 20165

About Florent Chuffart

Florent Chuffart is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Physiology, Immunology and Cardiology and Cardiovascular Medicine, having authored 30 papers that have together received 364 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (8 papers), RNA modifications and cancer (6 papers), Genomics and Chromatin Dynamics (5 papers), Protein Degradation and Inhibitors (4 papers), Cancer-related gene regulation (3 papers), Bioinformatics and Genomic Networks (3 papers), Ubiquitin and proteasome pathways (3 papers) and Acute Myeloid Leukemia Research (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (66 citations), Cancer Research (47 citations), Pediatrics, Perinatology and Child Health (59 citations), Molecular Biology (202 citations) and Obstetrics and Gynecology (21 citations). Florent Chuffart has collaborated with scholars based in France, United States and China. Frequent co-authors include Sophie Rousseaux, Saadi Khochbin, Ekaterina Bourova-Flin, Joel Schwartz, Anne Forhan, Daniel Vaiman, Tao Wang, Johanna Lepeule, Lydiane Agier and Jörg Tost. Their work appears in journals such as iScience, BMC Genomics, Cells, Frontiers of Medicine and British Journal of Cancer.

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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