Josée Hébert

5.7k citations
94 papers · 3.2k · h-index 34

Impact in

  • Hematology top 1%
    • Acute Myeloid Leukemia Research
    • Epigenetics and DNA Methylation
    • Cancer-related gene regulation
    • Protein Degradation and Inhibitors
    • Histone Deacetylase Inhibitors Research
    • RNA modifications and cancer
    • Genomics and Chromatin Dynamics

Papers in

    • Protein Degradation and Inhibitors 21
    • Epigenetics and DNA Methylation 13
    • Genomics and Chromatin Dynamics 10
    • Ubiquitin and proteasome pathways 6
    • Retinoids in leukemia and cellular processes 6
    • Acute Myeloid Leukemia Research 51

Josée Hébert

90 papers receiving 3.2k citations

Peers

Josée Hébert
Comparison fields: 5 of 98
  • Hematology 920
  • Molecular Biology 2.1k
  • Cancer Research 338
  • Genetics 236
  • Immunology 410
Replace John E. Pimanda with:
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Josée Hébert relative to John E. Pimanda Australia John E. Pimanda's profile →
Citations per field
00.5×1.5×2.3×
John E. Pimanda · 1×
Citations per year

Countries citing papers authored by Josée Hébert

Since Specialization
Citations

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

Fields of papers citing papers by Josée Hébert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013263
2 2012199
3 2009167
4 2014119
5 2016118
6 201693
7 201092
8 200790
9 201290
10 201587
11 201485
12 201482
13 201179
14 201674
15 201968
16 201067
17 201662
18 201159
19 201755
20 202055

About Josée Hébert

Josée Hébert is a scholar working on Molecular Biology, Hematology, Oncology, Genetics and Immunology, having authored 94 papers that have together received 3.2k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (51 papers), Protein Degradation and Inhibitors (21 papers), Epigenetics and DNA Methylation (13 papers), Genomics and Chromatin Dynamics (10 papers), Acute Lymphoblastic Leukemia research (9 papers), Cancer Genomics and Diagnostics (7 papers), Ubiquitin and proteasome pathways (6 papers) and Retinoids in leukemia and cellular processes (6 papers). The work is most often cited by research in Hematology (920 citations), Molecular Biology (2.1k citations), Cancer Research (338 citations), Genetics (236 citations) and Immunology (410 citations). Josée Hébert has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Guy Sauvageau, Sébastien Lemieux, Geneviève Boucher, Vincent‐Philippe Lavallée, Jana Krošl, Caroline Pabst, Brian T. Wilhelm, Jalila Chagraoui, Zhenbao Yu and Stéphane Richard. Their work appears in journals such as Blood, Genes Chromosomes and Cancer, Leukemia, Blood Advances and Genes & Development.

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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