Gaétan Bour

401 citations
7 papers · 326 indexed · h-index 7

Impact in

    • Antioxidant Activity and Oxidative Stress
    • Estrogen and related hormone effects
    • Genomic variations and chromosomal abnormalities

Papers in

    • Retinoids in leukemia and cellular processes 6
    • Ubiquitin and proteasome pathways 2
    • Protein Degradation and Inhibitors 1
    • Genomics and Chromatin Dynamics 1
    • Estrogen and related hormone effects 3

Gaétan Bour

7 papers receiving 321 citations

Peers

Gaétan Bour
Comparison fields: 5 of 54
  • Biochemistry 32
  • Genetics 129
  • Molecular Biology 272
  • Hematology 26
  • Immunology 47
Replace Jaya Iyer with:
Jaya Iyer United States
Stephanie Everingham Canada
Amandine Chatagnon France
Jean‐Michel Bernardon France
Andy D.J. Pearson United Kingdom
Fabien Zassadowski France
Sylvia Urban Germany
Franck Brunel France
Tracy M. Covey United States
Xi-Qiang Shen United States
Gaétan Bour relative to Jaya Iyer United States Jaya Iyer's profile →
Citations per field
00.5×1.5×
Jaya Iyer · 1×
Citations per year

Countries citing papers authored by Gaétan Bour

Since Specialization
Citations

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

Fields of papers citing papers by Gaétan Bour

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Gaétan Bour, 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 Gaétan Bour Line = papers co-authored together Gaétan Bour links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1
Amplicon mapping and transcriptional analysis pinpoint cyclin L as a candidate oncogene in head and neck cancer.
200263
2 200662
3 200757
4 200542
5 200541
6 200538
7 201023

About Gaétan Bour

Gaétan Bour is a scholar working on Molecular Biology, Genetics, Immunology, Cellular and Molecular Neuroscience and Oncology, having authored 7 papers that have together received 326 indexed citations. Recurring topics across this work include Retinoids in leukemia and cellular processes (6 papers), Estrogen and related hormone effects (3 papers), interferon and immune responses (2 papers), Ubiquitin and proteasome pathways (2 papers), NF-κB Signaling Pathways (1 paper), Protein Degradation and Inhibitors (1 paper), Genomics and Chromatin Dynamics (1 paper) and Cancer-related Molecular Pathways (1 paper). The work is most often cited by research in Biochemistry (32 citations), Genetics (129 citations), Molecular Biology (272 citations), Hematology (26 citations) and Immunology (47 citations). Gaétan Bour has collaborated with scholars based in France. Frequent co-authors include Cécile Rochette‐Egly, Sébastien Lalevée, Jean‐Luc Plassat, Joseph Abecassis, Richard Redon, Stanislas du Manoir, Bernard Jost, Thomas Hussenet, Danièle Muller and Yann Brélivet. Their work appears in journals such as Proceedings of the National Academy of Sciences, The FASEB Journal, Cellular Signalling, Trends in Cell Biology and Journal of Biological Chemistry.

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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