Benoı̂t Pierrat

1.5k citations
15 papers · 1.3k indexed · h-index 15

Impact in

    • Ubiquitin and proteasome pathways
    • Retinoids in leukemia and cellular processes
    • Melanoma and MAPK Pathways
    • Genomics and Chromatin Dynamics
    • Protein Kinase Regulation and GTPase Signaling
  • Neurology top 10%
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

    • Retinoids in leukemia and cellular processes 3
    • Fungal and yeast genetics research 2
    • RNA Research and Splicing 2
    • RNA and protein synthesis mechanisms 2
    • Cytokine Signaling Pathways and Interactions 2

Benoı̂t Pierrat

15 papers receiving 1.3k citations

Peers

Benoı̂t Pierrat
Comparison fields: 5 of 83
  • Molecular Biology 1.0k
  • Neurology 94
  • Genetics 271
  • Cancer Research 132
  • Oncology 234
Replace Carol L. Sable with:
Carol L. Sable United States
Angelika Börsch-Haubold United Kingdom
Tracey L. Fisher United States
Mandy Kwong United States
Gabriele Rincke Germany
Boyd K. Carr United States
Ute Lehmann Germany
Rosalba D’Alessandro Italy
Atish Mukherjee United States
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Citations per field
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Citations per year

Countries citing papers authored by Benoı̂t Pierrat

Since Specialization
Citations

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

Fields of papers citing papers by Benoı̂t Pierrat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 1997276
2 2006179
3 1998144
4 1998110
5 200192
6 200783
7 199573
8 199372
9 199456
10 199254
11 199446
12 200031
13 199330
14 200229
15 200021

About Benoı̂t Pierrat

Benoı̂t Pierrat is a scholar working on Molecular Biology, Oncology, Cell Biology, Genetics and Physiology, having authored 15 papers that have together received 1.3k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (4 papers), Retinoids in leukemia and cellular processes (3 papers), Cytokine Signaling Pathways and Interactions (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Fungal and yeast genetics research (2 papers), RNA Research and Splicing (2 papers), Biotin and Related Studies (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Molecular Biology (1.0k citations), Neurology (94 citations), Genetics (271 citations), Cancer Research (132 citations) and Oncology (234 citations). Benoı̂t Pierrat has collaborated with scholars based in Switzerland, France and Morocco. Frequent co-authors include Jean‐Luc Mary, Werner Lesslauer, Régine Losson, Jean Da Silva, Pierre Chambon, David M. Heery, Jutta Heim, Jean da Silva Correia, Susanne Worpenberg and Bernd Gerhartz. Their work appears in journals such as Gene, Journal of Biological Chemistry, Nucleic Acids Research, Oncogene and European Journal of Biochemistry.

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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