Benoı̂t Pierrat
Impact in
- Molecular Biology top 10%
- 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
- Oncology 4
- Cytokine Signaling Pathways and Interactions 2
- Co-authors
- Jean‐Luc Mary (2 shared papers)Werner Lesslauer (2 shared papers)Régine Losson (7 shared papers)Jean Da Silva (1 shared paper)Pierre Chambon (5 shared papers)David M. Heery (4 shared papers)Jutta Heim (4 shared papers)Jean da Silva Correia (1 shared paper)
- Journals
- Gene (3 papers)Journal of Biological Chemistry (3 papers)Nucleic Acids Research (2 papers)Oncogene (2 papers)European Journal of Biochemistry (1 paper)
- Partner nations
- SwitzerlandFranceMorocco
In The Last Decade
Benoı̂t Pierrat
15 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 83
- Molecular Biology 1.0k
- Neurology 94
- Genetics 271
- Cancer Research 132
- Oncology 234
Countries citing papers authored by Benoı̂t Pierrat
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 276 | |
| 2 | 2006 | 179 | |
| 3 | 1998 | 144 | |
| 4 | 1998 | 110 | |
| 5 | 2001 | 92 | |
| 6 | 2007 | 83 | |
| 7 | 1995 | 73 | |
| 8 | 1993 | 72 | |
| 9 | 1994 | 56 | |
| 10 | 1992 | 54 | |
| 11 | 1994 | 46 | |
| 12 | 2000 | 31 | |
| 13 | 1993 | 30 | |
| 14 | 2002 | 29 | |
| 15 | 2000 | 21 |
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.