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
- Ubiquitin and proteasome pathways 2
- Fungal and yeast genetics research 2
- Cell death mechanisms and regulation 2
- Genomics, phytochemicals, and oxidative stress 2
- Oncology 4
- Co-authors
- Werner Lesslauer (2 shared papers)Jean‐Luc Mary (2 shared papers)Régine Losson (7 shared papers)Pierre Chambon (5 shared papers)Jean Da Silva (1 shared paper)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)Oncogene (2 papers)Nucleic Acids Research (2 papers)European Journal of Biochemistry (1 paper)
- Partner nations
- SwitzerlandFranceUnited States
In The Last Decade
Benoı̂t Pierrat
15 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 84
- Molecular Biology 1.0k
- Neurology 91
- Genetics 289
- Oncology 233
- Cancer Research 126
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 | 282 | |
| 2 | 2006 | 183 | |
| 3 | 1998 | 147 | |
| 4 | 1998 | 112 | |
| 5 | 2001 | 97 | |
| 6 | 2007 | 84 | |
| 7 | 1993 | 77 | |
| 8 | 1995 | 74 | |
| 9 | 1994 | 64 | |
| 10 | 1992 | 55 | |
| 11 | 1994 | 52 | |
| 12 | 2000 | 32 | |
| 13 | 1993 | 31 | |
| 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), Ubiquitin and proteasome pathways (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Fungal and yeast genetics research (2 papers), Cell death mechanisms and regulation (2 papers), Genomics, phytochemicals, and oxidative stress (2 papers) and Biotin and Related Studies (2 papers). The work is most often cited by research in Molecular Biology (1.0k citations), Neurology (91 citations), Genetics (289 citations), Oncology (233 citations) and Cancer Research (126 citations). Benoı̂t Pierrat has collaborated with scholars based in Switzerland, France and United States. Frequent co-authors include Werner Lesslauer, Jean‐Luc Mary, Régine Losson, Pierre Chambon, Jean Da Silva, David M. Heery, Jutta Heim, Jean da Silva Correia, Bernd Gerhartz and Susanne Worpenberg. Their work appears in journals such as Gene, Journal of Biological Chemistry, Oncogene, Nucleic Acids Research 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.