J.-L. Baert
Impact in
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- Environmental Toxicology and Ecotoxicology
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- Ubiquitin and proteasome pathways
- Cancer-related gene regulation
- Protein Degradation and Inhibitors
Papers in
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- Environmental Toxicology and Ecotoxicology 5
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- Heavy metals in environment 3
- Co-authors
- Yvan de Launoit (4 shared papers)Didier Monté (4 shared papers)Ralf Janknecht (1 shared paper)Pierre‐Antoine Defossez (1 shared paper)Dominique Stéhelin (1 shared paper)Marie‐Christine Slomianny (1 shared paper)Cindy Degerny (3 shared papers)N. Dhainaut-Courtois (3 shared papers)
- Journals
- Oncogene (3 papers)PubMed (2 papers)Comparative Biochemistry and Physiology Part B Comparative Biochemistry (4 papers)Comparative Biochemistry and Physiology Part C Comparative Pharmacology (2 papers)
In The Last Decade
J.-L. Baert
11 papers receiving 353 citations
Peers
Comparison fields: 5 of 67
- Health, Toxicology and Mutagenesis 45
- Molecular Biology 215
- Oncology 75
- Cancer Research 39
- Pollution 24
Countries citing papers authored by J.-L. Baert
This map shows the geographic impact of J.-L. Baert'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 J.-L. Baert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J.-L. Baert more than expected).
Fields of papers citing papers by J.-L. Baert
This network shows the impact of papers produced by J.-L. Baert. 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 J.-L. Baert. The network helps show where J.-L. Baert may publish in the future.
Co-authors
The 25 scholars most cited alongside J.-L. Baert, 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 | Molecular cloning and characterization of human ERM, a new member of the Ets family closely related to mouse PEA3 and ER81 transcription factors. | 1994 | 100 |
| 2 | The ETS-related transcription factor ERM is a nuclear target of signaling cascades involving MAPK and PKA. | 1996 | 78 |
| 3 | 2006 | 47 | |
| 4 | 2010 | 42 | |
| 5 | 1988 | 35 | |
| 6 | 1987 | 32 | |
| 7 | 2006 | 17 | |
| 8 | 1992 | 13 | |
| 9 | 1989 | 4 | |
| 10 | 1992 | 3 | |
| 11 | 1992 | 1 |
About J.-L. Baert
J.-L. Baert is a scholar working on Health, Toxicology and Mutagenesis, Pollution, Nutrition and Dietetics, Molecular Biology and Oncology, having authored 11 papers that have together received 372 indexed citations. Recurring topics across this work include Environmental Toxicology and Ecotoxicology (5 papers), Ubiquitin and proteasome pathways (4 papers), Trace Elements in Health (3 papers), Heavy metals in environment (3 papers), Protein Degradation and Inhibitors (2 papers), Peptidase Inhibition and Analysis (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Insect and Arachnid Ecology and Behavior (1 paper). The work is most often cited by research in Health, Toxicology and Mutagenesis (45 citations), Molecular Biology (215 citations), Oncology (75 citations), Cancer Research (39 citations) and Pollution (24 citations). J.-L. Baert has collaborated with scholars based in France, Morocco and Germany. Frequent co-authors include Yvan de Launoit, Didier Monté, Ralf Janknecht, Pierre‐Antoine Defossez, Dominique Stéhelin, Marie‐Christine Slomianny, Cindy Degerny, N. Dhainaut-Courtois, Ahmed Nejmeddine and Pierre-Eric Sautière. Their work appears in journals such as Oncogene, PubMed, Comparative Biochemistry and Physiology Part B Comparative Biochemistry and Comparative Biochemistry and Physiology Part C Comparative Pharmacology.
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.