Yvan de Launoit
Impact in
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- Hormonal Regulation and Hypertension
- Hormonal and reproductive studies
- Cancer Research top 2%
Papers in
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- Hormonal Regulation and Hypertension 26
- Hormonal and reproductive studies 11
- Oncology 37
- Co-authors
- François Fuks (5 shared papers)Jacques Simard (20 shared papers)David Bernard (8 shared papers)Fernand Labrie (17 shared papers)Loı̈c Blanchon (2 shared papers)Didier Monté (23 shared papers)Carmen Brenner (5 shared papers)Rachel Deplus (4 shared papers)
In The Last Decade
Yvan de Launoit
163 papers receiving 8.7k citations
Yvan de Launoit's Hit Papers
Peers
Comparison fields: 5 of 132
- Endocrinology, Diabetes and Metabolism 1.3k
- Cancer Research 1.1k
- Molecular Biology 5.2k
- Virology 321
- Genetics 1.5k
Countries citing papers authored by Yvan de Launoit
This map shows the geographic impact of Yvan de Launoit'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 Yvan de Launoit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yvan de Launoit more than expected).
Fields of papers citing papers by Yvan de Launoit
This network shows the impact of papers produced by Yvan de Launoit. 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 Yvan de Launoit. The network helps show where Yvan de Launoit may publish in the future.
Co-authors
The 25 scholars most cited alongside Yvan de Launoit, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 164 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The Polycomb group protein EZH2 directly controls DNA methylation Hit paper breakdown → | 2005 | 1801 |
| 2 | 2004 | 348 | |
| 3 | 1991 | 317 | |
| 4 | 2006 | 238 | |
| 5 | 2009 | 214 | |
| 6 | 1995 | 199 | |
| 7 | 2014 | 188 | |
| 8 | 1990 | 183 | |
| 9 | 2002 | 176 | |
| 10 | 1991 | 168 | |
| 11 | 1996 | 143 | |
| 12 | 1997 | 131 | |
| 13 | 2009 | 116 | |
| 14 | 2002 | 108 | |
| 15 | 1998 | 101 | |
| 16 | 2006 | 101 | |
| 17 | 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 |
| 18 | 2010 | 99 | |
| 19 | 2006 | 97 | |
| 20 | 2009 | 96 |
About Yvan de Launoit
Yvan de Launoit is a scholar working on Endocrinology, Diabetes and Metabolism, Oncology, Molecular Biology, Genetics and Cell Biology, having authored 164 papers that have together received 8.9k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (26 papers), Estrogen and related hormone effects (24 papers), Aldose Reductase and Taurine (18 papers), Ubiquitin and proteasome pathways (11 papers), Cancer-related gene regulation (11 papers), Hormonal and reproductive studies (11 papers), Prostate Cancer Treatment and Research (11 papers) and Genomics and Chromatin Dynamics (10 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.3k citations), Cancer Research (1.1k citations), Molecular Biology (5.2k citations), Virology (321 citations) and Genetics (1.5k citations). Yvan de Launoit has collaborated with scholars based in France, Belgium and Canada. Frequent co-authors include François Fuks, Jacques Simard, David Bernard, Fernand Labrie, Loı̈c Blanchon, Didier Monté, Carmen Brenner, Rachel Deplus, Luciano Di Croce and Mario Fernández Fraga. Their work appears in journals such as Journal of Biological Chemistry, Oncogene, The Journal of Steroid Biochemistry and Molecular Biology, Biochemical and Biophysical Research Communications and Biochemical Journal.
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.