Michaël Perrais
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Transplantation top 10%
Papers in
-
- Glycosylation and Glycoproteins Research 12
- Circular RNAs in diseases 4
- RNA modifications and cancer 4
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- MicroRNA in disease regulation 7
- Cancer, Hypoxia, and Metabolism 3
- Cancer Genomics and Diagnostics 3
- Co-authors
- Isabelle Van Seuningen (20 shared papers)Pascal Pigny (11 shared papers)Jean‐Pierre Aubert (7 shared papers)Christelle Cauffiez (21 shared papers)Nicolas Pottier (20 shared papers)Sébastien Aubert (13 shared papers)Marie‐Christine Copin (4 shared papers)Barry M. Gumbiner (1 shared paper)
- Journals
- Biochemical Journal (4 papers)Journal of Biological Chemistry (3 papers)PLoS ONE (2 papers)Cancers (2 papers)Oncotarget (2 papers)
- Partner nations
- FranceUnited StatesJapan
In The Last Decade
Michaël Perrais
38 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 102
- Cancer Research 319
- Transplantation 39
- Nephrology 104
- Molecular Biology 1.1k
- Oncology 338
Countries citing papers authored by Michaël Perrais
This map shows the geographic impact of Michaël Perrais'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 Michaël Perrais with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michaël Perrais more than expected).
Fields of papers citing papers by Michaël Perrais
This network shows the impact of papers produced by Michaël Perrais. 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 Michaël Perrais. The network helps show where Michaël Perrais may publish in the future.
Co-authors
The 25 scholars most cited alongside Michaël Perrais, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 241 | |
| 2 | 2007 | 177 | |
| 3 | 2013 | 171 | |
| 4 | 2007 | 101 | |
| 5 | 2009 | 96 | |
| 6 | 2000 | 80 | |
| 7 | 2014 | 74 | |
| 8 | 2001 | 73 | |
| 9 | 2014 | 71 | |
| 10 | 2001 | 69 | |
| 11 | 2013 | 68 | |
| 12 | 2013 | 52 | |
| 13 | 2004 | 50 | |
| 14 | 2004 | 45 | |
| 15 | 2017 | 45 | |
| 16 | 2013 | 36 | |
| 17 | 2014 | 31 | |
| 18 | 2014 | 29 | |
| 19 | 2018 | 28 | |
| 20 | 2014 | 25 |
About Michaël Perrais
Michaël Perrais is a scholar working on Molecular Biology, Cancer Research, Oncology, Pulmonary and Respiratory Medicine and Organic Chemistry, having authored 39 papers that have together received 1.8k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (12 papers), MicroRNA in disease regulation (7 papers), Pancreatic and Hepatic Oncology Research (5 papers), Circular RNAs in diseases (4 papers), RNA modifications and cancer (4 papers), Cancer, Hypoxia, and Metabolism (3 papers), Cancer Genomics and Diagnostics (3 papers) and Renal Transplantation Outcomes and Treatments (3 papers). The work is most often cited by research in Cancer Research (319 citations), Transplantation (39 citations), Nephrology (104 citations), Molecular Biology (1.1k citations) and Oncology (338 citations). Michaël Perrais has collaborated with scholars based in France, United States and Japan. Frequent co-authors include Isabelle Van Seuningen, Pascal Pigny, Jean‐Pierre Aubert, Christelle Cauffiez, Nicolas Pottier, Sébastien Aubert, Marie‐Christine Copin, Barry M. Gumbiner, Mirna Pérez‐Moreno and François Glowacki. Their work appears in journals such as Biochemical Journal, Journal of Biological Chemistry, PLoS ONE, Cancers and Oncotarget.
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.