Mikaël Feracci
Impact in
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- Galectins and Cancer Biology
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- RNA Research and Splicing
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- Glycosylation and Glycoproteins Research
- Extracellular vesicles in disease
Papers in
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- RNA modifications and cancer 5
- RNA Research and Splicing 4
- RNA and protein synthesis mechanisms 3
- Ubiquitin and proteasome pathways 2
- Glycosylation and Glycoproteins Research 2
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- Hippo pathway signaling and YAP/TAZ 3
- Co-authors
- Cyril Dominguez (4 shared papers)Philippe Roche (5 shared papers)Françoise Guerlesquin (3 shared papers)Claudine Schiff (2 shared papers)Marion Espéli (2 shared papers)Laurent Hoffer (4 shared papers)Xavier Morelli (4 shared papers)S. Betzi (3 shared papers)
- Journals
- Nucleic Acids Research (2 papers)Molecular Oncology (1 paper)Methods (1 paper)Nature Communications (1 paper)IUCrJ (1 paper)
- Partner nations
- FranceUnited KingdomBelgium
In The Last Decade
Mikaël Feracci
15 papers receiving 247 citations
Peers
Comparison fields: 5 of 53
- Immunology 61
- Molecular Biology 189
- Cancer Research 32
- Genetics 10
- Computational Theory and Mathematics 16
Countries citing papers authored by Mikaël Feracci
This map shows the geographic impact of Mikaël Feracci'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 Mikaël Feracci with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mikaël Feracci more than expected).
Fields of papers citing papers by Mikaël Feracci
This network shows the impact of papers produced by Mikaël Feracci. 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 Mikaël Feracci. The network helps show where Mikaël Feracci may publish in the future.
Co-authors
The 25 scholars most cited alongside Mikaël Feracci, 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 | 2016 | 51 | |
| 2 | 2012 | 44 | |
| 3 | 2020 | 40 | |
| 4 | 2020 | 23 | |
| 5 | 2009 | 19 | |
| 6 | 2013 | 15 | |
| 7 | 2016 | 13 | |
| 8 | 2021 | 10 | |
| 9 | 2023 | 8 | |
| 10 | 2024 | 6 | |
| 11 | 2011 | 6 | |
| 12 | 2022 | 5 | |
| 13 | 2023 | 4 | |
| 14 | 2024 | 3 | |
| 15 | 2014 | 1 |
About Mikaël Feracci
Mikaël Feracci is a scholar working on Molecular Biology, Cell Biology, Infectious Diseases, Computational Theory and Mathematics and Immunology, having authored 15 papers that have together received 248 indexed citations. Recurring topics across this work include RNA modifications and cancer (5 papers), RNA Research and Splicing (4 papers), Hippo pathway signaling and YAP/TAZ (3 papers), RNA and protein synthesis mechanisms (3 papers), Ubiquitin and proteasome pathways (2 papers), Glycosylation and Glycoproteins Research (2 papers), Galectins and Cancer Biology (2 papers) and Toxin Mechanisms and Immunotoxins (2 papers). The work is most often cited by research in Immunology (61 citations), Molecular Biology (189 citations), Cancer Research (32 citations), Genetics (10 citations) and Computational Theory and Mathematics (16 citations). Mikaël Feracci has collaborated with scholars based in France, United Kingdom and Belgium. Frequent co-authors include Cyril Dominguez, Philippe Roche, Françoise Guerlesquin, Claudine Schiff, Marion Espéli, Laurent Hoffer, Xavier Morelli, S. Betzi, Olivier Bornet and Raphaël Leblanc. Their work appears in journals such as Nucleic Acids Research, Molecular Oncology, Methods, Nature Communications and IUCrJ.
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.