Mikaël Feracci
Impact in
-
- Galectins and Cancer Biology
-
- RNA Research and Splicing
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- Glycosylation and Glycoproteins Research
- Extracellular vesicles in disease
Papers in
-
- RNA modifications and cancer 5
- RNA Research and Splicing 4
- RNA and protein synthesis mechanisms 3
- Advanced biosensing and bioanalysis techniques 2
-
- 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)European Journal of Medicinal Chemistry (1 paper)Molecular Oncology (1 paper)IUCrJ (1 paper)PLoS Biology (1 paper)
- Partner nations
- FranceUnited KingdomUnited States
In The Last Decade
Mikaël Feracci
15 papers receiving 237 citations
Peers
Comparison fields: 5 of 53
- Immunology 66
- Molecular Biology 195
- Cancer Research 31
- Computational Theory and Mathematics 15
- Genetics 10
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 | 50 | |
| 2 | 2012 | 44 | |
| 3 | 2020 | 39 | |
| 4 | 2020 | 22 | |
| 5 | 2009 | 19 | |
| 6 | 2013 | 15 | |
| 7 | 2016 | 13 | |
| 8 | 2021 | 9 | |
| 9 | 2023 | 6 | |
| 10 | 2011 | 6 | |
| 11 | 2022 | 4 | |
| 12 | 2023 | 4 | |
| 13 | 2024 | 3 | |
| 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 238 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), Advanced biosensing and bioanalysis techniques (2 papers), Computational Drug Discovery Methods (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 (66 citations), Molecular Biology (195 citations), Cancer Research (31 citations), Computational Theory and Mathematics (15 citations) and Genetics (10 citations). Mikaël Feracci has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Cyril Dominguez, Philippe Roche, Françoise Guerlesquin, Claudine Schiff, Marion Espéli, Laurent Hoffer, Xavier Morelli, S. Betzi, Olivier Bornet and Laurent Gauthier. Their work appears in journals such as Nucleic Acids Research, European Journal of Medicinal Chemistry, Molecular Oncology, IUCrJ and PLoS Biology.
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.