Mathieu Fréchin
Impact in
- Biophysics top 10%
- Cell Image Analysis Techniques
- Advanced Fluorescence Microscopy Techniques
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- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- Genomics and Phylogenetic Studies
- RNA Research and Splicing
- Lipid Membrane Structure and Behavior
Papers in
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- Cell Image Analysis Techniques 3
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- RNA and protein synthesis mechanisms 6
- RNA modifications and cancer 5
- Gene Regulatory Network Analysis 2
- RNA Research and Splicing 2
- Microbial Metabolic Engineering and Bioproduction 1
- Co-authors
- Hubert Dominique Becker (5 shared papers)Jeffrey M. Goodenbour (1 shared paper)Patrick A. Sandoz (1 shared paper)Gijs R. van den Brink (1 shared paper)Tao Pan (1 shared paper)Thomas Stoeger (2 shared papers)Lucas Pelkmans (2 shared papers)Stephan Daetwyler (1 shared paper)
- Journals
- Nucleic Acids Research (2 papers)Nature (1 paper)Cancer Immunology Research (1 paper)The EMBO Journal (1 paper)Nature Methods (1 paper)
- Partner nations
- FranceSwitzerlandUnited States
In The Last Decade
Mathieu Fréchin
13 papers receiving 405 citations
Peers
Comparison fields: 5 of 69
- Biophysics 48
- Molecular Biology 308
- Biochemistry 19
- Cell Biology 38
- Endocrinology 7
Countries citing papers authored by Mathieu Fréchin
This map shows the geographic impact of Mathieu Fréchin'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 Mathieu Fréchin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathieu Fréchin more than expected).
Fields of papers citing papers by Mathieu Fréchin
This network shows the impact of papers produced by Mathieu Fréchin. 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 Mathieu Fréchin. The network helps show where Mathieu Fréchin may publish in the future.
Co-authors
The 25 scholars most cited alongside Mathieu Fréchin, 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 | 2015 | 82 | |
| 2 | 2019 | 71 | |
| 3 | 2012 | 71 | |
| 4 | 2014 | 42 | |
| 5 | 2010 | 41 | |
| 6 | 2013 | 25 | |
| 7 | 2009 | 22 | |
| 8 | 2009 | 17 | |
| 9 | 2011 | 14 | |
| 10 | 2014 | 13 | |
| 11 | 2024 | 5 | |
| 12 | 2024 | 5 | |
| 13 | 2021 | 4 |
About Mathieu Fréchin
Mathieu Fréchin is a scholar working on Biophysics, Molecular Biology, Endocrine and Autonomic Systems, Media Technology and Atomic and Molecular Physics, and Optics, having authored 13 papers that have together received 412 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (6 papers), RNA modifications and cancer (5 papers), Cell Image Analysis Techniques (3 papers), Digital Holography and Microscopy (2 papers), Gene Regulatory Network Analysis (2 papers), RNA Research and Splicing (2 papers), Enzyme Structure and Function (2 papers) and Microbial Metabolic Engineering and Bioproduction (1 paper). The work is most often cited by research in Biophysics (48 citations), Molecular Biology (308 citations), Biochemistry (19 citations), Cell Biology (38 citations) and Endocrinology (7 citations). Mathieu Fréchin has collaborated with scholars based in France, Switzerland and United States. Frequent co-authors include Hubert Dominique Becker, Jeffrey M. Goodenbour, Patrick A. Sandoz, Gijs R. van den Brink, Tao Pan, Thomas Stoeger, Lucas Pelkmans, Stephan Daetwyler, Lilli Stergiou and Nico Battich. Their work appears in journals such as Nucleic Acids Research, Nature, Cancer Immunology Research, The EMBO Journal and Nature Methods.
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.