Mathieu Fréchin

614 citations
14 papers · 454 · h-index 11

Impact in

  • Biophysics top 10%
    • Cell Image Analysis Techniques
    • RNA and protein synthesis mechanisms
    • RNA modifications and cancer
    • Genomics and Phylogenetic Studies
    • RNA Research and Splicing
    • Mitochondrial Function and Pathology

Papers in

    • RNA and protein synthesis mechanisms 7
    • RNA modifications and cancer 6
    • RNA Research and Splicing 3
    • Gene Regulatory Network Analysis 2
    • Cell Image Analysis Techniques 3

Mathieu Fréchin

14 papers receiving 444 citations

Peers

Mathieu Fréchin
Comparison fields: 5 of 71
  • Biophysics 43
  • Molecular Biology 360
  • Biochemistry 18
  • Cell Biology 40
  • Aging 3
Replace Silvia Scolari with:
Silvia Scolari Germany
Samantha S. Stadmiller United States
Joseph D. Unsay Germany
Vasileios Rantos Germany
Christiaan M. Punter Netherlands
Tom Barman France
Lasse Staby Denmark
Ameya P. Jalihal United States
Roelof W. Wijnaendts-Van-Resandt Germany
Micayla A. Bowman United States
Mathieu Fréchin relative to Silvia Scolari Germany Silvia Scolari's profile →
Citations per field
00.5×3.3×
Silvia Scolari · 1×
Citations per year

Countries citing papers authored by Mathieu Fréchin

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Mathieu Fréchin Line = papers co-authored together Mathieu Fréchin links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 201577
2 201270
3 200968
4 201965
5 201040
6 201438
7 201325
8 200919
9 200916
10 201114
11 201412
12 20214
13 20243
14 20243

About Mathieu Fréchin

Mathieu Fréchin is a scholar working on Molecular Biology, Biophysics, Atomic and Molecular Physics, and Optics, Materials Chemistry and Endocrine and Autonomic Systems, having authored 14 papers that have together received 454 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (7 papers), RNA modifications and cancer (6 papers), Cell Image Analysis Techniques (3 papers), RNA Research and Splicing (3 papers), Digital Holography and Microscopy (2 papers), Enzyme Structure and Function (2 papers), Gene Regulatory Network Analysis (2 papers) and interferon and immune responses (1 paper). The work is most often cited by research in Biophysics (43 citations), Molecular Biology (360 citations), Biochemistry (18 citations), Cell Biology (40 citations) and Aging (3 citations). Mathieu Fréchin has collaborated with scholars based in France, Switzerland and United States. Frequent co-authors include H. D. Becker, Daniel Kern, Bruno Senger, Tao Pan, Jeffrey M. Goodenbour, Robert P. Martin, Gijs R. van den Brink, Patrick A. Sandoz, Thomas Stoeger and Lucas Pelkmans. Their work appears in journals such as Nucleic Acids Research, Genes & Development, The EMBO Journal, PLoS Biology 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.

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