Antoine Muchir

6.4k citations
69 papers · 4.1k · h-index 33

Impact in

    • Nuclear Structure and Function
    • RNA Research and Splicing
    • Genomics and Chromatin Dynamics
    • RNA regulation and disease
    • Muscle Physiology and Disorders
    • Cellular Mechanics and Interactions

Papers in

    • Nuclear Structure and Function 56
    • RNA Research and Splicing 43
    • Muscle Physiology and Disorders 9
    • Genomics and Chromatin Dynamics 9
    • RNA regulation and disease 7
    • Cellular Mechanics and Interactions 12

Antoine Muchir

67 papers receiving 4.1k citations

Peers

Antoine Muchir
Comparison fields: 5 of 92
  • Molecular Biology 3.5k
  • Cell Biology 643
  • Cardiology and Cardiovascular Medicine 701
  • Developmental Biology 44
  • Genetics 174
Replace Charles Redwood with:
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Antoine Muchir relative to Charles Redwood United Kingdom Charles Redwood's profile →
Citations per field
00.5×10×14.7×
Charles Redwood · 1×
Citations per year

Countries citing papers authored by Antoine Muchir

Since Specialization
Citations

This map shows the geographic impact of Antoine Muchir'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 Antoine Muchir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antoine Muchir more than expected).

Fields of papers citing papers by Antoine Muchir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Antoine Muchir. 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 Antoine Muchir. The network helps show where Antoine Muchir may publish in the future.

Co-authors

The 25 scholars most cited alongside Antoine Muchir, 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 Antoine Muchir Line = papers co-authored together Antoine Muchir links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000479
2 2002406
3 2007246
4 2009202
5 2012171
6 2000171
7 2008150
8 2003150
9 2010140
10 2004140
11 2018132
12 2012110
13 2007105
14 201797
15 201180
16 201680
17 201179
18 201658
19 200558
20 201356

About Antoine Muchir

Antoine Muchir is a scholar working on Molecular Biology, Cell Biology, Cardiology and Cardiovascular Medicine, Genetics and Oncology, having authored 69 papers that have together received 4.1k indexed citations. Recurring topics across this work include Nuclear Structure and Function (56 papers), RNA Research and Splicing (43 papers), Cellular Mechanics and Interactions (12 papers), Muscle Physiology and Disorders (9 papers), Genomics and Chromatin Dynamics (9 papers), Cardiomyopathy and Myosin Studies (8 papers), RNA regulation and disease (7 papers) and PARP inhibition in cancer therapy (4 papers). The work is most often cited by research in Molecular Biology (3.5k citations), Cell Biology (643 citations), Cardiology and Cardiovascular Medicine (701 citations), Developmental Biology (44 citations) and Genetics (174 citations). Antoine Muchir has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Howard J. Worman, Gisèle Bonne, Wei Wu, Shunichi Homma, Shinichi Iwata, Paul Pavlidis, John Morrow, Loren G. Fong, Stephen G. Young and Takuro Arimura. Their work appears in journals such as Human Molecular Genetics, Skeletal Muscle, Biochemical and Biophysical Research Communications, Neurology and PLoS ONE.

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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