David Tuil

1.8k citations
34 papers · 1.6k · h-index 19

Impact in

Papers in

    • Muscle Physiology and Disorders 12
    • RNA Research and Splicing 6
    • Viral Infectious Diseases and Gene Expression in Insects 3
    • Mitochondrial Function and Pathology 3
    • Ubiquitin and proteasome pathways 2
    • Hemoglobinopathies and Related Disorders 3

David Tuil

34 papers receiving 1.6k citations

Peers

David Tuil
Comparison fields: 5 of 82
  • Developmental Neuroscience 84
  • Aging 32
  • Molecular Biology 1.1k
  • Genetics 124
  • Cell Biology 195
Replace Florence Botteri with:
Florence Botteri Switzerland
Brad A. Bryan United States
Michiko Hayasaka Japan
Katsuhiro Kato Japan
Mitsuharu Endo Japan
Patrick E. Burnett United States
Konstantin Adamsky Israel
Josema Torres Spain
Jong-Sun Kang South Korea
Chinmay M. Trivedi United States
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Citations per field
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Citations per year

Countries citing papers authored by David Tuil

Since Specialization
Citations

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

Fields of papers citing papers by David Tuil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1985205
2 2004170
3 2005144
4 1984126
5 2012112
6 1998111
7 199690
8 200673
9 199669
10 200863
11 198862
12 198759
13 200250
14 199046
15 201242
16 198636
17 200330
18 201021
19 200818
20 199616

About David Tuil

David Tuil is a scholar working on Molecular Biology, Genetics, Genetics, Cellular and Molecular Neuroscience and Cell Biology, having authored 34 papers that have together received 1.6k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (12 papers), RNA Research and Splicing (6 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), Hemoglobinopathies and Related Disorders (3 papers), Mitochondrial Function and Pathology (3 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Ubiquitin and proteasome pathways (2 papers) and Muscle metabolism and nutrition (2 papers). The work is most often cited by research in Developmental Neuroscience (84 citations), Aging (32 citations), Molecular Biology (1.1k citations), Genetics (124 citations) and Cell Biology (195 citations). David Tuil has collaborated with scholars based in France, United Kingdom and Switzerland. Frequent co-authors include Mariano J. Levin, Dominique Daegelen, A Kahn, Axel Kahn, Bertrand Bloch, T. Popovici, Denise Paulin, Zhenlin Li, Ara Parlakian and Danièle Hentzen. Their work appears in journals such as Molecular and Cellular Biology, Biochemical and Biophysical Research Communications, Biochimie, Molecular Biology of the Cell and Clinica Chimica Acta.

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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