A. Dautigny

1.3k citations
31 papers · 1.0k · h-index 16

Impact in

Papers in

    • RNA Research and Splicing 7
    • Glycosylation and Glycoproteins Research 7
    • RNA regulation and disease 6
    • RNA and protein synthesis mechanisms 3

A. Dautigny

31 papers receiving 997 citations

Peers

A. Dautigny
Comparison fields: 5 of 86
  • Developmental Neuroscience 203
  • Neurology 117
  • Cellular and Molecular Neuroscience 209
  • Molecular Biology 626
  • Immunology 164
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Citations per field
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Citations per year

Countries citing papers authored by A. Dautigny

Since Specialization
Citations

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

Fields of papers citing papers by A. Dautigny

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993172
2 1986128
3 200474
4 199970
5 198658
6 198955
7 197555
8 198654
9 199154
10
Genetic homogeneity of Pelizaeus-Merzbacher disease: tight linkage to the proteolipoprotein locus in 16 affected families. PMD Clinical Group.
199450
11 198945
12 199142
13 198833
14 199619
15 198816
16 199716
17 197314
18 198012
19 199110
20 198310

About A. Dautigny

A. Dautigny is a scholar working on Molecular Biology, Immunology, Developmental Neuroscience, Hematology and Genetics, having authored 31 papers that have together received 1.0k indexed citations. Recurring topics across this work include RNA Research and Splicing (7 papers), Glycosylation and Glycoproteins Research (7 papers), RNA regulation and disease (6 papers), Neurogenesis and neuroplasticity mechanisms (6 papers), Platelet Disorders and Treatments (4 papers), Skin and Cellular Biology Research (3 papers), Chronic Lymphocytic Leukemia Research (3 papers) and RNA and protein synthesis mechanisms (3 papers). The work is most often cited by research in Developmental Neuroscience (203 citations), Neurology (117 citations), Cellular and Molecular Neuroscience (209 citations), Molecular Biology (626 citations) and Immunology (164 citations). A. Dautigny has collaborated with scholars based in France, United States and Canada. Frequent co-authors include Danielle Pham-Dinh, P. Jollès, Marie‐Geneviève Mattéi, J.L. Nussbaum, Odile Boespflug‐Tanguy, D. Morello, Patrick M. Alliel, J. F. Mattéi, Diana Rodriguez and J Colombani. Their work appears in journals such as Human Genetics, Proceedings of the National Academy of Sciences, FEBS Letters, Biochimica et Biophysica Acta (BBA) - Biomembranes and Cellular and Molecular Life Sciences.

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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