Benoı̂t Arveiler

157 papers receiving 3.8k citations

Peers

Benoı̂t Arveiler
Comparison fields: 5 of 120
  • Cell Biology 907
  • Developmental Biology 113
  • Genetics 1.3k
  • Sensory Systems 136
  • Molecular Biology 1.9k
Replace Annick Raas‐Rothschild with:
Annick Raas‐Rothschild Israel
E. Bryan Crenshaw United States
Stacie K. Loftus United States
Laura A. Hansen United States
John Tolmie United Kingdom
Nathalie Drouot France
Hans G. Dauwerse Netherlands
Ghislaine Hamard France
Stéphane Schurmans Belgium
Yoshinori Tsurusaki Japan
Benoı̂t Arveiler relative to Annick Raas‐Rothschild Israel Annick Raas‐Rothschild's profile →
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Citations per year

Countries citing papers authored by Benoı̂t Arveiler

Since Specialization
Citations

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

Fields of papers citing papers by Benoı̂t Arveiler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 161 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007185
2 2013173
3 2001168
4 2014136
5 2010132
6 2011122
7 2007121
8 2018111
9 198788
10 200883
11 201082
12 201178
13 200572
14 200659
15 202059
16 198754
17 198753
18 200051
19 198950
20 198950

About Benoı̂t Arveiler

Benoı̂t Arveiler is a scholar working on Cell Biology, Genetics, Molecular Biology, Developmental Biology and Nutrition and Dietetics, having authored 161 papers that have together received 3.9k indexed citations. Recurring topics across this work include melanin and skin pigmentation (43 papers), RNA regulation and disease (25 papers), Genomic variations and chromosomal abnormalities (24 papers), Biochemical Analysis and Sensing Techniques (18 papers), Genetics and Neurodevelopmental Disorders (15 papers), Congenital limb and hand anomalies (13 papers), Retinal Development and Disorders (11 papers) and Chromosomal and Genetic Variations (7 papers). The work is most often cited by research in Cell Biology (907 citations), Developmental Biology (113 citations), Genetics (1.3k citations), Sensory Systems (136 citations) and Molecular Biology (1.9k citations). Benoı̂t Arveiler has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Didier Lacombe, Caroline Rooryck, Jean‐Louis Mandel, Fanny Morice-Picard, Eulalie Lasseaux, Cyril Goizet, David John Porteous, Claudio Plaisant, Dorothée Cailley and Vincent Michaud. Their work appears in journals such as European Journal of Medical Genetics, Pigment Cell & Melanoma Research, Human Genetics, European Journal of Human Genetics and Genomics.

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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