Danielle Arnaud

2.4k citations
19 papers · 2.0k indexed · h-index 14
  • Genetics top 2%
    • Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 10
    • Animal Genetics and Reproduction 4
    • CRISPR and Genetic Engineering 5
    • Epigenetics and DNA Methylation 3
    • Glycosylation and Glycoproteins Research 2
    • Renal and related cancers 2
    • RNA Interference and Gene Delivery 2
    • Chromosomal and Genetic Variations 4

Danielle Arnaud

19 papers receiving 1.9k citations

Peers

Danielle Arnaud
Comparison fields: 5 of 70
  • Genetics 1.0k
  • Molecular Biology 1.7k
  • Cancer Research 239
  • Plant Science 209
  • Immunology 105
Replace Judith Singer–Sam with:
Judith Singer–Sam United States
Veronica McCabe United Kingdom
M. Dominguez-Steglich Germany
Carl Costanzi United States
Ruth Appanah United Kingdom
Mark T. Ross United Kingdom
Hélène Royo United Kingdom
Yigong Xing United States
R T Bronson United States
Ercole Rao Germany
Danielle Arnaud relative to Judith Singer–Sam United States Judith Singer–Sam's profile →
Citations per field
00.5×8.8×
Judith Singer–Sam · 1×
Citations per year

Countries citing papers authored by Danielle Arnaud

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Arnaud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

19 of 19 papers shown
#Work
1 20157
2 201324
3 2005145
4 2005331
5 2001404
6 199963
7 1999104
8 199962
9 199829
10 199823
11 199516
12 199114
13 1991455
14 19885
15 198863
16 19877
17 198713
18 1984184
19 19804

About Danielle Arnaud

Danielle Arnaud is a scholar working on Genetics, Molecular Biology, Reproductive Medicine, Oncology and Plant Science, having authored 19 papers that have together received 2.0k indexed citations. Recurring topics across this work include Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (10 papers), CRISPR and Genetic Engineering (5 papers), Chromosomal and Genetic Variations (4 papers), Animal Genetics and Reproduction (4 papers), Epigenetics and DNA Methylation (3 papers), Glycosylation and Glycoproteins Research (2 papers), Renal and related cancers (2 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Genetics (1.0k citations), Molecular Biology (1.7k citations), Cancer Research (239 citations), Plant Science (209 citations) and Immunology (105 citations). Danielle Arnaud has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Édith Heard, Philip Avner, Philip Avner, Claire Rougeulle, C. David Allis, David L. Spector, Ikuhiro Okamoto, Luisa Dandolo, Corinne Chureau and Ivan Damjanov. Their work appears in journals such as Nature, Development, Genomics, Stem Cells and Genetics Research.

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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