Danielle Arnaud
Impact in
- Genetics top 2%
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities
- Animal Genetics and Reproduction
- Genetics and Neurodevelopmental Disorders
- Molecular Biology top 5%
- CRISPR and Genetic Engineering
- Pluripotent Stem Cells Research
- Genomics and Chromatin Dynamics
- Epigenetics and DNA Methylation
Papers in
-
- CRISPR and Genetic Engineering 5
- Epigenetics and DNA Methylation 2
- Glycosylation and Glycoproteins Research 2
- RNA Interference and Gene Delivery 2
- Renal and related cancers 2
- Genetics 12
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 10
- Animal Genetics and Reproduction 4
- Co-authors
- Édith Heard (7 shared papers)Philip Avner (13 shared papers)Philip Avner (4 shared papers)David L. Spector (1 shared paper)C. David Allis (1 shared paper)Claire Rougeulle (1 shared paper)Ikuhiro Okamoto (2 shared papers)Luisa Dandolo (2 shared papers)
- Journals
- Genomics (2 papers)Development (2 papers)Nature (2 papers)Mammalian Genome (1 paper)Developmental Biology (1 paper)
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Danielle Arnaud
19 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 71
- Genetics 1.0k
- Molecular Biology 1.7k
- Cancer Research 247
- Plant Science 213
- Reproductive Medicine 42
Countries citing papers authored by Danielle Arnaud
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
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-authors
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1991 | 474 | |
| 2 | 2001 | 422 | |
| 3 | 2005 | 344 | |
| 4 | 1984 | 205 | |
| 5 | 2005 | 151 | |
| 6 | 1999 | 109 | |
| 7 | 1988 | 64 | |
| 8 | 1999 | 63 | |
| 9 | 1999 | 62 | |
| 10 | 1998 | 30 | |
| 11 | 2013 | 24 | |
| 12 | 1998 | 24 | |
| 13 | 1995 | 17 | |
| 14 | 1991 | 15 | |
| 15 | 1987 | 13 | |
| 16 | 1987 | 7 | |
| 17 | 1988 | 7 | |
| 18 | 2015 | 7 | |
| 19 | 1980 | 4 |
About Danielle Arnaud
Danielle Arnaud is a scholar working on Molecular Biology, Genetics, Plant Science, Oncology and Radiology, Nuclear Medicine and Imaging, 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), Animal Genetics and Reproduction (4 papers), Chromosomal and Genetic Variations (4 papers), Epigenetics and DNA Methylation (2 papers), Glycosylation and Glycoproteins Research (2 papers), RNA Interference and Gene Delivery (2 papers) and Renal and related cancers (2 papers). The work is most often cited by research in Genetics (1.0k citations), Molecular Biology (1.7k citations), Cancer Research (247 citations), Plant Science (213 citations) and Reproductive Medicine (42 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, David L. Spector, C. David Allis, Claire Rougeulle, Ikuhiro Okamoto, Luisa Dandolo, Corinne Chureau and Peter W. Andrews. Their work appears in journals such as Genomics, Development, Nature, Mammalian Genome and Developmental Biology.
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.