Nathalie Picault
- Plant Science top 1%
- Molecular Biology top 5%
- Endocrinology top 5%
- Genetics
- Biochemistry top 5%
- Co-authors
- Michael HodgesFerdinando PalmieriLuigi PalmieriOlivier PanaudMatthieu SanialA. LacombeTaline T. ElmayanChristophe Béclin
- Topics
- Chromosomal and Genetic Variations (13 papers)Genomics and Phylogenetic Studies (7 papers)Plant Disease Resistance and Genetics (5 papers)
- Partner nations
- FranceUnited StatesItaly
In The Last Decade
Nathalie Picault
23 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 79
- Plant Science 1.8k
- Molecular Biology 1.3k
- Endocrinology 170
- Genetics 152
- Biochemistry 103
Countries citing papers authored by Nathalie Picault
This map shows the geographic impact of Nathalie Picault'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 Nathalie Picault with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathalie Picault more than expected).
Fields of papers citing papers by Nathalie Picault
This network shows the impact of papers produced by Nathalie Picault. 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 Nathalie Picault. The network helps show where Nathalie Picault may publish in the future.
Co-authorship network of co-authors of Nathalie Picault
This figure shows the co-authorship network connecting the top 25 collaborators of Nathalie Picault. A scholar is included among the top collaborators of Nathalie Picault based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nathalie Picault. Nathalie Picault is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 21 | |
| 3 | 3 | |
| 4 | 7 | |
| 5 | 20 | |
| 6 | 15 | |
| 7 | 36 | |
| 8 | 142 | |
| 9 | 51 | |
| 10 | Doubling genome size without polyploidization: dynamics of retrotransposition-driven genomic expansions in Oryza australiensis, a wild relative of rice (Genome Research (2006) 16, (1262-1269)) | 19 |
| 11 | 56 | |
| 12 | 19 | |
| 13 | 51 | |
| 14 | 106 | |
| 15 | 434 | |
| 16 | 6 | |
| 17 | 46 | |
| 18 | 152 | |
| 19 | 131 | |
| 20 | Arabidopsis SGS2 and SGS3 Genes Are Required for Posttranscriptional Gene Silencing and Natural Virus Resistancebreakdown → | 852 |
About Nathalie Picault
Nathalie Picault is a scholar working on Plant Science, Molecular Biology and Environmental Chemistry, having authored 24 papers that have together received 2.3k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (13 papers), Genomics and Phylogenetic Studies (7 papers) and Plant Disease Resistance and Genetics (5 papers). The work is most often cited by research in Plant Science (1.8k citations), Endocrinology (170 citations) and Molecular Biology (1.3k citations). Nathalie Picault has collaborated with scholars based in France, United States and Italy. Frequent co-authors include Michael Hodges, Ferdinando Palmieri, Luigi Palmieri, Olivier Panaud, Matthieu Sanial, A. Lacombe, Taline T. Elmayan, Christophe Béclin, Frank Feuerbach and Christian Godon. Their work appears in journals such as Cell, Journal of Biological Chemistry and Biochemical Journal.
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.