Dany Séverac

3.7k citations
66 papers · 2.5k · h-index 28

Impact in

Papers in

    • CRISPR and Genetic Engineering 5
    • Legume Nitrogen Fixing Symbiosis 8
    • Chromosomal and Genetic Variations 7
    • Nematode management and characterization studies 5
    • Plant nutrient uptake and metabolism 4

Dany Séverac

65 papers receiving 2.4k citations

Peers

Dany Séverac
Comparison fields: 5 of 134
  • Horticulture 32
  • Genetics 661
  • Insect Science 246
  • Molecular Biology 1.2k
  • Plant Science 605
Replace Maja Tarailo‐Graovac with:
Maja Tarailo‐Graovac Canada
Guillaume Smits Belgium
W. Brad Barbazuk United States
Paul Klonowski United States
Diana L. Kolbe United States
Katsushi Yamaguchi Japan
Michael Regulski United States
Graham B. Wiley United States
Zhigang Li China
Chongyuan Luo United States
Dany Séverac relative to Maja Tarailo‐Graovac Canada Maja Tarailo‐Graovac's profile →
Citations per field
00.5×1.5×
Maja Tarailo‐Graovac · 1×
Citations per year

Countries citing papers authored by Dany Séverac

Since Specialization
Citations

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

Fields of papers citing papers by Dany Séverac

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006361
2 2016254
3 2017182
4 2014147
5 200897
6 201587
7 201882
8 201366
9 200763
10 201353
11 201550
12 202250
13 201649
14 201643
15 201240
16 201440
17 201739
18 200439
19 201738
20 201837

About Dany Séverac

Dany Séverac is a scholar working on Molecular Biology, Plant Science, Genetics, Cellular and Molecular Neuroscience and Ecology, having authored 66 papers that have together received 2.5k indexed citations. Recurring topics across this work include Legume Nitrogen Fixing Symbiosis (8 papers), Neurobiology and Insect Physiology Research (7 papers), Chromosomal and Genetic Variations (7 papers), Nematode management and characterization studies (5 papers), CRISPR and Genetic Engineering (5 papers), Plant nutrient uptake and metabolism (4 papers), Insect and Arachnid Ecology and Behavior (4 papers) and Physiological and biochemical adaptations (4 papers). The work is most often cited by research in Horticulture (32 citations), Genetics (661 citations), Insect Science (246 citations), Molecular Biology (1.2k citations) and Plant Science (605 citations). Dany Séverac has collaborated with scholars based in France, Morocco and Germany. Frequent co-authors include Laurent Journot, Emeric Dubois, Cindy Aknin, Anne Le Digarcher, Philippe Lashermes, Annie Varrault, Laëtitia Chotard, Marie‐Christine Combes, Alexis Dereeper and Raoul Raffel. Their work appears in journals such as BMC Genomics, Nature Communications, Scientific Reports, PLoS Genetics and Journal of Experimental Botany.

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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