Patrice Déhais

4.2k citations
30 papers · 1.2k indexed · 1 hit paper · h-index 15
Topics
Genomics and Phylogenetic Studies (9 papers)Genetic Mapping and Diversity in Plants and Animals (9 papers)Genetic and phenotypic traits in livestock (7 papers)
Partner nations
FranceBelgiumMorocco

In The Last Decade

Patrice Déhais

28 papers receiving 1.2k citations

Hit Papers

PlantCARE, a plant cis-acting regulatory element database19992026200820171999100200300400500

Peers

Patrice Déhais
Comparison fields: 5 of 91
  • Molecular Biology 779
  • Plant Science 619
  • Genetics 266
  • Animal Science and Zoology 76
  • Cancer Research 47
Replace M. Mar Castellano with:
M. Mar Castellano Spain
Liuji Wu China
Jeffrey M. Yunes United States
Benoît Valot France
Bin Bai China
Eriko Sasaki Japan
M. E. Vayda United States
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Patrice Déhais relative to M. Mar Castellano Spain M. Mar Castellano's profile →
Citations per field
00.5×4.0×
M. Mar Castellano · 1×
Citations per year

Countries citing papers authored by Patrice Déhais

Since Specialization
Citations

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

Fields of papers citing papers by Patrice Déhais

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patrice Déhais

This figure shows the co-authorship network connecting the top 25 collaborators of Patrice Déhais. A scholar is included among the top collaborators of Patrice Déhais 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 Patrice Déhais. Patrice Déhais is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 15
4 35
5 14
6 16
7 69
8 21
9 23
10 40
11
Automatic design of gene specific tags for transcriptome studies
1
12 7
13 4
14 75
15
PlantCARE, a plant cis-acting regulatory element databasebreakdown →
524
16 25
17 111
18
Toward an integrated tool to manage sequencing projects
1
19
Genetic Sequence Annotation within Biological Databases
2
20 23

About Patrice Déhais

Patrice Déhais is a scholar working on Genetics, Animal Science and Zoology and Molecular Biology, having authored 30 papers that have together received 1.2k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (9 papers), Genetic Mapping and Diversity in Plants and Animals (9 papers) and Genetic and phenotypic traits in livestock (7 papers). The work is most often cited by research in Plant Science (619 citations), Molecular Biology (779 citations) and Horticulture (10 citations). Patrice Déhais has collaborated with scholars based in France, Belgium and Morocco. Frequent co-authors include Pierre Rouzé, Stéphane Rombauts, Marc Van Montagu, Catherine Mathé, Frédérique Pitel, Nathalie Pavy, Philippe Leroy, David Gourichon, Sophie Leroux and Sylvie Combes. Their work appears in journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

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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