Patrice Déhais

4.2k citations
30 papers · 1.2k indexed · 1 hit paper · h-index 15
    • Genomics and Phylogenetic Studies 9
    • RNA and protein synthesis mechanisms 6
    • Machine Learning in Bioinformatics 5
    • RNA Research and Splicing 3
  • Genetics top 10%
    • Genetic Mapping and Diversity in Plants and Animals 9
    • Genetic and phenotypic traits in livestock 7
    • Genetic Syndromes and Imprinting 2
    • Animal Nutrition and Physiology 3

Patrice Déhais

28 papers receiving 1.2k citations

Hit Papers

PlantCARE, a plant cis-acting regulatory element database5241999202620082017100200300400500

Peers

Patrice Déhais
Comparison fields: 5 of 91
  • Plant Science 619
  • Molecular Biology 779
  • Horticulture 10
  • Genetics 266
  • Animal Science and Zoology 76
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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

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20210
3 202015
4 201535
5 201514
6 201516
7 201469
8 201221
9 201123
10 200340
11
Automatic design of gene specific tags for transcriptome studies
20011
12 20007
13 20004
14 199975
15
PlantCARE, a plant cis-acting regulatory element databasebreakdown →
1999524
16 199925
17 1998111
18
Toward an integrated tool to manage sequencing projects
19961
19
Genetic Sequence Annotation within Biological Databases
19952
20 199523

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), Genetic and phenotypic traits in livestock (7 papers), RNA and protein synthesis mechanisms (6 papers), Machine Learning in Bioinformatics (5 papers), Animal Nutrition and Physiology (3 papers), RNA Research and Splicing (3 papers) and Genetic Syndromes and Imprinting (2 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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