Olivia Devillers

4.4k citations
10 papers · 2.6k · 3 hit papers · h-index 10

Impact in

Papers in

    • Epigenetics and DNA Methylation 5
    • Genomics and Chromatin Dynamics 4
    • Single-cell and spatial transcriptomics 3
    • Gene expression and cancer classification 2
    • Bioinformatics and Genomic Networks 2
    • Pluripotent Stem Cells Research 1
    • Genetic Associations and Epidemiology 2

Olivia Devillers

10 papers receiving 2.5k citations

Olivia Devillers's Hit Papers

Integrative functional genomic analysis of human brain development and neuropsychiatric risks 2018 · 560 citations
5600+2+5Years since publication250500750

Peers

Olivia Devillers
Comparison fields: 5 of 97
  • Biological Psychiatry 191
  • Developmental Neuroscience 147
  • Genetics 939
  • Neurology 200
  • Molecular Biology 1.5k
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Citations per field
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Citations per year

Countries citing papers authored by Olivia Devillers

Since Specialization
Citations

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

Fields of papers citing papers by Olivia Devillers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Olivia Devillers, 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 Olivia Devillers Line = papers co-authored together Olivia Devillers links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1
Transcriptome-wide isoform-level dysregulation in ASD, schizophrenia, and bipolar disorder
Hit paper breakdown →
2018892
2
Comprehensive functional genomic resource and integrative model for the human brain
Hit paper breakdown →
2018647
3
Integrative functional genomic analysis of human brain development and neuropsychiatric risks
Hit paper breakdown →
2018560
4 2018233
5 202166
6 202237
7 201837
8 202033
9 202228
10 202219

About Olivia Devillers

Olivia Devillers is a scholar working on Molecular Biology, Genetics, Oncology, Biomedical Engineering and Electrical and Electronic Engineering, having authored 10 papers that have together received 2.6k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (5 papers), Genomics and Chromatin Dynamics (4 papers), Single-cell and spatial transcriptomics (3 papers), Gene expression and cancer classification (2 papers), Bioinformatics and Genomic Networks (2 papers), Genetic Associations and Epidemiology (2 papers), Silicon Carbide Semiconductor Technologies (1 paper) and Pluripotent Stem Cells Research (1 paper). The work is most often cited by research in Biological Psychiatry (191 citations), Developmental Neuroscience (147 citations), Genetics (939 citations), Neurology (200 citations) and Molecular Biology (1.5k citations). Olivia Devillers has collaborated with scholars based in United States, Italy and Israel. Frequent co-authors include Jacob Schachter, Abraham Avigdor, Arnon Nagler, Michal Judith Besser, Avichai Shimoni, Orit Itzhaki, Olga Ostrovsky, Elad Jacoby, Katia Beider and Amos Toren. Their work appears in journals such as Science, Nature Communications, Nature Genetics, Nature Neuroscience and Cells.

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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