Édouard Henrion

3.1k total citations
9 papers, 572 citations indexed

About

Édouard Henrion is a scholar working on Genetics, Molecular Biology and Physiology. According to data from OpenAlex, Édouard Henrion has authored 9 papers receiving a total of 572 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Genetics, 3 papers in Molecular Biology and 2 papers in Physiology. Recurrent topics in Édouard Henrion's work include Genomics and Rare Diseases (3 papers), Genomic variations and chromosomal abnormalities (3 papers) and Genetics and Neurodevelopmental Disorders (2 papers). Édouard Henrion is often cited by papers focused on Genomics and Rare Diseases (3 papers), Genomic variations and chromosomal abnormalities (3 papers) and Genetics and Neurodevelopmental Disorders (2 papers). Édouard Henrion collaborates with scholars based in Canada, Italy and France. Édouard Henrion's co-authors include Guy A. Rouleau, Dan Spiegelman, Jacques L. Michaud, Ousmane Diallo, Fadi F. Hamdan, Alexandre Dionne‐Laporte, Christine Massicotte, Hussein Daoud, Amirthagowri Ambalavanan and Alexey V. Pshezhetsky and has published in prestigious journals such as PLoS ONE, Annals of Neurology and PLoS Genetics.

In The Last Decade

Édouard Henrion

7 papers receiving 565 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Édouard Henrion Canada 7 355 328 96 94 77 9 572
Pierre Cacciagli France 15 410 1.2× 391 1.2× 100 1.0× 120 1.3× 41 0.5× 25 739
Hans Hilger Ropers Germany 13 443 1.2× 439 1.3× 123 1.3× 74 0.8× 62 0.8× 16 763
Claude Cancès France 10 293 0.8× 310 0.9× 66 0.7× 71 0.8× 89 1.2× 15 574
Stefania Bigoni Italy 14 190 0.5× 255 0.8× 105 1.1× 53 0.6× 90 1.2× 33 520
Shino Shimada Japan 15 315 0.9× 318 1.0× 68 0.7× 23 0.2× 35 0.5× 36 545
K. Friend Australia 7 482 1.4× 523 1.6× 209 2.2× 43 0.5× 145 1.9× 8 773
Eleonora Di Gregorio Italy 17 389 1.1× 170 0.5× 134 1.4× 54 0.6× 25 0.3× 32 569
Antonio Falace Italy 12 383 1.1× 204 0.6× 131 1.4× 179 1.9× 23 0.3× 21 640
Christopher M. LaCoursiere United States 6 315 0.9× 324 1.0× 93 1.0× 61 0.6× 39 0.5× 7 584
L. Georgieva United Kingdom 6 266 0.7× 342 1.0× 82 0.9× 38 0.4× 89 1.2× 8 513

Countries citing papers authored by Édouard Henrion

Since Specialization
Citations

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

Fields of papers citing papers by Édouard Henrion

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Édouard Henrion

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

All Works

9 of 9 papers shown
1.
Brial, François, Claude Rouch, Édouard Henrion, et al.. (2025). Transcriptome atlases of rat brain regions and their adaptation to diabetes resolution following gastrectomy in the Goto-Kakizaki rat. Molecular Brain. 18(1). 9–9.
2.
Lemay, Philippe, Patrizia De Marco, Monica Traverso, et al.. (2018). Whole exome sequencing identifies novel predisposing genes in neural tube defects. Molecular Genetics & Genomic Medicine. 7(1). e00467–e00467. 22 indexed citations
3.
Zhou, Sirui, Lan Xiong, Pingxing Xie, et al.. (2015). Increased Missense Mutation Burden of Fatty Acid Metabolism Related Genes in Nunavik Inuit Population. PLoS ONE. 10(5). e0128255–e0128255. 18 indexed citations
4.
Lemay, Philippe, Élizabeth Tremblay, Alexandre Dionne‐Laporte, et al.. (2015). Loss-of-function de novo mutations play an important role in severe human neural tube defects. Journal of Medical Genetics. 52(7). 493–497. 55 indexed citations
5.
Hamdan, Fadi F., Myriam Srour, José‐Mario Capo‐Chichi, et al.. (2014). De Novo Mutations in Moderate or Severe Intellectual Disability. PLoS Genetics. 10(10). e1004772–e1004772. 259 indexed citations
6.
Myers, Rachel A., Ferrán Casals, Julie Gauthier, et al.. (2011). A Population Genetic Approach to Mapping Neurological Disorder Genes Using Deep Resequencing. PLoS Genetics. 7(2). e1001318–e1001318. 68 indexed citations
7.
Daoud, Hussein, Paul N. Valdmanis, François Gros‐Louis, et al.. (2011). Resequencing of 29 Candidate Genes in Patients With Familial and Sporadic Amyotrophic Lateral Sclerosis. Archives of Neurology. 68(5). 587–93. 41 indexed citations
8.
Hamdan, Fadi F., Amélie Piton, Julie Gauthier, et al.. (2009). De novo STXBP1 mutations in mental retardation and nonsyndromic epilepsy. Annals of Neurology. 65(6). 748–753. 108 indexed citations
9.
Grabar, Natalia, et al.. (2005). From likelihoodness between words to the finding of functional profile for ortholog genes.. 49–55. 1 indexed citations

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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