Hélène Cheval

966 total citations
9 papers, 673 citations indexed

About

Hélène Cheval is a scholar working on Genetics, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Hélène Cheval has authored 9 papers receiving a total of 673 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Genetics, 4 papers in Molecular Biology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Hélène Cheval's work include Genetics and Neurodevelopmental Disorders (5 papers), Autism Spectrum Disorder Research (3 papers) and Neuroscience and Neuropharmacology Research (2 papers). Hélène Cheval is often cited by papers focused on Genetics and Neurodevelopmental Disorders (5 papers), Autism Spectrum Disorder Research (3 papers) and Neuroscience and Neuropharmacology Research (2 papers). Hélène Cheval collaborates with scholars based in France, United Kingdom and United States. Hélène Cheval's co-authors include Adrian Bird, Jacky Guy, Jim Selfridge, John M. Bissonnette, Daniel T. Lioy, Saurabh Garg, Kevin D. Foust, Gail Mandel, Brian K. Kaspar and James C. McGann and has published in prestigious journals such as Journal of Neuroscience, Scientific Reports and Human Molecular Genetics.

In The Last Decade

Hélène Cheval

8 papers receiving 671 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hélène Cheval France	7	492	428	284	79	47	9	673
Elena Bacchelli Italy	16	512 1.0×	343 0.8×	383 1.3×	96 1.2×	27 0.6×	28	791
Roberta Polli Italy	15	508 1.0×	470 1.1×	204 0.7×	47 0.6×	16 0.3×	32	868
Gilda Stefanelli Canada	12	441 0.9×	551 1.3×	155 0.5×	97 1.2×	50 1.1×	19	734
Gregory J. Pelka Australia	14	783 1.6×	597 1.4×	347 1.2×	101 1.3×	60 1.3×	14	1.0k
Diana L. Christian United States	10	313 0.6×	263 0.6×	209 0.7×	107 1.4×	31 0.7×	10	634
Darren Goffin United States	10	529 1.1×	408 1.0×	313 1.1×	108 1.4×	60 1.3×	10	660
Simone Berkel Germany	11	461 0.9×	376 0.9×	342 1.2×	157 2.0×	43 0.9×	13	747
Helena Kilpinen Finland	12	280 0.6×	471 1.1×	138 0.5×	115 1.5×	24 0.5×	18	758
James Jaworski United States	17	588 1.2×	372 0.9×	546 1.9×	153 1.9×	75 1.6×	19	951
John B. Vincent Canada	11	878 1.8×	656 1.5×	539 1.9×	113 1.4×	36 0.8×	19	1.1k

Countries citing papers authored by Hélène Cheval

Since Specialization

Citations

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

Fields of papers citing papers by Hélène Cheval

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hélène Cheval

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

All Works

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9 of 9 papers shown

Popa, E., Hélène Cheval, & Violetta Zujovic. (2025). Cues of Trained Immunity in Multiple Sclerosis Macrophages. Cells. 14(14). 1054–1054.

Lesage, Suzanne, Louise‐Laure Mariani, Philippe Ravassard, et al.. (2022). Does the Expression and Epigenetics of Genes Involved in Monogenic Forms of Parkinson’s Disease Influence Sporadic Forms?. Genes. 13(3). 479–479. 6 indexed citations

Cheval, Hélène, et al.. (2020). Patient-Derived Midbrain Organoids to Explore the Molecular Basis of Parkinson's Disease. Frontiers in Neurology. 11. 1005–1005. 34 indexed citations

Gendron, Joshua M., Claire Sauty-Colace, Nicolas Beaume, et al.. (2019). Long non-coding RNA repertoire and open chromatin regions constitute midbrain dopaminergic neuron - specific molecular signatures. Scientific Reports. 9(1). 1409–1409. 13 indexed citations

Garg, Saurabh, Daniel T. Lioy, Hélène Cheval, et al.. (2013). Systemic Delivery of MeCP2 Rescues Behavioral and Cellular Deficits in Female Mouse Models of Rett Syndrome. Journal of Neuroscience. 33(34). 13612–13620. 168 indexed citations

Cheval, Hélène, Jacky Guy, Cara Merusi, et al.. (2012). Postnatal inactivation reveals enhanced requirement for MeCP2 at distinct age windows. Human Molecular Genetics. 21(17). 3806–3814. 71 indexed citations

Cheval, Hélène, Carine Chagneau, Alexandra Veyrac, et al.. (2011). Distinctive features of Egr transcription factor regulation and DNA binding activity in CA1 of the hippocampus in synaptic plasticity and consolidation and reconsolidation of fear memory. Hippocampus. 22(3). 631–642. 44 indexed citations

Guy, Jacky, Hélène Cheval, Jim Selfridge, & Adrian Bird. (2011). The Role of MeCP2 in the Brain. Annual Review of Cell and Developmental Biology. 27(1). 631–652. 332 indexed citations

Chardonnet, Solenne, Pierre Le Maréchal, Hélène Cheval, et al.. (2008). Large‐scale study of phosphoproteins involved in long‐term potentiation in the rat dentate gyrus in vivo. European Journal of Neuroscience. 27(11). 2985–2998. 5 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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