Jean‐François Théroux

1.8k total citations
16 papers, 890 citations indexed

About

Jean‐François Théroux is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jean‐François Théroux has authored 16 papers receiving a total of 890 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 7 papers in Genetics and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jean‐François Théroux's work include Epigenetics and DNA Methylation (7 papers), Genetic Syndromes and Imprinting (3 papers) and Genetics and Neurodevelopmental Disorders (3 papers). Jean‐François Théroux is often cited by papers focused on Epigenetics and DNA Methylation (7 papers), Genetic Syndromes and Imprinting (3 papers) and Genetics and Neurodevelopmental Disorders (3 papers). Jean‐François Théroux collaborates with scholars based in Canada, France and United States. Jean‐François Théroux's co-authors include Gustavo Turecki, Naguib Mechawar, Corina Nagy, Arnaud Tanti, Carl Ernst, Jiannis Ragoussis, Malosree Maitra, Matthew Suderman, Volodymyr Yerko and Yu Chang Wang and has published in prestigious journals such as Science, Nature Communications and Journal of Neuroscience.

In The Last Decade

Jean‐François Théroux

16 papers receiving 881 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jean‐François Théroux Canada 13 465 215 177 175 157 16 890
Phillip D. Rivera United States 14 351 0.8× 223 1.0× 297 1.7× 113 0.6× 375 2.4× 18 1.0k
Barbara Di Benedetto Germany 19 479 1.0× 251 1.2× 386 2.2× 245 1.4× 258 1.6× 37 1.1k
Kristen R. Maynard United States 18 932 2.0× 209 1.0× 310 1.8× 80 0.5× 150 1.0× 42 1.5k
Jonathon Sens United States 12 260 0.6× 203 0.9× 164 0.9× 252 1.4× 51 0.3× 16 798
Patrícia Patrício Portugal 18 277 0.6× 191 0.9× 278 1.6× 215 1.2× 297 1.9× 35 962
Karen Dietz United States 6 283 0.6× 200 0.9× 212 1.2× 119 0.7× 351 2.2× 8 910
Parizad M. Bilimoria United States 12 554 1.2× 152 0.7× 299 1.7× 74 0.4× 130 0.8× 13 1.0k
Rebecca K. Simmons United States 10 709 1.5× 360 1.7× 106 0.6× 96 0.5× 69 0.4× 12 1.2k
N. Zečević Serbia 12 271 0.6× 189 0.9× 236 1.3× 72 0.4× 262 1.7× 31 870
Marijn Schouten Netherlands 12 207 0.4× 137 0.6× 113 0.6× 66 0.4× 230 1.5× 17 715

Countries citing papers authored by Jean‐François Théroux

Since Specialization
Citations

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

Fields of papers citing papers by Jean‐François Théroux

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean‐François Théroux. 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 Jean‐François Théroux. The network helps show where Jean‐François Théroux may publish in the future.

Co-authorship network of co-authors of Jean‐François Théroux

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

All Works

16 of 16 papers shown
1.
Hettige, Nuwan C., Peter Fleming, Xin Zhang, et al.. (2023). FOXG1 targets BMP repressors and cell cycle inhibitors in human neural progenitor cells. Human Molecular Genetics. 32(15). 2511–2522. 3 indexed citations
2.
Jefri, Malvin, Xin Zhang, Patrick S. Stumpf, et al.. (2022). Kabuki syndrome stem cell models reveal locus specificity of histone methyltransferase 2D (KMT2D/MLL4). Human Molecular Genetics. 31(21). 3715–3728. 3 indexed citations
3.
Lutz, Pierre-Éric, Marc-Aurèle Chay, Alain Pacis, et al.. (2021). Non-CG methylation and multiple histone profiles associate child abuse with immune and small GTPase dysregulation. Nature Communications. 12(1). 1132–1132. 28 indexed citations
4.
Maitra, Malosree, Corina Nagy, Yu Chang Wang, et al.. (2021). Extraction of nuclei from archived postmortem tissues for single-nucleus sequencing applications. Nature Protocols. 16(6). 2788–2801. 22 indexed citations
5.
Vaillancourt, Kathryn, Laura M. Fiori, Gilles Maussion, et al.. (2021). Methylation of the tyrosine hydroxylase gene is dysregulated by cocaine dependence in the human striatum. iScience. 24(10). 103169–103169. 12 indexed citations
6.
Almeida, Daniel, Claudia Rangel‐Escareño, Corina Nagy, et al.. (2021). Integrative DNA Methylation and Gene Expression Analysis in the Prefrontal Cortex of Mexicans Who Died by Suicide. The International Journal of Neuropsychopharmacology. 24(12). 935–947. 15 indexed citations
7.
Saeedi, Saumeh, Corina Nagy, Jean‐François Théroux, et al.. (2021). Neuron-derived extracellular vesicles enriched from plasma show altered size and miRNA cargo as a function of antidepressant drug response. Molecular Psychiatry. 26(12). 7417–7424. 72 indexed citations
8.
Vaillancourt, Kathryn, Jennie Yang, Gary G. Chen, et al.. (2020). Cocaine-related DNA methylation in caudate neurons alters 3D chromatin structure of the IRXA gene cluster. Molecular Psychiatry. 26(7). 3134–3151. 20 indexed citations
9.
Nagy, Corina, Malosree Maitra, Arnaud Tanti, et al.. (2020). Single-nucleus transcriptomics of the prefrontal cortex in major depressive disorder implicates oligodendrocyte precursor cells and excitatory neurons. Nature Neuroscience. 23(6). 771–781. 290 indexed citations
10.
Fiori, Laura M., Aron Kos, Rixing Lin, et al.. (2020). miR-323a regulates ERBB4 and is involved in depression. Molecular Psychiatry. 26(8). 4191–4204. 60 indexed citations
11.
Tanti, Arnaud, Pierre-Éric Lutz, John Kim, et al.. (2019). Evidence of decreased gap junction coupling between astrocytes and oligodendrocytes in the anterior cingulate cortex of depressed suicides. Neuropsychopharmacology. 44(12). 2099–2111. 41 indexed citations
12.
Wardeh, Amr H., Carl Ernst, Jean‐François Théroux, et al.. (2018). Identification of a de novo case of COL5A1 ‐related Ehlers‐Danlos syndrome in an infant in the West Indies leading to improved targeted clinical care. Clinical Case Reports. 6(11). 2256–2261. 4 indexed citations
13.
Kremer, Mélanie, İpek Yalçın, Yannick Goumon, et al.. (2018). A Dual Noradrenergic Mechanism for the Relief of Neuropathic Allodynia by the Antidepressant Drugs Duloxetine and Amitriptyline. Journal of Neuroscience. 38(46). 9934–9954. 69 indexed citations
14.
Chen, Gary G., Jeffrey Gross, Pierre-Éric Lutz, et al.. (2017). Medium throughput bisulfite sequencing for accurate detection of 5-methylcytosine and 5-hydroxymethylcytosine. BMC Genomics. 18(1). 96–96. 26 indexed citations
15.
Farmer, W. Todd, Therése Abrahamsson, Sabrina Chierzi, et al.. (2016). Neurons diversify astrocytes in the adult brain through sonic hedgehog signaling. Science. 351(6275). 849–854. 202 indexed citations
16.
Maussion, Gilles, Alpha Diallo, Carolina Oliveira Gigek, et al.. (2015). Investigation of genes important in neurodevelopment disorders in adult human brain. Human Genetics. 134(10). 1037–1053. 23 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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