Marc Parisien

13.4k total citations · 5 hit papers
62 papers, 9.3k citations indexed

About

Marc Parisien is a scholar working on Molecular Biology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Marc Parisien has authored 62 papers receiving a total of 9.3k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 17 papers in Physiology and 10 papers in Cellular and Molecular Neuroscience. Recurrent topics in Marc Parisien's work include RNA and protein synthesis mechanisms (19 papers), RNA modifications and cancer (19 papers) and Pain Mechanisms and Treatments (15 papers). Marc Parisien is often cited by papers focused on RNA and protein synthesis mechanisms (19 papers), RNA modifications and cancer (19 papers) and Pain Mechanisms and Treatments (15 papers). Marc Parisien collaborates with scholars based in Canada, United States and United Kingdom. Marc Parisien's co-authors include Tao Pan, Qing Dai, Chuan He, Nian Liu, François Major, Guanqun Zheng, Xiao Wang, Bing Ren, Zhike Lu and Dali Han and has published in prestigious journals such as Nature, Science and Nucleic Acids Research.

In The Last Decade

Marc Parisien

61 papers receiving 9.2k citations

Hit Papers

N6-methyladenosine-dependent regulation of messenger RNA ... 2008 2026 2014 2020 2013 2015 2008 2017 2022 1000 2.0k 3.0k

Peers

Marc Parisien
Miao Yu China
Catherine C. L. Wong United States
Erhard Bieberich United States
Ye Tian China
Paul D. Allen United States
F. Brad Johnson United States
Masahiko Hoshijima United States
Miao Yu China
Marc Parisien
Citations per year, relative to Marc Parisien Marc Parisien (= 1×) peers Miao Yu

Countries citing papers authored by Marc Parisien

Since Specialization
Citations

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

Fields of papers citing papers by Marc Parisien

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marc Parisien

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

All Works

20 of 20 papers shown
1.
Toikumo, Sylvanus, Marc Parisien, Michael J. Leone, et al.. (2025). The cell-type–specific genetic architecture of chronic pain in brain and dorsal root ganglia. Journal of Clinical Investigation. 135(24).
2.
Li, Song, Marc Parisien, Kris Vissers, et al.. (2025). Genome-wide association study on chronic postsurgical pain in the UK Biobank. British Journal of Anaesthesia. 134(3). 783–792. 1 indexed citations
3.
Parisien, Marc, Bogdan Petre, Andrey V. Bortsov, et al.. (2025). Biological markers and psychosocial factors predict chronic pain conditions. Nature Human Behaviour. 9(8). 1710–1725. 3 indexed citations
4.
Bang, Sangsu, Changyu Jiang, Sharat Chandra, et al.. (2024). Satellite glial GPR37L1 and its ligand maresin 1 regulate potassium channel signaling and pain homeostasis. Journal of Clinical Investigation. 134(9). 19 indexed citations
5.
Parisien, Marc, Roger B. Fillingim, Richard Ohrbach, et al.. (2023). Whole-genome methylation profiling reveals regions associated with painful temporomandibular disorders and active recovery processes. Pain. 165(5). 1060–1073. 2 indexed citations
6.
Bortsov, Andrey V., Marc Parisien, Samar Khoury, et al.. (2022). Brain-specific genes contribute to chronic but not to acute back pain. PAIN Reports. 7(5). e1018–e1018. 18 indexed citations
7.
Karo‐Atar, Danielle, Shaida Ouladan, Susan Westfall, et al.. (2022). Helminth-induced reprogramming of the stem cell compartment inhibits type 2 immunity. The Journal of Experimental Medicine. 219(9). 17 indexed citations
8.
Parisien, Marc, L. Lima, Concetta Dagostino, et al.. (2022). Acute inflammatory response via neutrophil activation protects against the development of chronic pain. Science Translational Medicine. 14(644). eabj9954–eabj9954. 175 indexed citations breakdown →
9.
Freidin, Maxim B., Yakov A. Tsepilov, Ian B. Stanaway, et al.. (2020). Sex- and age-specific genetic analysis of chronic back pain. Pain. 162(4). 1176–1187. 24 indexed citations
10.
Gao, Xing‐Huang, Ling Li, Marc Parisien, et al.. (2020). Discovery of a Redox Thiol Switch: Implications for Cellular Energy Metabolism. Molecular & Cellular Proteomics. 19(5). 852–870. 37 indexed citations
11.
Diatchenko, Luda, Marc Parisien, Yuan Kang, et al.. (2019). Profound analgesia is associated with a truncated peptide resulting from tissue specific alternative splicing of DRG CA8-204 regulated by an exon-level cis-eQTL. PLoS Genetics. 15(6). e1008226–e1008226. 5 indexed citations
12.
Wang, Xiaoyun, Żaneta Matuszek, Yong Huang, et al.. (2018). Queuosine modification protects cognate tRNAs against ribonuclease cleavage. RNA. 24(10). 1305–1313. 110 indexed citations
13.
Piltonen, Marjo, Marc Parisien, Stéphanie Grégoire, et al.. (2018). Alternative Splicing of the Delta-Opioid Receptor Gene Suggests Existence of New Functional Isoforms. Molecular Neurobiology. 56(4). 2855–2869. 18 indexed citations
14.
Parisien, Marc, Samar Khoury, Anne‐Julie Chabot‐Doré, et al.. (2017). Effect of Human Genetic Variability on Gene Expression in Dorsal Root Ganglia and Association with Pain Phenotypes. Cell Reports. 19(9). 1940–1952. 42 indexed citations
15.
Parisien, Marc, Xiaoyun Wang, & Tao Pan. (2013). Diversity of human tRNA genes from the 1000-genomes project. RNA Biology. 10(12). 1853–1867. 77 indexed citations
16.
Saikia, Mridusmita, Dawid Krokowski, Pavel Ivanov, et al.. (2012). Genome-wide Identification and Quantitative Analysis of Cleaved tRNA Fragments Induced by Cellular Stress. Journal of Biological Chemistry. 287(51). 42708–42725. 177 indexed citations
17.
Wang, Zhaohui, Marc Parisien, Kay Scheets, & W. Allen Miller. (2011). The Cap-Binding Translation Initiation Factor, eIF4E, Binds a Pseudoknot in a Viral Cap-Independent Translation Element. Structure. 19(6). 868–880. 55 indexed citations
18.
Parisien, Marc & François Major. (2007). Ranking the factors that contribute to protein β‐sheet folding. Proteins Structure Function and Bioinformatics. 68(4). 824–829. 15 indexed citations
19.
Parisien, Marc & François Major. (2005). A new catalog of protein β‐sheets. Proteins Structure Function and Bioinformatics. 61(3). 545–558. 16 indexed citations
20.
Caron, Étienne, Caroline Côté, Marc Parisien, François Major, & Claude Perreault. (2005). Identification of two distinct intracellular localization signals in STT3-B. Archives of Biochemistry and Biophysics. 445(1). 108–114. 3 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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