Arnaud Chignon

457 total citations
9 papers, 172 citations indexed

About

Arnaud Chignon is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Arnaud Chignon has authored 9 papers receiving a total of 172 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Genetics and 4 papers in Immunology. Recurrent topics in Arnaud Chignon's work include Atherosclerosis and Cardiovascular Diseases (4 papers), Genetic Associations and Epidemiology (3 papers) and Cancer-related molecular mechanisms research (3 papers). Arnaud Chignon is often cited by papers focused on Atherosclerosis and Cardiovascular Diseases (4 papers), Genetic Associations and Epidemiology (3 papers) and Cancer-related molecular mechanisms research (3 papers). Arnaud Chignon collaborates with scholars based in Canada and United States. Arnaud Chignon's co-authors include Patrick Mathieu, Marie‐Chloé Boulanger, Yohan Bossé, Sébastien Thériault, Zhonglin Li, Benoît J. Arsenault, Mickaël Rosa, Ghada Mkannez, Pierre Voisine and Nathalie Gaudreault and has published in prestigious journals such as Nucleic Acids Research, Arteriosclerosis Thrombosis and Vascular Biology and PLoS Genetics.

In The Last Decade

Arnaud Chignon

8 papers receiving 169 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Arnaud Chignon Canada	7	76	44	44	30	26	9	172
Jae-Bum Bae South Korea	7	192 2.5×	56 1.3×	47 1.1×	17 0.6×	35 1.3×	8	261
Mitchell W. Dillon United States	5	127 1.7×	81 1.8×	60 1.4×	18 0.6×	18 0.7×	7	202
Noa Ruhrman‐Shahar Israel	8	61 0.8×	78 1.8×	16 0.4×	15 0.5×	17 0.7×	18	146
Kazunori Yoshikiyo Japan	7	150 2.0×	39 0.9×	79 1.8×	12 0.4×	39 1.5×	8	252
B. Thamm Germany	9	93 1.2×	41 0.9×	20 0.5×	20 0.7×	14 0.5×	13	203
Jeffery Houghton United States	3	89 1.2×	31 0.7×	39 0.9×	11 0.4×	28 1.1×	3	184
Yanlai Lu China	8	89 1.2×	16 0.4×	99 2.3×	9 0.3×	44 1.7×	10	228
Rocío Mena Spain	7	65 0.9×	75 1.7×	16 0.4×	16 0.5×	8 0.3×	16	182
Aoi Wakabayashi United States	7	146 1.9×	24 0.5×	15 0.3×	18 0.6×	14 0.5×	9	211
Katyayani Sukhavasi Estonia	4	186 2.4×	22 0.5×	135 3.1×	28 0.9×	45 1.7×	5	276

Countries citing papers authored by Arnaud Chignon

Since Specialization

Citations

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

Fields of papers citing papers by Arnaud Chignon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arnaud Chignon

This figure shows the co-authorship network connecting the top 25 collaborators of Arnaud Chignon. A scholar is included among the top collaborators of Arnaud Chignon 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 Arnaud Chignon. Arnaud Chignon 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

Chignon, Arnaud & Guillaume Lettre. (2025). Using omics data and genome editing methods to decipher GWAS loci associated with coronary artery disease. Atherosclerosis. 401. 118621–118621.

Chignon, Arnaud, Marie‐Chloé Boulanger, Ghada Mkannez, et al.. (2022). Genome-wide chromatin contacts of super-enhancer-associated lncRNA identify LINC01013 as a regulator of fibrosis in the aortic valve. PLoS Genetics. 18(1). e1010010–e1010010. 9 indexed citations

Chignon, Arnaud, Samuel Mathieu, Anne Rufiange, et al.. (2022). Enhancer promoter interactome and Mendelian randomization identify network of druggable vascular genes in coronary artery disease. Human Genomics. 16(1). 8–8. 6 indexed citations

Chignon, Arnaud, Mickaël Rosa, Marie‐Chloé Boulanger, et al.. (2021). Enhancer-associated aortic valve stenosis risk locus 1p21.2 alters NFATC2 binding site and promotes fibrogenesis. iScience. 24(3). 102241–102241. 11 indexed citations

Chignon, Arnaud, Marie‐Chloé Boulanger, Zhonglin Li, et al.. (2021). System Genetics Including Causal Inference Identify Immune Targets for Coronary Artery Disease and the Lifespan. Circulation Genomic and Precision Medicine. 14(2). e003196–e003196. 7 indexed citations

Chignon, Arnaud, Marie‐Chloé Boulanger, Zhonglin Li, et al.. (2020). Single-cell expression and Mendelian randomization analyses identify blood genes associated with lifespan and chronic diseases. Communications Biology. 3(1). 206–206. 7 indexed citations

Chignon, Arnaud, et al.. (2020). Oxyphospholipids in Cardiovascular Calcification. Arteriosclerosis Thrombosis and Vascular Biology. 41(1). 11–19. 7 indexed citations

Rosa, Mickaël, Arnaud Chignon, Zhonglin Li, et al.. (2019). A Mendelian randomization study of IL6 signaling in cardiovascular diseases, immune-related disorders and longevity. npj Genomic Medicine. 4(1). 23–23. 97 indexed citations

Boulanger, Marie‐Chloé, et al.. (2019). Enhancer-mediated enrichment of interacting JMJD3–DDX21 to ENPP2 locus prevents R-loop formation and promotes transcription. Nucleic Acids Research. 47(16). 8424–8438. 28 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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