Rédouane Aherrahrou

1.3k total citations
28 papers, 403 citations indexed

About

Rédouane Aherrahrou is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Rédouane Aherrahrou has authored 28 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 8 papers in Genetics and 7 papers in Immunology. Recurrent topics in Rédouane Aherrahrou's work include Atherosclerosis and Cardiovascular Diseases (7 papers), RNA modifications and cancer (7 papers) and Cancer-related molecular mechanisms research (4 papers). Rédouane Aherrahrou is often cited by papers focused on Atherosclerosis and Cardiovascular Diseases (7 papers), RNA modifications and cancer (7 papers) and Cancer-related molecular mechanisms research (4 papers). Rédouane Aherrahrou collaborates with scholars based in Germany, United States and Finland. Rédouane Aherrahrou's co-authors include Jeanette Erdmann, Heribert Schunkert, Zouhair Aherrahrou, Mete Civelek, Thorsten Kessler, Frank J. Kaiser, Minna U. Kaikkonen, Juliane Eckhold, Tiit Örd and Jana Wobst and has published in prestigious journals such as Circulation, Circulation Research and Diabetes.

In The Last Decade

Rédouane Aherrahrou

27 papers receiving 400 citations

Peers

Rédouane Aherrahrou
Bindu Ramachandran United States
Ru Ying China
Jianglei Chen United States
Marc A. Thomas Australia
Mu-Gen Liu United States
Daniela Macaya United States
Bindu Ramachandran United States
Rédouane Aherrahrou
Citations per year, relative to Rédouane Aherrahrou Rédouane Aherrahrou (= 1×) peers Bindu Ramachandran

Countries citing papers authored by Rédouane Aherrahrou

Since Specialization
Citations

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

Fields of papers citing papers by Rédouane Aherrahrou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rédouane Aherrahrou

This figure shows the co-authorship network connecting the top 25 collaborators of Rédouane Aherrahrou. A scholar is included among the top collaborators of Rédouane Aherrahrou 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 Rédouane Aherrahrou. Rédouane Aherrahrou 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.
Aherrahrou, Rédouane & Minna U. Kaikkonen. (2024). Technological advancements in functional interpretation of genome‐wide association studies ( GWAS ) findings: bridging the gap to clinical translation. FEBS Letters. 598(23). 2852–2853. 1 indexed citations
2.
Ruotsalainen, Anna‐Kaisa, et al.. (2024). The mechanisms of Chr.9p21.3 risk locus in coronary artery disease: where are we today?. American Journal of Physiology-Heart and Circulatory Physiology. 328(2). H196–H208. 1 indexed citations
3.
Benavente, Ernest Diez, et al.. (2024). System Genetics Analysis Reveals Sex Differences in Human Aortic Smooth Muscle Gene Expression. Bioinformatics and Biology Insights. 18. 769863840–769863840. 1 indexed citations
4.
Aherrahrou, Rédouane, Ferheen Baig, Konstantinos Theofilatos, et al.. (2024). Secreted Protein Profiling of Human Aortic Smooth Muscle Cells Identifies Vascular Disease Associations. Arteriosclerosis Thrombosis and Vascular Biology. 44(4). 898–914. 6 indexed citations
5.
Niskanen, Henri, Ilya Skovorodkin, Ilakya Selvarajan, et al.. (2024). Translatome profiling reveals Itih4 as a novel smooth muscle cell–specific gene in atherosclerosis. Cardiovascular Research. 120(8). 869–882. 9 indexed citations
6.
Narayanan, Sampath, Otto Bergman, Robert Wirka, et al.. (2024). Atheroma transcriptomics identifies ARNTL as a smooth muscle cell regulator and with clinical and genetic data improves risk stratification. European Heart Journal. 46(3). 308–322. 7 indexed citations
7.
Aherrahrou, Rédouane, et al.. (2023). Network Preservation Analysis Reveals Dysregulated Metabolic Pathways in Human Vascular Smooth Muscle Cell Phenotypic Switching. Circulation Genomic and Precision Medicine. 16(4). 372–381. 4 indexed citations
8.
Aherrahrou, Rédouane, Mohammad Daud Khan, Tiit Örd, et al.. (2023). Genetic Regulation of SMC Gene Expression and Splicing Predict Causal CAD Genes. Circulation Research. 132(3). 323–338. 22 indexed citations
9.
Aherrahrou, Rédouane, et al.. (2023). Jeanette Erdmann: 1965–2023. European Heart Journal. 44(41). 4306–4307.
10.
Hashmi, Satwat, et al.. (2023). Beyond the Basics: Unraveling the Complexity of Coronary Artery Calcification. Cells. 12(24). 2822–2822. 4 indexed citations
11.
Aherrahrou, Rédouane, et al.. (2022). Genetic regulation of circular RNA expression in human aortic smooth muscle cells and vascular traits. Human Genetics and Genomics Advances. 4(1). 100164–100164. 7 indexed citations
12.
Wierer, Michael, Julia Werner, Jana Wobst, et al.. (2021). A proteomic atlas of the neointima identifies novel druggable targets for preventive therapy. European Heart Journal. 42(18). 1773–1785. 16 indexed citations
13.
Örd, Tiit, Kadri Õunap, Lindsey K. Stolze, et al.. (2021). Single-Cell Epigenomics and Functional Fine-Mapping of Atherosclerosis GWAS Loci. Circulation Research. 129(2). 240–258. 62 indexed citations
14.
Aherrahrou, Rédouane, Alexandra Kulle, Natália Alenina, et al.. (2020). CYP17A1 deficient XY mice display susceptibility to atherosclerosis, altered lipidomic profile and atypical sex development. Scientific Reports. 10(1). 8792–8792. 24 indexed citations
15.
Saux, Olivier Le, Viola Pomozi, Rédouane Aherrahrou, et al.. (2018). Etidronate prevents dystrophic cardiac calcification by inhibiting macrophage aggregation. Scientific Reports. 8(1). 5812–5812. 14 indexed citations
16.
Aherrahrou, Rédouane, Zouhair Aherrahrou, Heribert Schunkert, & Jeanette Erdmann. (2017). Coronary artery disease associated gene Phactr1 modulates severity of vascular calcification in vitro. Biochemical and Biophysical Research Communications. 491(2). 396–402. 30 indexed citations
17.
Aherrahrou, Rédouane, Stephanie Stoelting, Jennifer Freyer, et al.. (2016). Proatherosclerotic Effect of the α1-Subunit of Soluble Guanylyl Cyclase by Promoting Smooth Muscle Phenotypic Switching. American Journal Of Pathology. 186(8). 2220–2231. 21 indexed citations
18.
Aherrahrou, Zouhair, Saskia Schlossarek, Stephanie Stoelting, et al.. (2015). Knock-out of nexilin in mice leads to dilated cardiomyopathy and endomyocardial fibroelastosis. Basic Research in Cardiology. 111(1). 6–6. 32 indexed citations
19.
Dang, Tan An, Jana Wobst, Thorsten Kessler, et al.. (2015). Investigating the impact of a mutation in PDE5A on myocardial infarction. BMC Pharmacology and Toxicology. 16(S1). 4 indexed citations
20.
Kaiser, Frank J., Juliane Eckhold, Thorsten Kessler, et al.. (2013). Functional Interaction of Osteogenic Transcription Factors Runx2 and Vdr in Transcriptional Regulation of Opn during Soft Tissue Calcification. American Journal Of Pathology. 183(1). 60–68. 24 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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