Simon Ardui

1.1k total citations · 1 hit paper
6 papers, 655 citations indexed

About

Simon Ardui is a scholar working on Molecular Biology, Genetics and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Simon Ardui has authored 6 papers receiving a total of 655 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Genetics and 2 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Simon Ardui's work include Genomic variations and chromosomal abnormalities (3 papers), Prenatal Screening and Diagnostics (2 papers) and Chromatin Remodeling and Cancer (2 papers). Simon Ardui is often cited by papers focused on Genomic variations and chromosomal abnormalities (3 papers), Prenatal Screening and Diagnostics (2 papers) and Chromatin Remodeling and Cancer (2 papers). Simon Ardui collaborates with scholars based in Belgium, Netherlands and United States. Simon Ardui's co-authors include Joris Vermeesch, Matthew S. Hestand, Adam Ameur, Koenraad Devriendt, Hilde Van Esch, Thomy de Ravel, Gert Matthijs, Valérie Race, Nathalie Brison and Paul Brady and has published in prestigious journals such as Nucleic Acids Research, Human Molecular Genetics and Human Mutation.

In The Last Decade

Simon Ardui

6 papers receiving 628 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Single molecule real-time (SMRT) sequencing comes of age: applications and utilities for medical diagnostics

2018 493 citations Simon Ardui, Adam Ameur et al. Nucleic Acids Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Simon Ardui Belgium	5	391	165	107	89	84	6	655
Shahid Banday United States	10	506 1.3×	101 0.6×	74 0.7×	15 0.2×	125 1.5×	18	868
Kimberly R. Kukurba United States	7	523 1.3×	184 1.1×	71 0.7×	18 0.2×	165 2.0×	7	841
Dhirendra Kumar India	18	730 1.9×	183 1.1×	72 0.7×	13 0.1×	82 1.0×	34	1.1k
Cai Chen China	17	575 1.5×	161 1.0×	238 2.2×	15 0.2×	93 1.1×	72	843
Laurentijn Tilleman Belgium	14	291 0.7×	53 0.3×	87 0.8×	30 0.3×	56 0.7×	32	541
Kristi Lea United States	12	732 1.9×	75 0.5×	115 1.1×	16 0.2×	121 1.4×	14	960
Matthew Dunn United States	8	865 2.2×	163 1.0×	94 0.9×	16 0.2×	27 0.3×	10	1.0k
Haniaa Bouzinba-Ségard France	13	587 1.5×	123 0.7×	198 1.9×	22 0.2×	68 0.8×	21	830
Renee Gaspard United States	8	744 1.9×	143 0.9×	108 1.0×	8 0.1×	99 1.2×	10	1.0k

Countries citing papers authored by Simon Ardui

Since Specialization

Citations

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

Fields of papers citing papers by Simon Ardui

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simon Ardui

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

All Works

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6 of 6 papers shown

1.

Ardui, Simon, Yannick De Vlaeminck, Joke Allemeersch, et al.. (2020). MSH2 knock-down shows CTG repeat stability and concomitant upstream demethylation at the DMPK locus in myotonic dystrophy type 1 human embryonic stem cells. Human Molecular Genetics. 29(21). 3566–3577. 5 indexed citations

2.

Ardui, Simon, Valérie Race, Thomy de Ravel, et al.. (2018). Detecting AGG Interruptions in Females With a FMR1 Premutation by Long-Read Single-Molecule Sequencing: A 1 Year Clinical Experience. Frontiers in Genetics. 9. 150–150. 27 indexed citations

3.

Ardui, Simon, Adam Ameur, Joris Vermeesch, & Matthew S. Hestand. (2018). Single molecule real-time (SMRT) sequencing comes of age: applications and utilities for medical diagnostics. Nucleic Acids Research. 46(5). 2159–2168. 493 indexed citations breakdown →

4.

Ardui, Simon, Valérie Race, Matthew S. Hestand, et al.. (2016). Detecting AGG Interruptions in Male and Female FMR1 Premutation Carriers by Single-Molecule Sequencing. Human Mutation. 38(3). 324–331. 31 indexed citations

5.

Dehaspe, Luc, Nathalie Brison, Paul Brady, et al.. (2015). Noninvasive prenatal testing using a novel analysis pipeline to screen for all autosomal fetal aneuploidies improves pregnancy management. European Journal of Human Genetics. 23(10). 1286–1293. 98 indexed citations

6.

Brady, Paul, Simon Ardui, & Joris Vermeesch. (2013). The Future of Prenatal Cytogenetics: From Copy Number Variations to Non-invasive Prenatal Testing. 1(2). 91–98. 1 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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