Erwin L. van Dijk

4.0k total citations · 2 hit papers
15 papers, 2.5k citations indexed

About

Erwin L. van Dijk is a scholar working on Molecular Biology, Plant Science and Cancer Research. According to data from OpenAlex, Erwin L. van Dijk has authored 15 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 3 papers in Plant Science and 2 papers in Cancer Research. Recurrent topics in Erwin L. van Dijk's work include RNA modifications and cancer (9 papers), Genomics and Phylogenetic Studies (6 papers) and RNA Research and Splicing (5 papers). Erwin L. van Dijk is often cited by papers focused on RNA modifications and cancer (9 papers), Genomics and Phylogenetic Studies (6 papers) and RNA Research and Splicing (5 papers). Erwin L. van Dijk collaborates with scholars based in France, Netherlands and United States. Erwin L. van Dijk's co-authors include Claude Thermes, Yan Jaszczyszyn, Hélène Auger, Delphine Naquin, Geurt Schilders, Ger J.M. Pruijn, Chun-Long Chen, Marta Kwapisz, Antonin Morillon and Véronique Roche and has published in prestigious journals such as Nature, Nucleic Acids Research and Journal of Molecular Biology.

In The Last Decade

Erwin L. van Dijk

14 papers receiving 2.5k 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.

Ten years of next-generation sequencing technology

2014 994 citations Erwin L. van Dijk, Hélène Auger et al. Trends in Genetics profile →
The Third Revolution in Sequencing Technology

2018 691 citations Erwin L. van Dijk, Yan Jaszczyszyn et al. Trends in Genetics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Erwin L. van Dijk France	11	1.8k	438	423	412	296	15	2.5k
Yan Jaszczyszyn France	15	1.8k 1.0×	373 0.9×	539 1.3×	365 0.9×	331 1.1×	35	2.7k
Sonia Tarazona Spain	10	1.4k 0.8×	489 1.1×	328 0.8×	370 0.9×	153 0.5×	14	2.4k
Tatiana Borodina Germany	14	2.5k 1.4×	431 1.0×	539 1.3×	687 1.7×	230 0.8×	25	3.3k
Richard Desper United States	16	1.6k 0.9×	483 1.1×	620 1.5×	404 1.0×	430 1.5×	21	2.4k
Miriam Smith United States	7	1.4k 0.8×	179 0.4×	320 0.8×	447 1.1×	266 0.9×	10	2.1k
Joel A. Malek Qatar	30	1.9k 1.1×	825 1.9×	766 1.8×	487 1.2×	338 1.1×	77	3.2k
Paul Coupland United Kingdom	16	2.0k 1.1×	394 0.9×	421 1.0×	479 1.2×	396 1.3×	23	3.0k
Ole Schulz-Trieglaff Germany	13	1.8k 1.0×	260 0.6×	563 1.3×	316 0.8×	250 0.8×	18	2.8k
Rolf H. A. M. Vossen Netherlands	23	1.4k 0.8×	289 0.7×	497 1.2×	278 0.7×	117 0.4×	50	2.2k
Erik Bongcam‐Rudloff Sweden	27	1.2k 0.7×	274 0.6×	318 0.8×	146 0.4×	256 0.9×	114	2.3k

Countries citing papers authored by Erwin L. van Dijk

Since Specialization

Citations

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

Fields of papers citing papers by Erwin L. van Dijk

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Erwin L. van Dijk. 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 Erwin L. van Dijk. The network helps show where Erwin L. van Dijk may publish in the future.

Co-authorship network of co-authors of Erwin L. van Dijk

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

All Works

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15 of 15 papers shown

Poidevin, Mickaël, Erwin L. van Dijk, Arnaud Le Rouzic, et al.. (2024). Male manipulation impinges on social-dependent tumor suppression in Drosophila melanogaster females. Scientific Reports. 14(1). 6411–6411. 1 indexed citations

Toffano‐Nioche, Claire, Jean‐Christophe Marvaud, Julian R. Garneau, et al.. (2024). Dual RNA-seq study of the dynamics of coding and non-coding RNA expression during Clostridioides difficile infection in a mouse model. mSystems. 9(12). e0086324–e0086324.

Dijk, Erwin L. van, Delphine Naquin, Kévin Gorrichon, et al.. (2023). Genomics in the long-read sequencing era. Trends in Genetics. 39(9). 649–671. 62 indexed citations

Dijk, Erwin L. van, et al.. (2019). Improving Small RNA-seq: Less Bias and Better Detection of 2'-O-Methyl RNAs. Journal of Visualized Experiments. 3 indexed citations

Dijk, Erwin L. van, et al.. (2019). Improving Small RNA-seq: Less Bias and Better Detection of 2'-O-Methyl RNAs. Journal of Visualized Experiments. 2 indexed citations

Dijk, Erwin L. van, Yan Jaszczyszyn, Delphine Naquin, & Claude Thermes. (2018). The Third Revolution in Sequencing Technology. Trends in Genetics. 34(9). 666–681. 691 indexed citations breakdown →

Dijk, Erwin L. van, Hélène Auger, Yan Jaszczyszyn, & Claude Thermes. (2014). Ten years of next-generation sequencing technology. Trends in Genetics. 30(9). 418–426. 994 indexed citations breakdown →

Dijk, Erwin L. van, Yan Jaszczyszyn, & Claude Thermes. (2014). Library preparation methods for next-generation sequencing: Tone down the bias. Experimental Cell Research. 322(1). 12–20. 271 indexed citations

Dijk, Erwin L. van, Chun-Long Chen, Yves d’Aubenton-Carafa, et al.. (2011). XUTs are a class of Xrn1-sensitive antisense regulatory non-coding RNA in yeast. Nature. 475(7354). 114–117. 279 indexed citations

10.

Dijk, Erwin L. van, Geurt Schilders, & Ger J.M. Pruijn. (2007). Human cell growth requires a functional cytoplasmic exosome, which is involved in various mRNA decay pathways. RNA. 13(7). 1027–1035. 70 indexed citations

11.

Dijk, Erwin L. van. (2001). Kinetics and regulation of site-specific endonucleolytic cleavage of human IGF-II mRNAs. Nucleic Acids Research. 29(17). 3477–3486. 13 indexed citations

12.

Dijk, Erwin L. van, J.S. Sussenbach, & P. Elly Holthuizen. (2000). Distinct RNA structural domains cooperate to maintain a specific cleavage site in the 3′-UTR of IGF-II mRNAs. Journal of Molecular Biology. 300(3). 449–467. 12 indexed citations

13.

Dijk, Erwin L. van, J.S. Sussenbach, & P. Elly Holthuizen. (1998). Identification of RNA sequences and structures involved in site-specific cleavage of IGF-II mRNAs. RNA. 4(12). 1623–1635. 15 indexed citations

14.

Meijer, Annemarie H., Enrico Scarpella, Erwin L. van Dijk, et al.. (1997). Transcriptional repression by Oshox1, a novel homeodomain leucine zipper protein from rice. The Plant Journal. 11(2). 263–276. 93 indexed citations

15.

Meijer, Annemarie H., Erwin L. van Dijk, & J. Harry C. Hoge. (1996). Novel members of a family of AT hook-containing DNA-binding proteins from rice are identified through theirin vitro interaction with consensus target sites of plant and animal homeodomain proteins. Plant Molecular Biology. 31(3). 607–618. 17 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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