Erik van Nimwegen

18.9k total citations · 3 hit papers
91 papers, 7.8k citations indexed

About

Erik van Nimwegen is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Erik van Nimwegen has authored 91 papers receiving a total of 7.8k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Molecular Biology, 23 papers in Genetics and 17 papers in Cancer Research. Recurrent topics in Erik van Nimwegen's work include RNA Research and Splicing (30 papers), Genomics and Chromatin Dynamics (23 papers) and RNA and protein synthesis mechanisms (22 papers). Erik van Nimwegen is often cited by papers focused on RNA Research and Splicing (30 papers), Genomics and Chromatin Dynamics (23 papers) and RNA and protein synthesis mechanisms (22 papers). Erik van Nimwegen collaborates with scholars based in Switzerland, United States and Germany. Erik van Nimwegen's co-authors include Mihaela Zavolan, Mikhail Pachkov, Lukas Burger, Martijn A. Huynen, James P. Crutchfield, Dimos Gaidatzis, Piotr J. Balwierz, Phil Arnold, Eric D. Siggia and Dirk Schübeler and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Erik van Nimwegen

91 papers receiving 7.7k citations

Hit Papers

DNA-binding factors shape... 2011 2026 2016 2021 2011 2013 2014 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Erik van Nimwegen Switzerland 44 6.4k 1.6k 1.4k 537 471 91 7.8k
Ben Lehner Spain 53 7.1k 1.1× 2.3k 1.4× 1.2k 0.8× 655 1.2× 369 0.8× 119 9.1k
Yitzhak Pilpel Israel 49 6.7k 1.1× 1.3k 0.8× 1.3k 0.9× 670 1.2× 279 0.6× 100 8.3k
Jian‐Bing Fan United States 46 6.0k 0.9× 1.6k 1.0× 1.9k 1.4× 892 1.7× 708 1.5× 133 8.7k
Yoshihide Hayashizaki Japan 46 4.8k 0.8× 854 0.5× 1.0k 0.7× 857 1.6× 424 0.9× 149 6.8k
Paul Bertone United States 48 10.4k 1.6× 1.1k 0.7× 1.9k 1.3× 771 1.4× 495 1.1× 68 12.0k
Saeed Tavazoie United States 38 7.7k 1.2× 1.5k 0.9× 1.1k 0.8× 704 1.3× 200 0.4× 71 9.3k
Fran Supek Spain 28 4.5k 0.7× 1.2k 0.7× 1.1k 0.8× 1.2k 2.2× 474 1.0× 57 7.3k
Vivian G. Cheung United States 36 4.7k 0.7× 2.3k 1.4× 810 0.6× 444 0.8× 389 0.8× 74 6.5k
Mark S. Chee United States 27 5.8k 0.9× 1.5k 1.0× 807 0.6× 471 0.9× 479 1.0× 37 8.2k
Jinrong Min Canada 50 8.7k 1.4× 1.0k 0.6× 824 0.6× 655 1.2× 850 1.8× 185 10.2k

Countries citing papers authored by Erik van Nimwegen

Since Specialization
Citations

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

Fields of papers citing papers by Erik van Nimwegen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Erik van Nimwegen. 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 Erik van Nimwegen. The network helps show where Erik van Nimwegen may publish in the future.

Co-authorship network of co-authors of Erik van Nimwegen

This figure shows the co-authorship network connecting the top 25 collaborators of Erik van Nimwegen. A scholar is included among the top collaborators of Erik van Nimwegen 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 Erik van Nimwegen. Erik van Nimwegen 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
2.
Julou, Thomas, et al.. (2025). Growth rate controls the sensitivity of gene regulatory circuits. Science Advances. 11(17). eadu9279–eadu9279. 2 indexed citations
3.
Katsantoni, Maria, Erik van Nimwegen, & Mihaela Zavolan. (2023). Improved analysis of (e)CLIP data with RCRUNCH yields a compendium of RNA-binding protein binding sites and motifs. Genome biology. 24(1). 7 indexed citations
4.
Mukhtar, Tanzila, Marcelo Boareto, Alice Grison, et al.. (2022). Temporal and sequential transcriptional dynamics define lineage shifts in corticogenesis. The EMBO Journal. 41(24). e111132–e111132. 8 indexed citations
5.
6.
Julou, Thomas, et al.. (2020). Subpopulations of sensorless bacteria drive fitness in fluctuating environments. PLoS Biology. 18(12). e3000952–e3000952. 13 indexed citations
7.
Witz, Guillaume, Erik van Nimwegen, & Thomas Julou. (2019). Initiation of chromosome replication controls both division and replication cycles in E. coli through a double-adder mechanism. eLife. 8. 37 indexed citations
8.
Kaiser, Matthias, Florian Jug, Thomas Julou, et al.. (2018). Monitoring single-cell gene regulation under dynamically controllable conditions with integrated microfluidics and software. Nature Communications. 9(1). 212–212. 78 indexed citations
9.
Balwierz, Piotr J., Mikhail Pachkov, Phil Arnold, et al.. (2014). ISMARA: automated modeling of genomic signals as a democracy of regulatory motifs. Genome Research. 24(5). 869–884. 198 indexed citations
10.
Aceto, Nicola, Nina Sausgruber, Heike Brinkhaus, et al.. (2012). Tyrosine phosphatase SHP2 promotes breast cancer progression and maintains tumor-initiating cells via activation of key transcription factors and a positive feedback signaling loop. Nature Medicine. 18(4). 529–537. 210 indexed citations
11.
Pérez‐Schindler, Joaquín, Serge Summermatter, Silvia Salatino, et al.. (2012). The Corepressor NCoR1 Antagonizes PGC-1 α and Estrogen-Related Receptor α in the Regulation of Skeletal Muscle Function and Oxidative Metabolism. Molecular and Cellular Biology. 32(24). 4913–4924. 73 indexed citations
12.
Balwierz, Piotr J., Piero Carninci, Carsten O. Daub, et al.. (2009). Methods for analyzing deep sequencing expression data: constructing the human and mouse promoterome with deepCAGE data. Genome biology. 10(7). 109 indexed citations
13.
Pipkin, Matthew E., et al.. (2009). MicroRNA-221–222 Regulate the Cell Cycle in Mast Cells. The Journal of Immunology. 182(1). 433–445. 82 indexed citations
14.
Taddei, Angela, Griet Van Houwe, Shigeki Nagai, et al.. (2009). The functional importance of telomere clustering: Global changes in gene expression result from SIR factor dispersion. Genome Research. 19(4). 611–625. 100 indexed citations
15.
Schlecht, Ulrich, Ionas Erb, Philippe Demougin, et al.. (2008). Genome-wide Expression Profiling, In Vivo DNA Binding Analysis, and Probabilistic Motif Prediction Reveal Novel Abf1 Target Genes during Fermentation, Respiration, and Sporulation in Yeast. Molecular Biology of the Cell. 19(5). 2193–2207. 26 indexed citations
16.
Siddharthan, Rahul & Erik van Nimwegen. (2007). Detecting Regulatory Sites Using PhyloGibbs. Methods in molecular biology. 395. 381–402. 10 indexed citations
17.
Molina, Nacho & Erik van Nimwegen. (2007). Universal patterns of purifying selection at noncoding positions in bacteria. Genome Research. 18(1). 148–160. 49 indexed citations
18.
Nimwegen, Erik van. (2007). Finding regulatory elements and regulatory motifs: a general probabilistic framework. BMC Bioinformatics. 8(S6). 31 indexed citations
19.
Nimwegen, Erik van, Chikatoshi Kai, Jun Kawai, et al.. (2006). A Simple Physical Model Predicts Small Exon Length Variations. PLoS Genetics. 2(4). e45–e45. 62 indexed citations
20.
Zavolan, Mihaela, Erik van Nimwegen, & Terry Gaasterland. (2002). Splice Variation in Mouse Full-Length cDNAs Identified by Mapping to the Mouse Genome. Genome Research. 12(9). 1377–1385. 57 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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