Bas van Steensel

31.9k total citations · 14 hit papers
131 papers, 22.1k citations indexed

About

Bas van Steensel is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Bas van Steensel has authored 131 papers receiving a total of 22.1k indexed citations (citations by other indexed papers that have themselves been cited), including 124 papers in Molecular Biology, 29 papers in Plant Science and 15 papers in Genetics. Recurrent topics in Bas van Steensel's work include Genomics and Chromatin Dynamics (100 papers), RNA Research and Splicing (55 papers) and RNA and protein synthesis mechanisms (25 papers). Bas van Steensel is often cited by papers focused on Genomics and Chromatin Dynamics (100 papers), RNA Research and Splicing (55 papers) and RNA and protein synthesis mechanisms (25 papers). Bas van Steensel collaborates with scholars based in Netherlands, United States and United Kingdom. Bas van Steensel's co-authors include Titia de Lange, Agata Smogorzewska, Mario Amendola, Eva K. Brinkman, Elzo de Wit, Tao Chen, Steven Henikoff, Ludo Pagie, Andrew S. Belmont and Wendy Talhout and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Bas van Steensel

128 papers receiving 21.9k citations

Hit Papers

Easy quantitative assessment of ... 1995 2026 2005 2015 2014 1998 2008 2006 1997 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bas van Steensel Netherlands 66 19.4k 4.2k 3.5k 2.7k 1.1k 131 22.1k
David M. Virshup United States 66 8.5k 0.4× 2.1k 0.5× 1.5k 0.4× 1.3k 0.5× 1.8k 1.6× 179 14.2k
Antoine H.F.M. Peters Switzerland 52 13.6k 0.7× 1.8k 0.4× 1.2k 0.4× 3.1k 1.2× 517 0.5× 95 15.6k
Naomi Habib United States 20 15.6k 0.8× 1.6k 0.4× 803 0.2× 3.2k 1.2× 592 0.5× 34 18.0k
Nigel P. Carter United Kingdom 50 8.1k 0.4× 2.9k 0.7× 1.9k 0.5× 6.9k 2.6× 423 0.4× 98 14.1k
Geneviève Almouzni France 76 17.1k 0.9× 3.1k 0.7× 615 0.2× 1.7k 0.7× 955 0.8× 198 18.4k
F. Ann Ran United States 19 29.0k 1.5× 3.0k 0.7× 817 0.2× 6.5k 2.4× 1.7k 1.5× 25 32.3k
G Yeo United States 81 20.6k 1.1× 1.4k 0.3× 960 0.3× 2.5k 0.9× 731 0.6× 239 25.2k
David Scott United States 34 20.7k 1.1× 2.1k 0.5× 736 0.2× 4.0k 1.5× 1.6k 1.4× 53 24.2k
Ernst Hafen Switzerland 70 14.5k 0.7× 1.4k 0.3× 1.8k 0.5× 3.0k 1.1× 3.6k 3.2× 153 22.1k
Gary Struhl United States 65 16.5k 0.8× 1.8k 0.4× 894 0.3× 3.5k 1.3× 4.3k 3.8× 95 18.7k

Countries citing papers authored by Bas van Steensel

Since Specialization
Citations

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

Fields of papers citing papers by Bas van Steensel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bas van Steensel

This figure shows the co-authorship network connecting the top 25 collaborators of Bas van Steensel. A scholar is included among the top collaborators of Bas van Steensel 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 Bas van Steensel. Bas van Steensel 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.
Liu, Ning Qing, Mikhail Magnitov, Tom van Schaik, et al.. (2025). Extrusion fountains are restricted by WAPL-dependent cohesin release and CTCF barriers. Nucleic Acids Research. 53(12). 3 indexed citations
2.
Eder, M, Mikhail Magnitov, Marcel de Haas, et al.. (2025). Functional maps of a genomic locus reveal confinement of an enhancer by its target gene. Science. 389(6766). eads6552–eads6552. 2 indexed citations
3.
Mathis, Nicolas, Ahmed Allam, András Tálas, et al.. (2024). Machine learning prediction of prime editing efficiency across diverse chromatin contexts. Nature Biotechnology. 43(5). 712–719. 27 indexed citations
4.
Kumar, Pradeep, Omid Gholamalamdari, Yang Zhang, et al.. (2024). Nucleolus and centromere Tyramide Signal Amplification-Seq reveals variable localization of heterochromatin in different cell types. Communications Biology. 7(1). 1135–1135. 4 indexed citations
5.
Papathanasiou, Stamatis, Shiwei Liu, Gregory J. Brunette, et al.. (2023). Heritable transcriptional defects from aberrations of nuclear architecture. Nature. 619(7968). 184–192. 42 indexed citations
6.
Schaik, Tom van, Stefano Giustino Manzo, Ning Qing Liu, et al.. (2022). Dynamic chromosomal interactions and control of heterochromatin positioning by Ki‐67. EMBO Reports. 23(12). e55782–e55782. 12 indexed citations
7.
Manzo, Stefano Giustino, et al.. (2022). Lamina-associated domains: Tethers and looseners. Current Opinion in Cell Biology. 74. 80–87. 41 indexed citations
8.
Engels, Sander, Anja J. de Jong, Katka Franke, et al.. (2021). m6A methylation potentiates cytosolic dsDNA recognition in a sequence-specific manner. Open Biology. 11(3). 210030–210030. 11 indexed citations
9.
Schaik, Tom van, et al.. (2020). Cell cycle dynamics of lamina‐associated DNA. EMBO Reports. 21(11). e50636–e50636. 77 indexed citations
10.
Lenain, Christelle, Carolyn A. de Graaf, Ludo Pagie, et al.. (2017). Massive reshaping of genome–nuclear lamina interactions during oncogene-induced senescence. Genome Research. 27(10). 1634–1644. 65 indexed citations
11.
Kind, Jop, Ludo Pagie, Sandra S. de Vries, et al.. (2015). Genome-wide Maps of Nuclear Lamina Interactions in Single Human Cells. Cell. 163(1). 134–147. 332 indexed citations
12.
Filion, Guillaume J., Joke G. van Bemmel, Ulrich Braunschweig, et al.. (2010). Systematic Protein Location Mapping Reveals Five Principal Chromatin Types in Drosophila Cells. Cell. 143(2). 212–224. 693 indexed citations breakdown →
13.
Braunschweig, Ulrich, et al.. (2009). Histone H1 binding is inhibited by histone variant H3.3. The EMBO Journal. 28(23). 3635–3645. 84 indexed citations
14.
Steensel, Bas van, et al.. (2009). Bayesian network analysis of targeting interactions in chromatin. Genome Research. 20(2). 190–200. 46 indexed citations
15.
Wit, Elzo de & Bas van Steensel. (2008). Chromatin domains in higher eukaryotes: insights from genome-wide mapping studies. Chromosoma. 118(1). 25–36. 48 indexed citations
16.
Moorman, Celine, Junbai Wang, Elzo de Wit, et al.. (2006). Hotspots of transcription factor colocalization in the genome of Drosophila melanogaster. Proceedings of the National Academy of Sciences. 103(32). 12027–12032. 152 indexed citations
17.
Simonis, Marieke, Petra Klous, Erik Splinter, et al.. (2006). Nuclear organization of active and inactive chromatin domains uncovered by chromosome conformation capture–on-chip (4C). Nature Genetics. 38(11). 1348–1354. 1020 indexed citations breakdown →
18.
Steensel, Bas van, Jeffrey J. Delrow, & Harmen J. Bussemaker. (2003). Genomewide analysis of Drosophila GAGA factor target genes reveals context-dependent DNA binding.. The Plant Journal. 743–749. 7 indexed citations
19.
Orian, Amir, Bas van Steensel, Jeffrey J. Delrow, et al.. (2003). Genomic binding by the Drosophila Myc, Max, Mad/Mnt transcription factor network. Genes & Development. 17(9). 1101–1114. 334 indexed citations
20.
Steensel, Bas van, Aernout D. van Haarst, E. R. de Kloet, & Roel van Driel. (1991). Binding of corticosteroid receptors to rat hippocampus nuclear matrix. FEBS Letters. 292(1-2). 229–231. 20 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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