Jaco van der Torre

2.4k total citations · 1 hit paper
29 papers, 1.6k citations indexed

About

Jaco van der Torre is a scholar working on Molecular Biology, Biomedical Engineering and Ecology. According to data from OpenAlex, Jaco van der Torre has authored 29 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 6 papers in Biomedical Engineering and 4 papers in Ecology. Recurrent topics in Jaco van der Torre's work include Genomics and Chromatin Dynamics (13 papers), Advanced biosensing and bioanalysis techniques (7 papers) and DNA and Nucleic Acid Chemistry (7 papers). Jaco van der Torre is often cited by papers focused on Genomics and Chromatin Dynamics (13 papers), Advanced biosensing and bioanalysis techniques (7 papers) and DNA and Nucleic Acid Chemistry (7 papers). Jaco van der Torre collaborates with scholars based in Netherlands, Austria and United States. Jaco van der Torre's co-authors include Cees Dekker, Ronald A. DePinho, Jan‐Hermen Dannenberg, Wing H. Wong, Jacqueline J.L. Jacobs, Gregory David, Sheng Zhong, Mahipal Ganji, Roman Barth and Eugene Kim and has published in prestigious journals such as Nature, Cell and Nucleic Acids Research.

In The Last Decade

Jaco van der Torre

28 papers receiving 1.6k citations

Hit Papers

CTCF is a DNA-tension-dependent barrier to cohesin-mediat... 2023 2026 2024 2025 2023 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jaco van der Torre Netherlands 19 1.3k 329 185 175 114 29 1.6k
Bram van den Broek Netherlands 24 1.1k 0.8× 279 0.8× 160 0.9× 91 0.5× 48 0.4× 42 1.6k
Paul L. Appleton United Kingdom 21 814 0.6× 172 0.5× 112 0.6× 327 1.9× 70 0.6× 33 1.4k
David Grünwald United States 25 2.0k 1.6× 323 1.0× 135 0.7× 41 0.2× 125 1.1× 46 2.8k
Hirohide Saito Japan 30 2.3k 1.8× 331 1.0× 227 1.2× 91 0.5× 32 0.3× 91 2.6k
Kalim U. Mir United Kingdom 16 1.4k 1.1× 496 1.5× 100 0.5× 49 0.3× 66 0.6× 30 1.8k
Catherine Schurra France 12 1.7k 1.3× 187 0.6× 230 1.2× 519 3.0× 129 1.1× 13 2.4k
Grigory S. Filonov United States 15 1.8k 1.4× 384 1.2× 110 0.6× 45 0.3× 128 1.1× 16 2.3k
Michael G. Poirier United States 35 3.3k 2.6× 214 0.7× 221 1.2× 111 0.6× 331 2.9× 102 3.8k
Alec R. Chapman United States 7 1.3k 1.0× 197 0.6× 379 2.0× 200 1.1× 117 1.0× 8 1.9k
Sanford H. Leuba United States 28 1.9k 1.5× 277 0.8× 199 1.1× 127 0.7× 133 1.2× 57 2.4k

Countries citing papers authored by Jaco van der Torre

Since Specialization
Citations

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

Fields of papers citing papers by Jaco van der Torre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jaco van der Torre. 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 Jaco van der Torre. The network helps show where Jaco van der Torre may publish in the future.

Co-authorship network of co-authors of Jaco van der Torre

This figure shows the co-authorship network connecting the top 25 collaborators of Jaco van der Torre. A scholar is included among the top collaborators of Jaco van der Torre 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 Jaco van der Torre. Jaco van der Torre 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.
Barth, Roman, Iain F. Davidson, Jaco van der Torre, et al.. (2025). SMC motor proteins extrude DNA asymmetrically and can switch directions. Cell. 188(3). 749–763.e21. 15 indexed citations
2.
Barth, Roman, Richard Janissen, Jaco van der Torre, et al.. (2025). Two CTCF motifs impede cohesin-mediated DNA loop extrusion. Molecular Cell. 85(23). 4304–4317.e9. 1 indexed citations
3.
Torre, Jaco van der, Sha Zhu, Prasanna Vasudevan Iyengar, et al.. (2024). UBE2D3 facilitates NHEJ by orchestrating ATM signalling through multi-level control of RNF168. Nature Communications. 15(1). 5032–5032. 2 indexed citations
4.
Barth, Roman, Biswajit Pradhan, Eugene Kim, et al.. (2023). Testing pseudotopological and nontopological models for SMC-driven DNA loop extrusion against roadblock-traversal experiments. Scientific Reports. 13(1). 8100–8100. 10 indexed citations
5.
Janissen, Richard, Roman Barth, Jaco van der Torre, et al.. (2023). Dynamic ParB–DNA interactions initiate and maintain a partition condensate for bacterial chromosome segregation. Nucleic Acids Research. 51(21). 11856–11875. 18 indexed citations
6.
Janissen, Richard, et al.. (2023). Single-molecule visualization of twin-supercoiled domains generated during transcription. Nucleic Acids Research. 52(4). 1677–1687. 15 indexed citations
7.
Davidson, Iain F., Roman Barth, Jaco van der Torre, et al.. (2023). CTCF is a DNA-tension-dependent barrier to cohesin-mediated loop extrusion. Nature. 616(7958). 822–827. 94 indexed citations breakdown →
8.
Soh, Young‐Min, Roman Barth, Biswajit Pradhan, et al.. (2022). ParB proteins can bypass DNA-bound roadblocks via dimer-dimer recruitment. Science Advances. 8(26). eabn3299–eabn3299. 32 indexed citations
9.
Bengtson, Michel, et al.. (2022). CRISPR-dCas9 based DNA detection scheme for diagnostics in resource-limited settings. Nanoscale. 14(5). 1885–1895. 20 indexed citations
10.
Kim, Eugene, et al.. (2022). Condensin-driven loop extrusion on supercoiled DNA. Nature Structural & Molecular Biology. 29(7). 719–727. 42 indexed citations
11.
Holub, Martin, et al.. (2022). Extracting and characterizing protein-free megabase-pair DNA for in vitro experiments. Cell Reports Methods. 2(12). 100366–100366. 2 indexed citations
12.
Pradhan, Biswajit, Roman Barth, Eugene Kim, et al.. (2022). SMC complexes can traverse physical roadblocks bigger than their ring size. Cell Reports. 41(3). 111491–111491. 87 indexed citations
13.
Krijger, Inge de, et al.. (2020). H3K36 dimethylation by MMSET promotes classical non-homologous end-joining at unprotected telomeres. Oncogene. 39(25). 4814–4827. 21 indexed citations
14.
Kim, Sung Hyun, Mahipal Ganji, Eugene Kim, et al.. (2018). DNA sequence encodes the position of DNA supercoils. eLife. 7. 58 indexed citations
15.
Yang, Wayne, Laura Restrepo-Pérez, Michel Bengtson, et al.. (2018). Detection of CRISPR-dCas9 on DNA with Solid-State Nanopores. Nano Letters. 18(10). 6469–6474. 91 indexed citations
16.
Ketterer, Philip, Adithya N. Ananth, Ankur Mishra, et al.. (2018). DNA origami scaffold for studying intrinsically disordered proteins of the nuclear pore complex. Nature Communications. 9(1). 902–902. 103 indexed citations
17.
Moatti, Nathalie, Sandra Segura‐Bayona, Jaco van der Torre, et al.. (2015). MAD2L2 controls DNA repair at telomeres and DNA breaks by inhibiting 5′ end resection. Nature. 521(7553). 537–540. 227 indexed citations
18.
Dekker, Marleen, et al.. (2006). Effective oligonucleotide-mediated gene disruption in ES cells lacking the mismatch repair protein MSH3. Gene Therapy. 13(8). 686–694. 31 indexed citations
19.
Dannenberg, Jan‐Hermen, Gregory David, Sheng Zhong, et al.. (2005). mSin3A corepressor regulates diverse transcriptional networks governing normal and neoplastic growth and survival. Genes & Development. 19(13). 1581–1595. 181 indexed citations
20.
Heideman, Daniëlle A.M., Renske D.M. Steenbergen, Jaco van der Torre, et al.. (2005). Oncolytic Adenovirus Expressing a p53 Variant Resistant to Degradation by HPV E6 Protein Exhibits Potent and Selective Replication in Cervical Cancer. Molecular Therapy. 12(6). 1083–1090. 25 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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