Josy ter Beek

1.3k total citations
27 papers, 980 citations indexed

About

Josy ter Beek is a scholar working on Molecular Biology, Oncology and Infectious Diseases. According to data from OpenAlex, Josy ter Beek has authored 27 papers receiving a total of 980 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 6 papers in Oncology and 5 papers in Infectious Diseases. Recurrent topics in Josy ter Beek's work include Drug Transport and Resistance Mechanisms (6 papers), Amino Acid Enzymes and Metabolism (5 papers) and Bacterial Genetics and Biotechnology (5 papers). Josy ter Beek is often cited by papers focused on Drug Transport and Resistance Mechanisms (6 papers), Amino Acid Enzymes and Metabolism (5 papers) and Bacterial Genetics and Biotechnology (5 papers). Josy ter Beek collaborates with scholars based in Sweden, Netherlands and United States. Josy ter Beek's co-authors include Dirk Jan Slotboom, Albert Guskov, Guus B. Erkens, Ronnie P.‐A. Berntsson, Ria H. Duurkens, Dmitry A. Rodionov, Aymerick Eudes, Mikhail S. Gelfand, Andrei L. Osterman and Andrew D. Hanson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.

In The Last Decade

Josy ter Beek

26 papers receiving 979 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Josy ter Beek Sweden 14 537 293 159 135 95 27 980
Vasundara Srinivasan Germany 16 726 1.4× 144 0.5× 229 1.4× 111 0.8× 54 0.6× 21 1.1k
Falko Hochgräfe Germany 22 962 1.8× 192 0.7× 72 0.5× 156 1.2× 134 1.4× 35 1.4k
Stathis Frillingos Greece 25 1.2k 2.2× 202 0.7× 201 1.3× 484 3.6× 103 1.1× 59 1.8k
Jungwon Hwang South Korea 18 619 1.2× 81 0.3× 144 0.9× 88 0.7× 60 0.6× 28 967
Suzanne O’Handley United States 12 1.2k 2.2× 159 0.5× 42 0.3× 203 1.5× 45 0.5× 18 1.5k
Jérôme Dupuy France 16 593 1.1× 45 0.2× 201 1.3× 120 0.9× 91 1.0× 23 1.3k
Jan Willem Kok Netherlands 18 712 1.3× 398 1.4× 61 0.4× 82 0.6× 238 2.5× 28 1.2k
Rita Cipollone Italy 12 459 0.9× 161 0.5× 37 0.2× 51 0.4× 87 0.9× 13 740
Jörg Mostertz Germany 16 620 1.2× 49 0.2× 70 0.4× 179 1.3× 46 0.5× 25 965
Nobutaka Nakashima Japan 26 1.5k 2.8× 112 0.4× 30 0.2× 275 2.0× 213 2.2× 74 2.1k

Countries citing papers authored by Josy ter Beek

Since Specialization
Citations

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

Fields of papers citing papers by Josy ter Beek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Josy ter Beek. 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 Josy ter Beek. The network helps show where Josy ter Beek may publish in the future.

Co-authorship network of co-authors of Josy ter Beek

This figure shows the co-authorship network connecting the top 25 collaborators of Josy ter Beek. A scholar is included among the top collaborators of Josy ter Beek 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 Josy ter Beek. Josy ter Beek 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.
Torrens, Gabriel, et al.. (2024). Breaking barriers: pCF10 type 4 secretion system relies on a self-regulating muramidase to modulate the cell wall. mBio. 15(8). e0048824–e0048824. 4 indexed citations
2.
Beek, Josy ter, et al.. (2024). In vitro reconstitution reveals membrane clustering and RNA recruitment by the enteroviral AAA+ ATPase 2C. PLoS Pathogens. 20(8). e1012388–e1012388.
3.
Espaillat, Akbar, Laura Álvarez, Gabriel Torrens, et al.. (2024). A distinctive family of L,D-transpeptidases catalyzing L-Ala-mDAP crosslinks in Alpha- and Betaproteobacteria. Nature Communications. 15(1). 1343–1343. 8 indexed citations
4.
Beek, Josy ter, et al.. (2023). Structural and functional characterization of TraI from pKM101 reveals basis for DNA processing. Life Science Alliance. 6(4). e202201775–e202201775. 3 indexed citations
5.
6.
7.
Irazoki, Oihane, Josy ter Beek, Laura Álvarez, et al.. (2023). d-amino acids signal a stress-dependent run-away response in Vibrio cholerae. Nature Microbiology. 8(8). 1549–1560. 18 indexed citations
8.
Camacho, Martha I., Julia L. E. Willett, Nicholas R. De Lay, et al.. (2021). Enterococcal PrgU Provides Additional Regulation of Pheromone-Inducible Conjugative Plasmids. mSphere. 6(3). e0026421–e0026421. 8 indexed citations
9.
Beek, Josy ter, et al.. (2021). The [4Fe4S] Cluster of Yeast DNA Polymerase ε Is Redox Active and Can Undergo DNA-Mediated Signaling. Journal of the American Chemical Society. 143(39). 16147–16153. 12 indexed citations
10.
Schmitt, Andreas, Helmut Hirt, Michael Järvå, et al.. (2020). Enterococcal PrgA Extends Far Outside the Cell and Provides Surface Exclusion to Protect against Unwanted Conjugation. Journal of Molecular Biology. 432(20). 5681–5695. 14 indexed citations
11.
Beek, Josy ter, Vimal Parkash, Göran Bylund, et al.. (2019). Structural evidence for an essential Fe–S cluster in the catalytic core domain of DNA polymerase ϵ. Nucleic Acids Research. 47(11). 5712–5722. 35 indexed citations
12.
Parkash, Vimal, Yashraj Kulkarni, Josy ter Beek, et al.. (2019). Structural consequence of the most frequently recurring cancer-associated substitution in DNA polymerase ε. Nature Communications. 10(1). 373–373. 37 indexed citations
13.
Beek, Josy ter, et al.. (2018). The insertion of the non-heme FeB cofactor into nitric oxide reductase from P. denitrificans depends on NorQ and NorD accessory proteins. Biochimica et Biophysica Acta (BBA) - Bioenergetics. 1859(10). 1051–1058. 21 indexed citations
14.
Beek, Josy ter, et al.. (2017). Modulation of protein function in membrane mimetics: Characterization of P. denitrificans cNOR in nanodiscs or liposomes. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1859(10). 1951–1961. 6 indexed citations
15.
Beek, Josy ter, Nils Krause, & Pia Ädelroth. (2016). Investigating the Proton Donor in the NO Reductase from Paracoccus denitrificans. PLoS ONE. 11(3). e0152745–e0152745. 9 indexed citations
16.
Beek, Josy ter, Albert Guskov, & Dirk Jan Slotboom. (2014). Structural diversity of ABC transporters. The Journal of General Physiology. 143(4). 419–435. 279 indexed citations
17.
Erkens, Guus B., et al.. (2012). Energy Coupling Factor-Type ABC Transporters for Vitamin Uptake in Prokaryotes. Biochemistry. 51(22). 4390–4396. 34 indexed citations
18.
Erkens, Guus B., Ronnie P.‐A. Berntsson, Andreja Vujičić‐Žagar, et al.. (2011). The structural basis of modularity in ECF-type ABC transporters. Nature Structural & Molecular Biology. 18(7). 755–760. 81 indexed citations
19.
Beek, Josy ter, Ria H. Duurkens, Guus B. Erkens, & Dirk Jan Slotboom. (2010). Quaternary Structure and Functional Unit of Energy Coupling Factor (ECF)-type Transporters. Journal of Biological Chemistry. 286(7). 5471–5475. 46 indexed citations
20.
Rodionov, Dmitry A., Aymerick Eudes, Josy ter Beek, et al.. (2008). A Novel Class of Modular Transporters for Vitamins in Prokaryotes. Journal of Bacteriology. 191(1). 42–51. 220 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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