Jan Maarten van Dijl

17.5k total citations · 2 hit papers
293 papers, 12.0k citations indexed

About

Jan Maarten van Dijl is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Jan Maarten van Dijl has authored 293 papers receiving a total of 12.0k indexed citations (citations by other indexed papers that have themselves been cited), including 171 papers in Molecular Biology, 136 papers in Genetics and 86 papers in Ecology. Recurrent topics in Jan Maarten van Dijl's work include Bacterial Genetics and Biotechnology (135 papers), Bacteriophages and microbial interactions (86 papers) and RNA and protein synthesis mechanisms (63 papers). Jan Maarten van Dijl is often cited by papers focused on Bacterial Genetics and Biotechnology (135 papers), Bacteriophages and microbial interactions (86 papers) and RNA and protein synthesis mechanisms (63 papers). Jan Maarten van Dijl collaborates with scholars based in Netherlands, Germany and United Kingdom. Jan Maarten van Dijl's co-authors include Sierd Bron, Harold Tjalsma, Gerard Venema, Michael Hecker, Albert Bolhuis, Jan D.H. Jongbloed, Haike Antelmann, Wim J. Quax, Girbe Buist and Hermie J. M. Harmsen and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Jan Maarten van Dijl

288 papers receiving 11.8k citations

Hit Papers

align trajectories sort by overperformance

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.

Signal Peptide-Dependent Protein Transport in Bacillus subtilis : a Genome-Based Survey of the Secretome

2000 659 citations Jan D.H. Jongbloed, Sierd Bron et al. profile →
Overview of molecular typing methods for outbreak detection and epidemiological surveillance

2013 376 citations Jan Maarten van Dijl, Alex W. Friedrich et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jan Maarten van Dijl Netherlands	58	7.4k	4.2k	2.8k	1.9k	1.4k	293	12.0k
Waldemar Vollmer United Kingdom	68	8.3k 1.1×	6.5k 1.5×	3.9k 1.4×	1.9k 1.0×	899 0.7×	227	16.1k
Chris Whitfield Canada	62	7.5k 1.0×	4.3k 1.0×	3.3k 1.2×	994 0.5×	810 0.6×	190	15.9k
Jean‐Marc Ghigo France	52	6.3k 0.9×	2.4k 0.6×	2.0k 0.7×	1.2k 0.6×	549 0.4×	147	10.9k
Philippe Glaser France	60	5.5k 0.7×	2.9k 0.7×	1.6k 0.6×	1.6k 0.8×	2.2k 1.6×	180	12.6k
Ute Römling Sweden	64	9.9k 1.3×	3.8k 0.9×	2.5k 0.9×	914 0.5×	1.2k 0.9×	174	15.3k
Simon M. Cutting United Kingdom	48	4.9k 0.7×	2.9k 0.7×	3.0k 1.1×	1.5k 0.8×	1.1k 0.8×	122	9.1k
Abraham L. Sonenshein United States	67	8.8k 1.2×	6.6k 1.6×	3.7k 1.3×	3.8k 2.0×	1.3k 1.0×	176	14.0k
Shahriar Mobashery United States	69	8.3k 1.1×	2.3k 0.6×	1.2k 0.4×	2.6k 1.4×	712 0.5×	393	19.4k
Dominique Missiakas United States	62	7.8k 1.0×	3.0k 0.7×	1.2k 0.4×	4.6k 2.4×	594 0.4×	179	12.3k
Miguel Cámara United Kingdom	63	11.1k 1.5×	3.7k 0.9×	1.9k 0.7×	896 0.5×	753 0.5×	176	14.4k

Countries citing papers authored by Jan Maarten van Dijl

Since Specialization

Citations

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

Fields of papers citing papers by Jan Maarten van Dijl

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jan Maarten van Dijl. 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 Jan Maarten van Dijl. The network helps show where Jan Maarten van Dijl may publish in the future.

Co-authorship network of co-authors of Jan Maarten van Dijl

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

All Works

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20 of 20 papers shown

Maaß, Sandra, Zhichao Zhang, Min Wang, et al.. (2025). The secreted proteases Aur, ScpA, SspA and SspB suppress the virulence of Staphylococcus aureus USA300 by shaping the extracellular proteome. Virulence. 16(1). 2514790–2514790. 1 indexed citations

Monteiro, Rodrigo, Sjouke Piersma, Antoni P. A. Hendrickx, et al.. (2025). Outer membrane vesicles of carbapenem-resistant clinical Acinetobacter baumannii isolates protect both the vesicle-producing bacteria and non-resistant bacteria against carbapenems. Microbiological Research. 297. 128175–128175. 3 indexed citations

Suárez, Rocío Aguilar, Michael Kohlstedt, Jolanda Neef, et al.. (2024). Metabolic Profile of the Genome-Reduced Bacillus subtilis Strain IIG-Bs-27-39: An Attractive Chassis for Recombinant Protein Production. ACS Synthetic Biology. 13(7). 2199–2214. 2 indexed citations

Neef, Jolanda, Erin E. Zwack, Chih‐Ming Tsai, et al.. (2023). TLR4 sensing of IsdB of Staphylococcus aureus induces a proinflammatory cytokine response via the NLRP3-caspase-1 inflammasome cascade. mBio. 15(1). e0022523–e0022523. 9 indexed citations

Dijl, Jan Maarten van, et al.. (2023). Evaluation of Kdo-8-N ₃ incorporation into lipopolysaccharides of various Escherichia coli strains. RSC Chemical Biology. 4(11). 884–893. 1 indexed citations

Salazar, Manuela Gesell, Leif Steil, Stephan Michalik, et al.. (2023). Enhancing bacterial fitness and recombinant enzyme yield by engineering the quality control protease HtrA of Bacillus subtilis. Microbiology Spectrum. 11(6). e0177823–e0177823. 6 indexed citations

Abia, David, Alberto Díaz‐Talavera, Rocío Aguilar Suárez, et al.. (2021). A Conserved Class II Type Thioester Domain-Containing Adhesin Is Required for Efficient Conjugation in Bacillus subtilis. mBio. 12(2). 6 indexed citations

Glasner, Corinna, et al.. (2021). Bdellovibrio bacteriovorus: a potential ‘living antibiotic’ to control bacterial pathogens. Critical Reviews in Microbiology. 47(5). 630–646. 39 indexed citations

Suárez, Rocío Aguilar, et al.. (2021). Redirected Stress Responses in a Genome-Minimized ‘midi Bacillus ’ Strain with Enhanced Capacity for Protein Secretion. mSystems. 6(6). e0065521–e0065521. 9 indexed citations

10.

Fu, Youxin, Nadja A. Simeth, Stefano Crespi, et al.. (2021). Ultrafast Photoclick Reaction for Selective ¹⁸F-Positron Emission Tomography Tracer Synthesis in Flow. Journal of the American Chemical Society. 143(27). 10041–10047. 43 indexed citations

11.

Dijl, Jan Maarten van, Natacha Couto, Jan Zrimec, et al.. (2019). Determining the Virulence Properties of Escherichia coli ST131 Containing Bacteriocin-Encoding Plasmids Using Short- and Long-Read Sequencing and Comparing Them with Those of Other E. coli Lineages. Microorganisms. 7(11). 534–534. 6 indexed citations

12.

Mars, Ruben A., et al.. (2015). The reduction in small ribosomal subunit abundance in ethanol-stressed cells of Bacillus subtilis is mediated by a SigB-dependent antisense RNA. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1853(10). 2553–2559. 23 indexed citations

13.

Khan, M. Tanweer, Jan Maarten van Dijl, & Hermie J. M. Harmsen. (2014). Antioxidants Keep the Potentially Probiotic but Highly Oxygen-Sensitive Human Gut Bacterium Faecalibacterium prausnitzii Alive at Ambient Air. PLoS ONE. 9(5). e96097–e96097. 70 indexed citations

14.

Otto, Andreas, Jan Maarten van Dijl, Michael Hecker, & Dörte Becher. (2013). The Staphylococcus aureus proteome. International Journal of Medical Microbiology. 304(2). 110–120. 29 indexed citations

15.

Goosens, Vivianne J., Carmine G. Monteferrante, & Jan Maarten van Dijl. (2013). The Tat system of Gram-positive bacteria. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1843(8). 1698–1706. 72 indexed citations

16.

Khan, M. Tanweer, Wesley R. Browne, Jan Maarten van Dijl, & Hermie J. M. Harmsen. (2012). How Can Faecalibacterium prausnitzii Employ Riboflavin for Extracellular Electron Transfer?. Antioxidants and Redox Signaling. 17(10). 1433–1440. 52 indexed citations

17.

Becher, Dörte, Kristina Hempel, Susanne Sievers, et al.. (2009). A Proteomic View of an Important Human Pathogen – Towards the Quantification of the Entire Staphylococcus aureus Proteome. PLoS ONE. 4(12). e8176–e8176. 125 indexed citations

18.

Yuan, Jijun, Jessica C. Zweers, Jan Maarten van Dijl, & Ross Dalbey. (2009). Protein transport across and into cell membranes in bacteria and archaea. Cellular and Molecular Life Sciences. 67(2). 179–199. 71 indexed citations

19.

Meißner, Daniel, Annah Vollstedt, Jan Maarten van Dijl, & Roland Freudl. (2007). Comparative analysis of twin-arginine (Tat)-dependent protein secretion of a heterologous model protein (GFP) in three different Gram-positive bacteria. Applied Microbiology and Biotechnology. 76(3). 633–642. 65 indexed citations

20.

Jongbloed, Jan D.H., Haike Antelmann, Michael Hecker, et al.. (2004). Two minimal Tat translocases in Bacillus. Molecular Microbiology. 54(5). 1319–1325. 155 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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