Simon van Vliet

1.1k total citations · 1 hit paper
24 papers, 628 citations indexed

About

Simon van Vliet is a scholar working on Molecular Biology, Genetics and Sociology and Political Science. According to data from OpenAlex, Simon van Vliet has authored 24 papers receiving a total of 628 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 11 papers in Genetics and 7 papers in Sociology and Political Science. Recurrent topics in Simon van Vliet's work include Microbial Community Ecology and Physiology (7 papers), Gene Regulatory Network Analysis (7 papers) and Evolution and Genetic Dynamics (7 papers). Simon van Vliet is often cited by papers focused on Microbial Community Ecology and Physiology (7 papers), Gene Regulatory Network Analysis (7 papers) and Evolution and Genetic Dynamics (7 papers). Simon van Vliet collaborates with scholars based in Switzerland, Canada and United States. Simon van Vliet's co-authors include Martin Ackermann, Alma Dal Co, Susan Schlegel, Daniel J. Kiviet, Michael Doebeli, Bärbel Stecher, J. J. A. Baselmans, T. M. Klapwijk, R. Barends and J. R. Gao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Physical Review B.

In The Last Decade

Simon van Vliet

21 papers receiving 625 citations

Hit Papers

Short-range interactions govern the dynamics and function... 2020 2026 2022 2024 2020 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Simon van Vliet Switzerland 13 327 193 178 118 87 24 628
Jordi van Gestel United States 15 717 2.2× 264 1.4× 473 2.7× 224 1.9× 110 1.3× 26 1.1k
Lon M. Chubiz United States 14 328 1.0× 79 0.4× 239 1.3× 63 0.5× 130 1.5× 23 609
Alma Dal Co Switzerland 11 352 1.1× 176 0.9× 144 0.8× 75 0.6× 96 1.1× 15 565
Tobias Bergmiller Austria 15 457 1.4× 179 0.9× 319 1.8× 34 0.3× 89 1.0× 20 735
Jonas Cremer United States 16 403 1.2× 115 0.6× 381 2.1× 275 2.3× 122 1.4× 22 913
R. Fredrik Inglis Switzerland 15 304 0.9× 167 0.9× 294 1.7× 183 1.6× 58 0.7× 22 743
Alicia Sánchez-Gorostiaga Spain 13 745 2.3× 427 2.2× 310 1.7× 187 1.6× 74 0.9× 16 1.3k
Dave van Ditmarsch United States 9 260 0.8× 71 0.4× 171 1.0× 62 0.5× 54 0.6× 10 385
Jennifer T. Pentz United States 8 172 0.5× 56 0.3× 192 1.1× 158 1.3× 27 0.3× 16 406
Thomas Julou Switzerland 12 476 1.5× 74 0.4× 190 1.1× 53 0.4× 68 0.8× 15 783

Countries citing papers authored by Simon van Vliet

Since Specialization
Citations

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

Fields of papers citing papers by Simon van Vliet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simon van Vliet

This figure shows the co-authorship network connecting the top 25 collaborators of Simon van Vliet. A scholar is included among the top collaborators of Simon van Vliet 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 Simon van Vliet. Simon van Vliet 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.
Garza, Daniel, et al.. (2026). Spatial structure: shaping the ecology and evolution of microbial communities. FEMS Microbiology Reviews. 50.
2.
Rufián, José S., María Antonia Sánchez-Romero, Laurent Aussel, et al.. (2025). Pseudomonas syringae subpopulations cooperate by coordinating flagellar and type III secretion spatiotemporal dynamics to facilitate plant infection. Nature Microbiology. 10(4). 958–972. 4 indexed citations
3.
Holló, Gábor, et al.. (2025). Uptake and leakage rates differentially shape community arrangement and composition of microbial consortia. The ISME Journal. 19(1). 1 indexed citations
4.
Schubert, Olga T., et al.. (2025). Disentangling the feedback loops driving spatial patterning in microbial communities. npj Biofilms and Microbiomes. 11(1). 32–32. 5 indexed citations
5.
Kaczmarczyk, Andreas, Simon van Vliet, Roman P. Jakob, et al.. (2024). A genetically encoded biosensor to monitor dynamic changes of c-di-GMP with high temporal resolution. Nature Communications. 15(1). 3920–3920. 12 indexed citations
6.
7.
Co, Alma Dal, Martin Ackermann, & Simon van Vliet. (2023). Spatial self-organization of metabolism in microbial systems: A matter of enzymes and chemicals. Cell Systems. 14(2). 98–108. 12 indexed citations
8.
Vliet, Simon van, et al.. (2022). Frequency modulation of a bacterial quorum sensing response. Nature Communications. 13(1). 2772–2772. 14 indexed citations
9.
10.
Vliet, Simon van, et al.. (2022). Global dynamics of microbial communities emerge from local interaction rules. PLoS Computational Biology. 18(3). e1009877–e1009877. 19 indexed citations
11.
Co, Alma Dal, Simon van Vliet, Daniel J. Kiviet, Susan Schlegel, & Martin Ackermann. (2021). Author Correction: Short-range interactions govern the dynamics and functions of microbial communities. Nature Ecology & Evolution. 5(5). 701–701. 2 indexed citations
12.
Vliet, Simon van, et al.. (2021). Multilevel selection favors fragmentation modes that maintain cooperative interactions in multispecies communities. PLoS Computational Biology. 17(9). e1008896–e1008896. 8 indexed citations
13.
Co, Alma Dal, Simon van Vliet, Daniel J. Kiviet, Susan Schlegel, & Martin Ackermann. (2020). Short-range interactions govern the dynamics and functions of microbial communities. Nature Ecology & Evolution. 4(3). 366–375. 181 indexed citations breakdown →
14.
Vliet, Simon van & Michael Doebeli. (2019). The role of multilevel selection in host microbiome evolution. Proceedings of the National Academy of Sciences. 116(41). 20591–20597. 67 indexed citations
15.
Co, Alma Dal, Martin Ackermann, & Simon van Vliet. (2019). Metabolic activity affects the response of single cells to a nutrient switch in structured populations. Journal of The Royal Society Interface. 16(156). 20190182–20190182. 35 indexed citations
16.
Co, Alma Dal, Simon van Vliet, & Martin Ackermann. (2019). Emergent microscale gradients give rise to metabolic cross-feeding and antibiotic tolerance in clonal bacterial populations. Philosophical Transactions of the Royal Society B Biological Sciences. 374(1786). 20190080–20190080. 71 indexed citations
17.
Vliet, Simon van, et al.. (2018). Spatially Correlated Gene Expression in Bacterial Groups: The Role of Lineage History, Spatial Gradients, and Cell-Cell Interactions. Cell Systems. 6(4). 496–507.e6. 45 indexed citations
18.
Vliet, Simon van, et al.. (2016). L’État doit-il soutenir davantage les médias d’information ?. Érudit (Université de Montréal). 12–13.
19.
Vliet, Simon van & Martin Ackermann. (2015). Bacterial Ventures into Multicellularity: Collectivism through Individuality. PLoS Biology. 13(6). e1002162–e1002162. 21 indexed citations
20.
Vliet, Simon van, et al.. (2014). The effects of chemical interactions and culture history on the colonization of structured habitats by competing bacterial populations. BMC Microbiology. 14(1). 116–116. 23 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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