Simon van Vliet

56 total papers · 1.1k total citations
23 papers, 605 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 23 papers receiving a total of 605 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 Gene Regulatory Network Analysis (7 papers), Evolution and Genetic Dynamics (7 papers) and Evolutionary Game Theory and Cooperation (7 papers). Simon van Vliet is often cited by papers focused on Gene Regulatory Network Analysis (7 papers), Evolution and Genetic Dynamics (7 papers) and Evolutionary Game Theory and Cooperation (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, Michael Doebeli, Susan Schlegel, Daniel J. Kiviet, Bärbel Stecher, T. M. Klapwijk, S. J. C. Yates, J. J. A. Baselmans 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 603 citations

Hit Papers

Short-range interactions ... 2020 2026 2022 2024 2020 50 100 150

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Simon van Vliet 324 181 176 116 85 23 605
Lon M. Chubiz 326 1.0× 77 0.4× 238 1.4× 63 0.5× 129 1.5× 23 603
Alma Dal Co 351 1.1× 168 0.9× 144 0.8× 74 0.6× 95 1.1× 15 551
Severin Schink 388 1.2× 85 0.5× 199 1.1× 26 0.2× 76 0.9× 13 570
Anand Pai 447 1.4× 50 0.3× 245 1.4× 71 0.6× 106 1.2× 14 698
Francisco Javier Marcos‐Torres 399 1.2× 232 1.3× 156 0.9× 31 0.3× 77 0.9× 15 667
Jun-ichi Wakita 202 0.6× 111 0.6× 124 0.7× 62 0.5× 179 2.1× 26 665
Timothy J. Rudge 337 1.0× 70 0.4× 113 0.6× 33 0.3× 198 2.3× 25 579
Daniel R. Amor 212 0.7× 140 0.8× 151 0.9× 146 1.3× 37 0.4× 18 549
Matti Gralka 308 1.0× 259 1.4× 167 0.9× 104 0.9× 58 0.7× 16 652
Setsu Kato 365 1.1× 80 0.4× 220 1.3× 9 0.1× 117 1.4× 14 530

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

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026