Evert Bosdriesz

1.5k total citations
14 papers, 716 citations indexed

About

Evert Bosdriesz is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Evert Bosdriesz has authored 14 papers receiving a total of 716 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 6 papers in Oncology and 5 papers in Genetics. Recurrent topics in Evert Bosdriesz's work include Melanoma and MAPK Pathways (6 papers), Bacterial Genetics and Biotechnology (3 papers) and Gene Regulatory Network Analysis (3 papers). Evert Bosdriesz is often cited by papers focused on Melanoma and MAPK Pathways (6 papers), Bacterial Genetics and Biotechnology (3 papers) and Gene Regulatory Network Analysis (3 papers). Evert Bosdriesz collaborates with scholars based in Netherlands, Germany and United States. Evert Bosdriesz's co-authors include Bas Teusink, Frank J. Bruggeman, Douwe Molenaar, René Bernards, Lodewyk F.A. Wessels, Liqin Wang, Astrid Bosma, G. Tjitske Los-de Vries, Jan H.M. Schellens and Ji‐Ying Song and has published in prestigious journals such as Cell, Nature Communications and Bioinformatics.

In The Last Decade

Evert Bosdriesz

14 papers receiving 712 citations

Peers

Evert Bosdriesz
Evert Bosdriesz
Citations per year, relative to Evert Bosdriesz Evert Bosdriesz (= 1×) peers N. Sadananda Singh

Countries citing papers authored by Evert Bosdriesz

Since Specialization
Citations

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

Fields of papers citing papers by Evert Bosdriesz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Evert Bosdriesz. 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 Evert Bosdriesz. The network helps show where Evert Bosdriesz may publish in the future.

Co-authorship network of co-authors of Evert Bosdriesz

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

All Works

14 of 14 papers shown
1.
Bosdriesz, Evert, et al.. (2022). Identifying mutant-specific multi-drug combinations using comparative network reconstruction. iScience. 25(8). 104760–104760. 2 indexed citations
2.
Nadal, Ernest, Evert Bosdriesz, Salo Ooft, et al.. (2020). Multiple low dose therapy as an effective strategy to treat EGFR inhibitor-resistant NSCLC tumours. Nature Communications. 11(1). 3157–3157. 67 indexed citations
3.
Šuštić, Tonći, Evert Bosdriesz, Sake van Wageningen, Lodewyk F.A. Wessels, & René Bernards. (2019). RUNX2/CBFB modulates the response to MEK inhibitors through activation of receptor tyrosine kinases in KRAS-mutant colorectal cancer. Translational Oncology. 13(2). 201–211. 10 indexed citations
4.
Bosdriesz, Evert, Anirudh Prahallad, Bertram Klinger, et al.. (2018). Comparative Network Reconstruction using mixed integer programming. Bioinformatics. 34(17). i997–i1004. 6 indexed citations
5.
Klinger, Bertram, Torsten Groß, Anja Sieber, et al.. (2018). Modelling signalling networks from perturbation data. Bioinformatics. 34(23). 4079–4086. 14 indexed citations
6.
Wang, Liqin, Rodrigo Leite de Oliveira, Sanne C.F.A. Huijberts, et al.. (2018). An Acquired Vulnerability of Drug-Resistant Melanoma with Therapeutic Potential. Cell. 173(6). 1413–1425.e14. 230 indexed citations
7.
Bosdriesz, Evert, Meike T. Wortel, Jurgen R. Haanstra, et al.. (2018). Low affinity uniporter carrier proteins can increase net substrate uptake rate by reducing efflux. Scientific Reports. 8(1). 5576–5576. 25 indexed citations
8.
Bosdriesz, Evert, Joep de Ligt, Sara Mainardi, et al.. (2018). A System-wide Approach to Monitor Responses to Synergistic BRAF and EGFR Inhibition in Colorectal Cancer Cells. Molecular & Cellular Proteomics. 17(10). 1892–1908. 13 indexed citations
9.
Šuštić, Tonći, Sake van Wageningen, Evert Bosdriesz, et al.. (2018). A role for the unfolded protein response stress sensor ERN1 in regulating the response to MEK inhibitors in KRAS mutant colon cancers. Genome Medicine. 10(1). 24–24. 32 indexed citations
10.
Zheng, Xue, Daniël J. Vis, Alejandra Bruna, et al.. (2018). MAP3K1 and MAP2K4 mutations are associated with sensitivity to MEK inhibitors in multiple cancer models. Cell Research. 28(7). 719–729. 81 indexed citations
11.
Wortel, Meike T., Evert Bosdriesz, Bas Teusink, & Frank J. Bruggeman. (2016). Evolutionary pressures on microbial metabolic strategies in the chemostat. Scientific Reports. 6(1). 29503–29503. 25 indexed citations
12.
Bosdriesz, Evert, Stefanía Magnúsdóttir, Frank J. Bruggeman, Bas Teusink, & Douwe Molenaar. (2015). Binding proteins enhance specific uptake rate by increasing the substrate–transporter encounter rate. FEBS Journal. 282(12). 2394–2407. 21 indexed citations
13.
Bosdriesz, Evert, Douwe Molenaar, Bas Teusink, & Frank J. Bruggeman. (2015). How fast‐growing bacteria robustly tune their ribosome concentration to approximate growth‐rate maximization. FEBS Journal. 282(10). 2029–2044. 159 indexed citations
14.
Berkhout, Jan, Evert Bosdriesz, Emrah Nıkerel, et al.. (2013). How Biochemical Constraints of Cellular Growth Shape Evolutionary Adaptations in Metabolism. Genetics. 194(2). 505–512. 31 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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