Marieke Everts

488 total citations
11 papers, 285 citations indexed

About

Marieke Everts is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Marieke Everts has authored 11 papers receiving a total of 285 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Oncology and 2 papers in Cell Biology. Recurrent topics in Marieke Everts's work include DNA Repair Mechanisms (7 papers), Cancer-related Molecular Pathways (3 papers) and Genomics and Chromatin Dynamics (2 papers). Marieke Everts is often cited by papers focused on DNA Repair Mechanisms (7 papers), Cancer-related Molecular Pathways (3 papers) and Genomics and Chromatin Dynamics (2 papers). Marieke Everts collaborates with scholars based in Netherlands, United States and United Kingdom. Marieke Everts's co-authors include M.F.W. te Pas, Henk P. Haagsman, Marcel A.T.M. van Vugt, Rudolf S.N. Fehrmann, Sergi Guerrero Llobet, Yannick P. Kok, Arkajyoti Bhattacharya, Bert van der Vegt, Pepijn M. Schoonen and Nathalie van den Tempel and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Molecular Cell.

In The Last Decade

Marieke Everts

9 papers receiving 279 citations

Peers

Marieke Everts

MB

ONCOL

ASZ

GENET

CR

Lucie Tůmová Czechia

Khemais Benhaj Tunisia

Jeong Hyo Lee South Korea

Jubayer A. Hossain Norway

Mengnan He China

Amanda McCormack United States

Meera Shah United States

Huishan Zhu China

Namit Singh United States

Roni Rak Israel

Lucie Tůmová Czechia

Marieke Everts

329 ×1.7

MB

94 ×1.0

ONCOL

16 ×0.3

ASZ

30 ×0.7

GENET

20 ×0.5

CR

Citations per year, relative to Marieke Everts Marieke Everts (= 1×) peers Lucie Tůmová

Countries citing papers authored by Marieke Everts

Since Specialization

Citations

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

Fields of papers citing papers by Marieke Everts

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marieke Everts

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

All Works

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11 of 11 papers shown

1.

Everts, Marieke, Arkajyoti Bhattacharya, Shibo Yu, et al.. (2025). MYC controls STING levels to downregulate inflammatory signaling in breast cancer cells upon DNA damage. Journal of Biological Chemistry. 301(6). 108560–108560.

2.

Ruan, Dike, Marieke Everts, J. Ross Chapman, et al.. (2025). CIP2A mediates mitotic recruitment of SLX4/MUS81/XPF to resolve replication stress-induced DNA lesions. Nature Communications. 17(1). 13–13.

3.

Kooij, Bert van de, Raphael Pavani, Arne van Hoeck, et al.. (2024). EXO1 protects BRCA1-deficient cells against toxic DNA lesions. Molecular Cell. 84(4). 659–674.e7. 20 indexed citations

4.

Llobet, Sergi Guerrero, Arkajyoti Bhattacharya, Marieke Everts, et al.. (2022). An mRNA expression-based signature for oncogene-induced replication-stress. Oncogene. 41(8). 1216–1224. 26 indexed citations

5.

Heijink, Anne Margriet, David Porubský, Jurrian K. de Kanter, et al.. (2022). Sister chromatid exchanges induced by perturbed replication can form independently of BRCA1, BRCA2 and RAD51. Nature Communications. 13(1). 6722–6722. 27 indexed citations

6.

Jong, Marion de, Fritz Andreae, Marieke Everts, et al.. (2021). Evaluation of Ac-Lys0(IRDye800CW)Tyr3-octreotate as a novel tracer for SSTR2-targeted molecular fluorescence guided surgery in meningioma. Journal of Neuro-Oncology. 153(2). 211–222. 7 indexed citations

7.

Llobet, Sergi Guerrero, Bert van der Vegt, Rico D. Bense, et al.. (2020). Cyclin E expression is associated with high levels of replication stress in triple-negative breast cancer. npj Breast Cancer. 6(1). 40–40. 31 indexed citations

8.

Kok, Yannick P., Sergi Guerrero Llobet, Pepijn M. Schoonen, et al.. (2020). Overexpression of Cyclin E1 or Cdc25A leads to replication stress, mitotic aberrancies, and increased sensitivity to replication checkpoint inhibitors. Oncogenesis. 9(10). 88–88. 51 indexed citations

9.

Heijink, Anne Margriet, Marieke Everts, Yannick P. Kok, et al.. (2019). Modeling of Cisplatin-Induced Signaling Dynamics in Triple-Negative Breast Cancer Cells Reveals Mediators of Sensitivity. Cell Reports. 28(9). 2345–2357.e5. 24 indexed citations

10.

Boer, H. Rudolf de, Marieke Everts, Douwe F. Samplonius, et al.. (2018). Quantitative proteomics analysis identifies MUC1 as an effect sensor of EGFR inhibition. Oncogene. 38(9). 1477–1488. 10 indexed citations

11.

Pas, M.F.W. te, Marieke Everts, & Henk P. Haagsman. (2004). Muscle development of livestock animals: physiology, genetics and meat quality. CABI Publishing eBooks. 89 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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