Simone Kersten

1.9k total citations
9 papers, 513 citations indexed

About

Simone Kersten is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Simone Kersten has authored 9 papers receiving a total of 513 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Genetics and 3 papers in Immunology. Recurrent topics in Simone Kersten's work include RNA modifications and cancer (2 papers), Genomics and Rare Diseases (2 papers) and Pregnancy and preeclampsia studies (1 paper). Simone Kersten is often cited by papers focused on RNA modifications and cancer (2 papers), Genomics and Rare Diseases (2 papers) and Pregnancy and preeclampsia studies (1 paper). Simone Kersten collaborates with scholars based in Netherlands, United States and Germany. Simone Kersten's co-authors include Alexander Hoischen, Tuomo Mantere, Niels P. Riksen, Mihai G. Netea, Charlotte D.C.C. van der Heijden, Marlies P. Noz, Leo A. B. Joosten, Samuel T. Keating, Laszlo Groh and Henri Timmers and has published in prestigious journals such as Nature Cell Biology, Circulation Research and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Simone Kersten

8 papers receiving 510 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Simone Kersten Netherlands 6 268 152 103 71 34 9 513
Cankut Çubuk United Kingdom 15 362 1.4× 94 0.6× 71 0.7× 89 1.3× 46 1.4× 32 648
Kyeongkyu Kim South Korea 10 496 1.9× 90 0.6× 77 0.7× 96 1.4× 69 2.0× 13 792
Adam Yao Taiwan 6 298 1.1× 157 1.0× 59 0.6× 88 1.2× 47 1.4× 8 543
Semyon Kolmykov Russia 9 384 1.4× 78 0.5× 54 0.5× 92 1.3× 37 1.1× 19 528
Arne Soete Belgium 6 457 1.7× 95 0.6× 62 0.6× 68 1.0× 56 1.6× 8 622
Xueyun Ma China 14 363 1.4× 130 0.9× 89 0.9× 29 0.4× 76 2.2× 29 579
Yury A. Barbitoff Russia 14 274 1.0× 177 1.2× 26 0.3× 65 0.9× 18 0.5× 46 519
Anason Halees United States 9 458 1.7× 196 1.3× 60 0.6× 96 1.4× 27 0.8× 14 644
Lars Steinmüller Germany 7 228 0.9× 69 0.5× 209 2.0× 46 0.6× 49 1.4× 8 523

Countries citing papers authored by Simone Kersten

Since Specialization
Citations

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

Fields of papers citing papers by Simone Kersten

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simone Kersten

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

All Works

9 of 9 papers shown
1.
Made, Caspar I. van der, Simone Kersten, Musa M. Mhlanga, et al.. (2024). Multi-omic profiling of pathogen-stimulated primary immune cells. iScience. 27(8). 110471–110471.
2.
Saraiva-Agostinho, Nuno, Caspar I. van der Made, Simone Kersten, et al.. (2023). SUsPECT: a pipeline for variant effect prediction based on custom long-read transcriptomes for improved clinical variant annotation. BMC Genomics. 24(1). 305–305. 1 indexed citations
3.
Simons, Annet, Janneke Schuurs-Hoeijmakers, Evelien Zonneveld‐Huijssoon, et al.. (2022). Trio-based whole exome sequencing in patients with suspected sporadic inborn errors of immunity: A retrospective cohort study. eLife. 11. 4 indexed citations
4.
Ponsioen, Bas, Ravian L. van Ineveld, Simone Kersten, et al.. (2021). Quantifying single-cell ERK dynamics in colorectal cancer organoids reveals EGFR as an amplifier of oncogenic MAPK pathway signalling. Nature Cell Biology. 23(4). 377–390. 94 indexed citations
5.
Noz, Marlies P., Annemieke ter Telgte, Kim Wiegertjes, et al.. (2021). Pro-inflammatory Monocyte Phenotype During Acute Progression of Cerebral Small Vessel Disease. Frontiers in Cardiovascular Medicine. 8. 639361–639361. 10 indexed citations
6.
Heijden, Charlotte D.C.C. van der, Laszlo Groh, Samuel T. Keating, et al.. (2020). Catecholamines Induce Trained Immunity in Monocytes In Vitro and In Vivo. Circulation Research. 127(2). 269–283. 107 indexed citations
7.
Mantere, Tuomo, Simone Kersten, & Alexander Hoischen. (2019). Long-Read Sequencing Emerging in Medical Genetics. Frontiers in Genetics. 10. 256 indexed citations
8.
Heijden, Charlotte D.C.C. van der, E. Smeets, Erik H.J.G. Aarntzen, et al.. (2019). Arterial Wall Inflammation and Increased Hematopoietic Activity in Patients With Primary Aldosteronism. The Journal of Clinical Endocrinology & Metabolism. 105(5). e1967–e1980. 31 indexed citations
9.
Kersten, Simone & Francisco J. Arjona. (2016). Ion transport in the zebrafish kidney from a human disease angle: possibilities, considerations, and future perspectives. American Journal of Physiology-Renal Physiology. 312(1). F172–F189. 10 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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