Yannick Schrooders

651 total citations · 1 hit paper
7 papers, 366 citations indexed

About

Yannick Schrooders is a scholar working on Molecular Biology, Oncology and Surgery. According to data from OpenAlex, Yannick Schrooders has authored 7 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Oncology and 1 paper in Surgery. Recurrent topics in Yannick Schrooders's work include Epigenetics and DNA Methylation (2 papers), RNA modifications and cancer (1 paper) and Cancer Research and Treatments (1 paper). Yannick Schrooders is often cited by papers focused on Epigenetics and DNA Methylation (2 papers), RNA modifications and cancer (1 paper) and Cancer Research and Treatments (1 paper). Yannick Schrooders collaborates with scholars based in Netherlands, Switzerland and Germany. Yannick Schrooders's co-authors include Florian Caiment, Olivia Clayton, Ramona Nudischer, Marcha Verheijen, Hans Gmuender, Ralph Schlapbach, Matthias Lienhard, Bernd Timmermann, Stefano Gotta and Nathalie Selevsek and has published in prestigious journals such as Bioinformatics, Scientific Reports and Clinical Pharmacology & Therapeutics.

In The Last Decade

Yannick Schrooders

7 papers receiving 361 citations

Hit Papers

DMSO induces drastic chan... 2019 2026 2021 2023 2019 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yannick Schrooders Netherlands 5 121 49 41 38 33 7 366
Ramona Nudischer Switzerland 4 119 1.0× 49 1.0× 40 1.0× 42 1.1× 28 0.8× 6 345
Marcha Verheijen Netherlands 9 188 1.6× 53 1.1× 44 1.1× 41 1.1× 39 1.2× 17 464
Olivia Clayton Netherlands 3 113 0.9× 46 0.9× 40 1.0× 37 1.0× 29 0.9× 4 322
Małgorzata Józkowiak Poland 12 162 1.3× 75 1.5× 20 0.5× 43 1.1× 28 0.8× 30 355
Stefano Gotta Italy 7 240 2.0× 55 1.1× 46 1.1× 27 0.7× 82 2.5× 9 502
Eun Jin Lim South Korea 13 150 1.2× 49 1.0× 36 0.9× 67 1.8× 63 1.9× 23 602
Xiaoshuang Li China 12 203 1.7× 61 1.2× 17 0.4× 32 0.8× 32 1.0× 22 425
Zhiming Bai China 14 177 1.5× 46 0.9× 77 1.9× 42 1.1× 14 0.4× 27 465
Lenka Brůčková Czechia 13 131 1.1× 35 0.7× 34 0.8× 66 1.7× 60 1.8× 20 453
Jeanne Stadler France 9 156 1.3× 50 1.0× 45 1.1× 54 1.4× 28 0.8× 17 487

Countries citing papers authored by Yannick Schrooders

Since Specialization
Citations

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

Fields of papers citing papers by Yannick Schrooders

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yannick Schrooders

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

All Works

7 of 7 papers shown
1.
Jetten, Marlon J., Yannick Schrooders, Jacob J. Briedé, et al.. (2022). The Effects of the Food Additive Titanium Dioxide (E171) on Tumor Formation and Gene Expression in the Colon of a Transgenic Mouse Model for Colorectal Cancer. Nanomaterials. 12(8). 1256–1256. 14 indexed citations
2.
Baier, Vanessa, Olivia Clayton, Ramona Nudischer, et al.. (2021). A Model‐Based Workflow to Benchmark the Clinical Cholestasis Risk of Drugs. Clinical Pharmacology & Therapeutics. 110(5). 1293–1301. 2 indexed citations
3.
Caiment, Florian, et al.. (2020). Valproic acid promotes mitochondrial dysfunction in primary human hepatocytes in vitro; impact of C/EBPα-controlled gene expression. Archives of Toxicology. 94(10). 3463–3473. 14 indexed citations
4.
Gupta, Rajinder K., Yannick Schrooders, Marcha Verheijen, et al.. (2020). FuSe: a tool to move RNA-Seq analyses from chromosomal/gene loci to functional grouping of mRNA transcripts. Bioinformatics. 37(3). 375–381. 1 indexed citations
5.
Verheijen, Marcha, Matthias Lienhard, Yannick Schrooders, et al.. (2019). DMSO induces drastic changes in human cellular processes and epigenetic landscape in vitro. Scientific Reports. 9(1). 4641–4641. 286 indexed citations breakdown →
6.
Verheijen, Marcha, Yannick Schrooders, Hans Gmuender, et al.. (2018). Bringing in vitro analysis closer to in vivo: Studying doxorubicin toxicity and associated mechanisms in 3D human microtissues with PBPK-based dose modelling. Toxicology Letters. 294. 184–192. 29 indexed citations
7.
Xanthoulea, Sofia, Bert Delvoux, Margaretha A. Skowron, et al.. (2017). Blocking 17β‐hydroxysteroid dehydrogenase type 1 in endometrial cancer: a potential novel endocrine therapeutic approach. The Journal of Pathology. 244(2). 203–214. 20 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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