Oliver Dreesen

4.5k total citations · 1 hit paper
36 papers, 2.4k citations indexed

About

Oliver Dreesen is a scholar working on Molecular Biology, Physiology and Cell Biology. According to data from OpenAlex, Oliver Dreesen has authored 36 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 13 papers in Physiology and 9 papers in Cell Biology. Recurrent topics in Oliver Dreesen's work include Nuclear Structure and Function (11 papers), Telomeres, Telomerase, and Senescence (11 papers) and RNA Research and Splicing (9 papers). Oliver Dreesen is often cited by papers focused on Nuclear Structure and Function (11 papers), Telomeres, Telomerase, and Senescence (11 papers) and RNA Research and Splicing (9 papers). Oliver Dreesen collaborates with scholars based in Singapore, United States and France. Oliver Dreesen's co-authors include Audrey S. Wang, Ali H. Brivanlou, Alan Colman, Peh Fern Ong, George Cross, Alexandre Chojnowski, Colin L. Stewart, Chin Yee Ho, Elena Presecan-Siedel and Tamara Hoffmann and has published in prestigious journals such as Nature, Nucleic Acids Research and Nature Communications.

In The Last Decade

Oliver Dreesen

36 papers receiving 2.4k citations

Hit Papers

Biomarkers of Cellular Senescence and Skin Aging 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Oliver Dreesen Singapore 25 1.4k 466 398 371 315 36 2.4k
Michael G. Kemp United States 27 1.3k 1.0× 201 0.4× 245 0.6× 252 0.7× 79 0.3× 80 2.1k
Kamil Can Akçalı Türkiye 23 912 0.7× 169 0.4× 203 0.5× 468 1.3× 293 0.9× 61 2.1k
Qiong Zhou China 25 975 0.7× 118 0.3× 146 0.4× 303 0.8× 83 0.3× 88 2.0k
Rita Rosenthal Germany 30 1.5k 1.1× 202 0.4× 110 0.3× 195 0.5× 87 0.3× 61 2.8k
Marinilce Fagundes dos Santos Brazil 27 926 0.7× 278 0.6× 93 0.2× 311 0.8× 134 0.4× 84 2.2k
Yoshinori Sugiyama Japan 24 972 0.7× 129 0.3× 330 0.8× 586 1.6× 88 0.3× 36 1.9k
Jeung‐Hoon Lee South Korea 28 1.2k 0.9× 181 0.4× 1.1k 2.7× 873 2.4× 379 1.2× 164 3.4k
Young‐Ho Park South Korea 25 1.3k 0.9× 98 0.2× 86 0.2× 232 0.6× 158 0.5× 86 2.1k
Hans Törmä Sweden 28 1.3k 1.0× 141 0.3× 754 1.9× 792 2.1× 138 0.4× 95 2.5k
Christina Cheng United States 21 1.9k 1.4× 141 0.3× 492 1.2× 1.5k 4.1× 166 0.5× 27 3.6k

Countries citing papers authored by Oliver Dreesen

Since Specialization
Citations

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

Fields of papers citing papers by Oliver Dreesen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Oliver Dreesen

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

All Works

20 of 20 papers shown
1.
Dreesen, Oliver, et al.. (2023). The role of cellular senescence in skin aging and age-related skin pathologies. Frontiers in Physiology. 14. 1297637–1297637. 53 indexed citations
2.
Xu, Ziyan, Fiona Chang, Nikenza Viceconte, et al.. (2023). ZNF524 directly interacts with telomeric DNA and supports telomere integrity. Nature Communications. 14(1). 8252–8252. 4 indexed citations
3.
Jarrold, Bradley B., Chin Yee Ho, TuKiet T. Lam, et al.. (2022). Early onset of senescence and imbalanced epidermal homeostasis across the decades in photoexposed human skin: Fingerprints of inflammaging. Experimental Dermatology. 31(11). 1748–1760. 18 indexed citations
4.
Dainichi, Teruki, Yuri Nakano, Hiromi Doi, et al.. (2022). C10orf99/GPR15L Regulates Proinflammatory Response of Keratinocytes and Barrier Formation of the Skin. Frontiers in Immunology. 13. 825032–825032. 12 indexed citations
5.
Dreesen, Oliver & Brian K. Kennedy. (2021). Hutchinson-Gilford Progeria paves the way for novel targeted anti-aging therapies. Med. 2(4). 353–354. 1 indexed citations
6.
Tan, Chye Ling, et al.. (2021). Nicotinamide Prevents UVB- and Oxidative Stress‒Induced Photoaging in Human Primary Keratinocytes. Journal of Investigative Dermatology. 142(6). 1670–1681.e12. 41 indexed citations
7.
Giam, Maybelline, et al.. (2020). P53 induces senescence in the unstable progeny of aneuploid cells. Cell Cycle. 19(24). 3508–3520. 5 indexed citations
8.
Ong, Peh Fern, et al.. (2019). Premature aging syndromes: From patients to mechanism. Journal of Dermatological Science. 96(2). 58–65. 32 indexed citations
9.
Aguado, Julio, Agustín Sola-Carvajal, Valeria Cancila, et al.. (2019). Inhibition of DNA damage response at telomeres improves the detrimental phenotypes of Hutchinson–Gilford Progeria Syndrome. Nature Communications. 10(1). 4990–4990. 86 indexed citations
11.
Chojnowski, Alexandre, Radoslaw M. Sobota, Peh Fern Ong, et al.. (2018). 2C-BioID: An Advanced Two Component BioID System for Precision Mapping of Protein Interactomes. iScience. 10. 40–52. 31 indexed citations
12.
Szmyd, Radosław, M. Kasim Diril, Konstantinos Tzelepis, et al.. (2018). Premature activation of Cdk1 leads to mitotic events in S phase and embryonic lethality. Oncogene. 38(7). 998–1018. 49 indexed citations
13.
Wang, Audrey S. & Oliver Dreesen. (2018). Biomarkers of Cellular Senescence and Skin Aging. Frontiers in Genetics. 9. 247–247. 309 indexed citations breakdown →
14.
Wang, Audrey S., Peh Fern Ong, Alexandre Chojnowski, Carlos Clavel, & Oliver Dreesen. (2017). Loss of lamin B1 is a biomarker to quantify cellular senescence in photoaged skin. Scientific Reports. 7(1). 15678–15678. 98 indexed citations
15.
Hovel-Miner, Galadriel, Catharine Boothroyd, Monica R. Mugnier, et al.. (2012). Telomere Length Affects the Frequency and Mechanism of Antigenic Variation in Trypanosoma brucei. PLoS Pathogens. 8(8). e1002900–e1002900. 56 indexed citations
16.
Colman, Alan & Oliver Dreesen. (2009). Pluripotent Stem Cells and Disease Modeling. Cell stem cell. 5(3). 244–247. 73 indexed citations
17.
Boothroyd, Catharine, Oliver Dreesen, Tatyana Leonova, et al.. (2009). A yeast-endonuclease-generated DNA break induces antigenic switching in Trypanosoma brucei. Nature. 459(7244). 278–281. 111 indexed citations
18.
Dreesen, Oliver & George Cross. (2007). Telomere length in Trypanosoma brucei. Experimental Parasitology. 118(1). 103–110. 10 indexed citations
19.
Dreesen, Oliver & Ali H. Brivanlou. (2007). Signaling Pathways in Cancer and Embryonic Stem Cells. Stem Cell Reviews and Reports. 3(1). 7–17. 288 indexed citations
20.
Dreesen, Oliver, Bibo Li, & George Cross. (2006). Telomere structure and function in trypanosomes: a proposal. Nature Reviews Microbiology. 5(1). 70–75. 47 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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