Peter L.J. de Keizer

2.9k total citations
24 papers, 1.1k citations indexed

About

Peter L.J. de Keizer is a scholar working on Molecular Biology, Physiology and Aging. According to data from OpenAlex, Peter L.J. de Keizer has authored 24 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 11 papers in Physiology and 5 papers in Aging. Recurrent topics in Peter L.J. de Keizer's work include FOXO transcription factor regulation (12 papers), Telomeres, Telomerase, and Senescence (10 papers) and Genetics, Aging, and Longevity in Model Organisms (5 papers). Peter L.J. de Keizer is often cited by papers focused on FOXO transcription factor regulation (12 papers), Telomeres, Telomerase, and Senescence (10 papers) and Genetics, Aging, and Longevity in Model Organisms (5 papers). Peter L.J. de Keizer collaborates with scholars based in Netherlands, United States and United Kingdom. Peter L.J. de Keizer's co-authors include Boudewijn Burgering, Arjan B. Brenkman, Tobias B. Dansen, Niels J. F. van den Broek, Aart G. Jochemsen, Judith Campisi, Diana A. Putavet, Dik van Leenen, Frank C. P. Holstege and Marian J.A. Groot Koerkamp and has published in prestigious journals such as Nature Communications, PLoS ONE and Cancer Research.

In The Last Decade

Peter L.J. de Keizer

23 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter L.J. de Keizer Netherlands 15 719 285 173 167 147 24 1.1k
Т. В. Поспелова Russia 14 724 1.0× 282 1.0× 91 0.5× 117 0.7× 215 1.5× 46 1.1k
Tristan V. de Jong Netherlands 9 561 0.8× 415 1.5× 183 1.1× 101 0.6× 111 0.8× 10 1.0k
Nicolas Malaquin Canada 16 545 0.8× 538 1.9× 247 1.4× 94 0.6× 188 1.3× 20 1.0k
Sharon Olijslagers United Kingdom 8 572 0.8× 539 1.9× 174 1.0× 153 0.9× 128 0.9× 9 1.1k
Valery A. Pospelov Russia 18 951 1.3× 377 1.3× 81 0.5× 164 1.0× 237 1.6× 35 1.3k
Nancy Bae United States 10 1.0k 1.4× 533 1.9× 141 0.8× 112 0.7× 150 1.0× 11 1.4k
Robyn Laura Kosinsky Germany 19 841 1.2× 297 1.0× 233 1.3× 71 0.4× 181 1.2× 34 1.3k
Hui‐Ling Ou Germany 7 459 0.6× 285 1.0× 125 0.7× 163 1.0× 104 0.7× 9 833
Antonia Tomás‐Loba Spain 7 805 1.1× 386 1.4× 74 0.4× 195 1.2× 300 2.0× 9 1.1k
Ethan A. Sarnoski United States 6 500 0.7× 535 1.9× 227 1.3× 136 0.8× 55 0.4× 7 1.1k

Countries citing papers authored by Peter L.J. de Keizer

Since Specialization
Citations

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

Fields of papers citing papers by Peter L.J. de Keizer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter L.J. de Keizer. 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 Peter L.J. de Keizer. The network helps show where Peter L.J. de Keizer may publish in the future.

Co-authorship network of co-authors of Peter L.J. de Keizer

This figure shows the co-authorship network connecting the top 25 collaborators of Peter L.J. de Keizer. A scholar is included among the top collaborators of Peter L.J. de Keizer 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 Peter L.J. de Keizer. Peter L.J. de Keizer 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.
2.
Giuliani, Maria Elisa, Beatrice Bartozzi, Marta Balietti, et al.. (2025). A Novel Cognitive Frailty Index for Geriatric Mice. Aging Cell. 24(7). e70056–e70056.
3.
Bourgeois, Benjamin, Emil Spreitzer, Margret Paar, et al.. (2025). The disordered p53 transactivation domain is the target of FOXO4 and the senolytic compound FOXO4-DRI. Nature Communications. 16(1). 5672–5672. 3 indexed citations
4.
Slaets, Helena, et al.. (2024). Are immunosenescent T cells really senescent?. Aging Cell. 23(10). e14300–e14300. 15 indexed citations
5.
Tuerlings, Margo, Rodrigo Coutinho de Almeida, Johannes Lehmann, et al.. (2023). Identified senescence endotypes in aged cartilage are reflected in the blood metabolome. GeroScience. 46(2). 2359–2369. 9 indexed citations
6.
Vegna, Serena, Kerstin Hahn, Ji‐Ying Song, et al.. (2022). Re-purposing the pro-senescence properties of doxorubicin to introduce immunotherapy in breast cancer brain metastasis. Cell Reports Medicine. 3(11). 100821–100821. 32 indexed citations
7.
Lehmann, Johannes, Roberto Narcisi, Cindy G. Boer, et al.. (2022). WNT/beta-catenin signalling interrupts a senescence-induction cascade in human mesenchymal stem cells that restricts their expansion. Cellular and Molecular Life Sciences. 79(2). 82–82. 24 indexed citations
8.
Putavet, Diana A. & Peter L.J. de Keizer. (2021). Residual Disease in Glioma Recurrence: A Dangerous Liaison with Senescence. Cancers. 13(7). 1560–1560. 18 indexed citations
9.
Willigenburg, Hester van, Peter L.J. de Keizer, & Ron W.F. de Bruin. (2018). Cellular senescence as a therapeutic target to improve renal transplantation outcome. Pharmacological Research. 130. 322–330. 28 indexed citations
10.
Keizer, Peter L.J. de. (2016). The Fountain of Youth by Targeting Senescent Cells?. Trends in Molecular Medicine. 23(1). 6–17. 91 indexed citations
11.
Kruiswijk, Flore, Sebastian C. Hasenfuss, Renuka Sivapatham, et al.. (2015). Targeted inhibition of metastatic melanoma through interference with Pin1-FOXM1 signaling. Oncogene. 35(17). 2166–2177. 48 indexed citations
12.
Keizer, Peter L.J. de & Judith Campisi. (2012). Abstract 4850: Sensitization to chemotherapy through interference with FOXO4 - a pivotal node between senescence and apoptosis. Cancer Research. 72(8_Supplement). 4850–4850. 1 indexed citations
13.
Keizer, Peter L.J. de, Emile Spalburg, Albert J. de Neeling, et al.. (2012). ‘Inverted’ analogs of the antibiotic gramicidin S with an improved biological profile. Bioorganic & Medicinal Chemistry. 20(20). 6059–6062. 8 indexed citations
14.
Laberge, Rémi-Martin, Lili Zhou, Melissa R. Sarantos, et al.. (2012). Glucocorticoids suppress selected components of the senescence‐associated secretory phenotype. Aging Cell. 11(4). 569–578. 172 indexed citations
15.
Keizer, Peter L.J. de & Judith Campisi. (2011). Abstract C35: A pivotal role for FOXO4 in the regulation of cellular senescence and apoptosis. Cancer Research. 71(18_Supplement). C35–C35. 1 indexed citations
16.
Keizer, Peter L.J. de, Boudewijn Burgering, & Tobias B. Dansen. (2010). Forkhead Box O as a Sensor, Mediator, and Regulator of Redox Signaling. Antioxidants and Redox Signaling. 14(6). 1093–1106. 113 indexed citations
17.
Keizer, Peter L.J. de, Leisl Packer, Niels J. F. van den Broek, et al.. (2010). Activation of Forkhead Box O Transcription Factors by Oncogenic BRAF Promotes p21cip1-Dependent Senescence. Cancer Research. 70(21). 8526–8536. 74 indexed citations
18.
Dansen, Tobias B., Lydia M.M. Smits, Peter L.J. de Keizer, et al.. (2009). Redox-sensitive cysteines bridge p300/CBP-mediated acetylation and FoxO4 activity. Nature Chemical Biology. 5(9). 664–672. 165 indexed citations
19.
Brenkman, Arjan B., Peter L.J. de Keizer, Niels J. F. van den Broek, et al.. (2008). The Peptidyl-Isomerase Pin1 Regulates p27kip1 Expression through Inhibition of Forkhead Box O Tumor Suppressors. Cancer Research. 68(18). 7597–7605. 59 indexed citations
20.
Brenkman, Arjan B., Peter L.J. de Keizer, Niels J. F. van den Broek, Aart G. Jochemsen, & Boudewijn Burgering. (2008). Mdm2 Induces Mono-Ubiquitination of FOXO4. PLoS ONE. 3(7). e2819–e2819. 109 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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