Daniel S. Peeper

27.3k total citations · 6 hit papers
115 papers, 14.1k citations indexed

About

Daniel S. Peeper is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Daniel S. Peeper has authored 115 papers receiving a total of 14.1k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Molecular Biology, 57 papers in Oncology and 23 papers in Immunology. Recurrent topics in Daniel S. Peeper's work include Melanoma and MAPK Pathways (30 papers), Telomeres, Telomerase, and Senescence (20 papers) and Cancer Immunotherapy and Biomarkers (15 papers). Daniel S. Peeper is often cited by papers focused on Melanoma and MAPK Pathways (30 papers), Telomeres, Telomerase, and Senescence (20 papers) and Cancer Immunotherapy and Biomarkers (15 papers). Daniel S. Peeper collaborates with scholars based in Netherlands, United States and United Kingdom. Daniel S. Peeper's co-authors include Thomas Kuilman, Chrysiis Michaloglou, Wolter J. Mooi, Liesbeth C.W. Vredeveld, Benjamin D. Rowland, Sirith Douma, Thomas R. Geiger, René Bernards, Christophe Desmet and W. J. Mooi and has published in prestigious journals such as Nature, Science and New England Journal of Medicine.

In The Last Decade

Daniel S. Peeper

110 papers receiving 13.9k citations

Hit Papers

The essence of senescence: Figure 1. 2005 2026 2012 2019 2010 2005 2008 2009 2013 500 1000 1.5k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The essence of senescence: Figure 1.
    2010 1.6k citations Thomas Kuilman, Daniel S. Peeper et al. profile →
  2. BRAFE600-associated senescence-like cell cycle arrest of human naevi
    2005 1.6k citations Thomas Kuilman, Daniel S. Peeper et al. Nature profile →
  3. Oncogene-Induced Senescence Relayed by an Interleukin-Dependent Inflammatory Network
    2008 1.6k citations Thomas Kuilman, Remco van Doorn et al. profile →
  4. Senescence-messaging secretome: SMS-ing cellular stress
    2009 700 citations Thomas Kuilman, Daniel S. Peeper profile →
  5. A key role for mitochondrial gatekeeper pyruvate dehydrogenase in oncogene-induced senescence
    2013 477 citations Joanna Kaplon, Liang Zheng et al. Nature profile →
  6. Low MITF/AXL ratio predicts early resistance to multiple targeted drugs in melanoma
    2014 427 citations Oscar Krijgsman, Paulien Cornelissen‐Steijger et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel S. Peeper Netherlands 47 8.9k 4.6k 3.5k 2.6k 2.4k 115 14.1k
Lars Zender Germany 51 10.0k 1.1× 3.6k 0.8× 2.5k 0.7× 4.1k 1.6× 3.0k 1.3× 164 15.8k
Elinor Ng Eaton United States 16 9.4k 1.1× 8.1k 1.7× 3.0k 0.9× 3.6k 1.4× 1.3k 0.6× 19 15.9k
Eva Hernando United States 52 10.6k 1.2× 3.3k 0.7× 1.7k 0.5× 5.6k 2.2× 2.0k 0.8× 115 14.5k
Elisa Giannoni Italy 49 7.1k 0.8× 2.7k 0.6× 1.9k 0.5× 3.2k 1.2× 1.8k 0.8× 99 11.5k
Leif W. Ellisen United States 54 9.4k 1.1× 4.9k 1.1× 2.6k 0.7× 3.9k 1.5× 1.2k 0.5× 152 15.9k
Wenyi Wei United States 73 13.3k 1.5× 5.9k 1.3× 1.6k 0.4× 2.9k 1.1× 1.7k 0.7× 240 17.6k
Atsushi Hirao Japan 44 7.2k 0.8× 3.2k 0.7× 1.0k 0.3× 1.9k 0.7× 2.4k 1.0× 132 12.4k
Sandy Chang United States 46 7.6k 0.8× 3.2k 0.7× 4.9k 1.4× 1.4k 0.5× 888 0.4× 88 11.3k
Martin McMahon United States 72 12.9k 1.5× 7.2k 1.6× 997 0.3× 2.6k 1.0× 2.7k 1.1× 167 17.9k
Lawrence A. Donehower United States 59 12.1k 1.4× 9.0k 2.0× 1.4k 0.4× 3.4k 1.3× 1.4k 0.6× 148 17.7k

Countries citing papers authored by Daniel S. Peeper

Since Specialization
Citations

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

Fields of papers citing papers by Daniel S. Peeper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel S. Peeper. 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 Daniel S. Peeper. The network helps show where Daniel S. Peeper may publish in the future.

Co-authorship network of co-authors of Daniel S. Peeper

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel S. Peeper. A scholar is included among the top collaborators of Daniel S. Peeper 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 Daniel S. Peeper. Daniel S. Peeper 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.
Wagner, Jennifer K., David W. Vredevoogd, Xin Yu, et al.. (2025). TRAF2 and RIPK1 redundantly mediate classical NFκB signaling by TNFR1 and CD95-type death receptors. Cell Death and Disease. 16(1). 35–35. 5 indexed citations
2.
Nagel, Remco, Onno B. Bleijerveld, Natalie Proost, et al.. (2024). Chemotherapeutic agents and leucine deprivation induce codon-biased aberrant protein production in cancer. Nucleic Acids Research. 52(22). 13964–13979. 2 indexed citations
3.
Hoefsmit, Esmée P., Disha Rao, Petros Dimitriadis, et al.. (2023). Inhibitor of Apoptosis Proteins Antagonist Induces T-cell Proliferation after Cross-Presentation by Dendritic Cells. Cancer Immunology Research. 11(4). 450–465. 10 indexed citations
4.
Traets, Joleen J.H., et al.. (2023). The Elongin BC Complex Negatively Regulates AXL and Marks a Differentiated Phenotype in Melanoma. Molecular Cancer Research. 21(5). 428–443. 4 indexed citations
5.
6.
Rao, Disha, Ruben Lacroix, Petros Dimitriadis, et al.. (2023). Acidity‐mediated induction of FoxP3 + regulatory T cells. European Journal of Immunology. 53(6). e2250258–e2250258. 17 indexed citations
7.
Zhang, Zhengkui, Xiangjun Kong, Maarten A. Ligtenberg, et al.. (2022). RNF31 inhibition sensitizes tumors to bystander killing by innate and adaptive immune cells. Cell Reports Medicine. 3(6). 100655–100655. 30 indexed citations
8.
Krijgsman, Oscar, Kristel Kemper, Julia Boshuizen, et al.. (2021). Predictive Immune-Checkpoint Blockade Classifiers Identify Tumors Responding to Inhibition of PD-1 and/or CTLA-4. Clinical Cancer Research. 27(19). 5389–5400. 3 indexed citations
9.
Boshuizen, Julia, Nora Pencheva, Oscar Krijgsman, et al.. (2021). Cooperative Targeting of Immunotherapy-Resistant Melanoma and Lung Cancer by an AXL-Targeting Antibody–Drug Conjugate and Immune Checkpoint Blockade. Cancer Research. 81(7). 1775–1787. 48 indexed citations
10.
Sanchez, Ileine M., Timothy J. Purwin, Inna Chervoneva, et al.. (2019). In Vivo ERK1/2 Reporter Predictively Models Response and Resistance to Combined BRAF and MEK Inhibitors in Melanoma. Molecular Cancer Therapeutics. 18(9). 1637–1648. 16 indexed citations
11.
12.
Gallenne, Tristan, Kenneth N. Ross, Nils L. Visser, et al.. (2017). Systematic functional perturbations uncover a prognostic genetic network driving human breast cancer. Oncotarget. 8(13). 20572–20587. 30 indexed citations
13.
Lenain, Christelle, Carolyn A. de Graaf, Ludo Pagie, et al.. (2017). Massive reshaping of genome–nuclear lamina interactions during oncogene-induced senescence. Genome Research. 27(10). 1634–1644. 65 indexed citations
14.
Kemper, Kristel, Oscar Krijgsman, Paulien Cornelissen‐Steijger, et al.. (2015). Intra‐ and inter‐tumor heterogeneity in a vemurafenib‐resistant melanoma patient and derived xenografts. EMBO Molecular Medicine. 7(9). 1104–1118. 103 indexed citations
15.
Kaplon, Joanna, Hömig-Hölzel Cornelia, Katrin Meissl, et al.. (2014). Near‐genomewide RNA i screening for regulators of BRAF V 600E ‐induced senescence identifies RASEF , a gene epigenetically silenced in melanoma. Pigment Cell & Melanoma Research. 27(4). 640–652. 13 indexed citations
16.
Kemper, Kristel, Pauline L. de Goeje, Daniel S. Peeper, & Renée van Amerongen. (2014). Phenotype Switching: Tumor Cell Plasticity as a Resistance Mechanism and Target for Therapy. Cancer Research. 74(21). 5937–5941. 162 indexed citations
17.
Smit, Marjon A., Joost J. van den Oord, Jelle J. Goeman, et al.. (2013). Genome‐wide promoter methylation analysis identifies epigenetic silencing of MAPK13 in primary cutaneous melanoma. Pigment Cell & Melanoma Research. 26(4). 542–554. 49 indexed citations
18.
Kaplon, Joanna, Liang Zheng, Katrin Meissl, et al.. (2013). A key role for mitochondrial gatekeeper pyruvate dehydrogenase in oncogene-induced senescence. Nature. 498(7452). 109–112. 477 indexed citations breakdown →
19.
Mooi, W. J. & Daniel S. Peeper. (2006). Oncogene-Induced Cell Senescence — Halting on the Road to Cancer. New England Journal of Medicine. 355(10). 1037–1046. 280 indexed citations
20.
Peeper, Daniel S.. (1994). The G1/S cell-cycle checkpoint in eukaryotic cells. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 1198(2-3). 215–230. 36 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Lars Zender Breakdown of academic impact, for papers by Elinor Ng Eaton Breakdown of academic impact, for papers by Eva Hernando Breakdown of academic impact, for papers by Elisa Giannoni Breakdown of academic impact, for papers by Leif W. Ellisen Breakdown of academic impact, for papers by Wenyi Wei Breakdown of academic impact, for papers by Atsushi Hirao Breakdown of academic impact, for papers by Sandy Chang Breakdown of academic impact, for papers by Martin McMahon Breakdown of academic impact, for papers by Lawrence A. Donehower
Rankless by CCL
2026