Martijn E.T. Dollé

9.4k total citations · 1 hit paper
115 papers, 5.8k citations indexed

About

Martijn E.T. Dollé is a scholar working on Molecular Biology, Physiology and Genetics. According to data from OpenAlex, Martijn E.T. Dollé has authored 115 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Molecular Biology, 28 papers in Physiology and 28 papers in Genetics. Recurrent topics in Martijn E.T. Dollé's work include DNA Repair Mechanisms (29 papers), Genetics, Aging, and Longevity in Model Organisms (19 papers) and CRISPR and Genetic Engineering (14 papers). Martijn E.T. Dollé is often cited by papers focused on DNA Repair Mechanisms (29 papers), Genetics, Aging, and Longevity in Model Organisms (19 papers) and CRISPR and Genetic Engineering (14 papers). Martijn E.T. Dollé collaborates with scholars based in Netherlands, United States and Germany. Martijn E.T. Dollé's co-authors include Jan Vijg, Harry van Steeg, Judith Campisi, Jan H.J. Hoeijmakers, Rita A. Busuttil, Alain de Bruin, Sameh A. Youssef, Marco Demaria, Eiji Hara and James R. Mitchell and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Martijn E.T. Dollé

112 papers receiving 5.7k citations

Hit Papers

An Essential Role for Sen... 2014 2026 2018 2022 2014 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martijn E.T. Dollé Netherlands 39 3.1k 1.8k 898 811 635 115 5.8k
Björn Schumacher Germany 38 4.1k 1.4× 949 0.5× 816 0.9× 1.4k 1.7× 953 1.5× 129 6.7k
Zhenyu Ju China 41 2.8k 0.9× 1.7k 0.9× 699 0.8× 490 0.6× 665 1.0× 151 5.6k
Warren Ladiges United States 39 3.7k 1.2× 1.7k 1.0× 574 0.6× 1.1k 1.3× 372 0.6× 159 6.5k
Yousin Suh United States 41 3.2k 1.0× 1.2k 0.7× 898 1.0× 1.1k 1.3× 359 0.6× 104 5.5k
Timothy A. Donlon United States 37 2.5k 0.8× 1.0k 0.6× 526 0.6× 869 1.1× 526 0.8× 105 5.3k
Bart van de Sluis Netherlands 39 3.4k 1.1× 2.6k 1.5× 835 0.9× 644 0.8× 1.0k 1.6× 96 7.7k
Efstathios S. Gonos Greece 42 3.2k 1.1× 1.5k 0.9× 461 0.5× 725 0.9× 1.4k 2.2× 118 6.0k
Jorge D. Erusalimsky United Kingdom 39 3.4k 1.1× 3.2k 1.8× 610 0.7× 540 0.7× 615 1.0× 87 8.0k
Michał M. Masternak United States 39 2.0k 0.7× 2.8k 1.6× 825 0.9× 1.1k 1.4× 171 0.3× 179 5.7k
Vladimir N. Anisimov Russia 39 2.5k 0.8× 1.8k 1.0× 577 0.6× 1.4k 1.8× 699 1.1× 235 5.9k

Countries citing papers authored by Martijn E.T. Dollé

Since Specialization
Citations

This map shows the geographic impact of Martijn E.T. Dollé'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 Martijn E.T. Dollé with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martijn E.T. Dollé more than expected).

Fields of papers citing papers by Martijn E.T. Dollé

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martijn E.T. Dollé. 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 Martijn E.T. Dollé. The network helps show where Martijn E.T. Dollé may publish in the future.

Co-authorship network of co-authors of Martijn E.T. Dollé

This figure shows the co-authorship network connecting the top 25 collaborators of Martijn E.T. Dollé. A scholar is included among the top collaborators of Martijn E.T. Dollé 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 Martijn E.T. Dollé. Martijn E.T. Dollé 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.
Polinder‐Bos, Harmke A., Daniele Bizzarri, Dina Vojinović, et al.. (2023). Epigenetic and Metabolomic Biomarkers for Biological Age: A Comparative Analysis of Mortality and Frailty Risk. The Journals of Gerontology Series A. 78(10). 1753–1762. 39 indexed citations
3.
Schönke, Milena, Reshma A. Lalai, Amanda C. M. Pronk, et al.. (2023). Time-restricted feeding attenuates hypercholesterolaemia and atherosclerosis development during circadian disturbance in APOE∗3-Leiden.CETP mice. EBioMedicine. 93. 104680–104680. 19 indexed citations
4.
Onland‐Moret, N. Charlotte, Astrid C. J. Nooyens, Dorina Ibi, et al.. (2022). The APOE locus is linked to decline in general cognitive function: 20-years follow-up in the Doetinchem Cohort Study. Translational Psychiatry. 12(1). 496–496. 2 indexed citations
5.
Bizzarri, Daniele, Martijn E.T. Dollé, Bette Loef, Erik B. van den Akker, & Linda W. M. van Kerkhof. (2022). GlycA, a Biomarker of Low-Grade Inflammation, Is Increased in Male Night Shift Workers. Metabolites. 12(12). 1172–1172. 5 indexed citations
6.
Ibi, Dorina, Martijn E.T. Dollé, J. Wouter Jukema, et al.. (2022). Apolipoprotein A-V is a potential target for treating coronary artery disease: evidence from genetic and metabolomic analyses. Journal of Lipid Research. 63(5). 100193–100193. 5 indexed citations
7.
Kiewiet, Mensiena B. G., M. Rebecca Heiner‐Fokkema, Marcel Nelen, et al.. (2022). Towards Next-Generation Sequencing (NGS)-Based Newborn Screening: A Technical Study to Prepare for the Challenges Ahead. International Journal of Neonatal Screening. 8(1). 17–17. 25 indexed citations
9.
Ibi, Dorina, Raymond Noordam, Jan B. van Klinken, et al.. (2020). Genome-wide Association Study of the Postprandial Triglyceride Response Yields Common Genetic Variation in Hepatic Lipase (LIPC). Circulation Genomic and Precision Medicine. 13(4). e002693–e002693. 3 indexed citations
10.
Hulsegge, Gerben, Astrid C. J. Nooyens, Martijn E.T. Dollé, et al.. (2019). Trajectories of (Bio)markers During the Development of Cognitive Frailty in the Doetinchem Cohort Study. Frontiers in Neurology. 10. 497–497. 6 indexed citations
11.
Dollé, Martijn E.T., Wilbert P. Vermeij, Ákos Gyenis, et al.. (2019). Deficiency in the DNA repair protein ERCC1 triggers a link between senescence and apoptosis in human fibroblasts and mouse skin. Aging Cell. 19(3). e13072–e13072. 55 indexed citations
12.
Wu, Haiyan, Bibi S. van Thiel, Paula K. Bautista‐Niño, et al.. (2017). Dietary restriction but not angiotensin II type 1 receptor blockade improves DNA damage-related vasodilator dysfunction in rapidly agingErcc1Δ/−mice. Clinical Science. 131(15). 1941–1953. 14 indexed citations
13.
Weber, Daniela, Wolfgang Stuetz, Olivier Toussaint, et al.. (2017). Associations between Specific Redox Biomarkers and Age in a Large European Cohort: The MARK‐AGE Project. Oxidative Medicine and Cellular Longevity. 2017(1). 1401452–1401452. 30 indexed citations
14.
Verharen, Henny W., Hennie M. Hodemaekers, Eric R. Gremmer, et al.. (2015). Compound- and sex-specific effects on programming of energy and immune homeostasis in adult C57BL/6JxFVB mice after perinatal TCDD and PCB 153. Toxicology and Applied Pharmacology. 289(2). 262–275. 39 indexed citations
15.
Demaria, Marco, Naoko Ohtani, Sameh A. Youssef, et al.. (2014). An Essential Role for Senescent Cells in Optimal Wound Healing through Secretion of PDGF-AA. Developmental Cell. 31(6). 722–733. 1413 indexed citations breakdown →
16.
Engelfriet, Peter, Eugène Jansen, H. Susan J. Picavet, & Martijn E.T. Dollé. (2013). Biochemical Markers of Aging for Longitudinal Studies in Humans. Epidemiologic Reviews. 35(1). 132–151. 50 indexed citations
17.
Maslov, Alexander Y., Wilber Quispe‐Tintaya, Ryan R. White, et al.. (2013). DNA damage in normally and prematurely aged mice. Aging Cell. 12(3). 467–477. 46 indexed citations
18.
Dólleman, Madeleine, W. M. Monique Verschuren, Marinus J.C. Eijkemans, et al.. (2013). Reproductive and Lifestyle Determinants of Anti-Müllerian Hormone in a Large Population-based Study. The Journal of Clinical Endocrinology & Metabolism. 98(5). 2106–2115. 143 indexed citations
19.
Dollé, Martijn E.T., et al.. (2011). Perinatal programming of obesity by the endocrine disruptor Bisphenol A in a mouse model. VU Research Portal. 73. 1495–1498. 1 indexed citations
20.
Zhu, Feng, Martijn E.T. Dollé, Thomas R. Berton, et al.. (2010). Mouse Models for the p53 R72P Polymorphism Mimic Human Phenotypes. Cancer Research. 70(14). 5851–5859. 43 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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