Tim De Meyer

9.3k total citations · 2 hit papers
110 papers, 5.1k citations indexed

About

Tim De Meyer is a scholar working on Molecular Biology, Plant Science and Physiology. According to data from OpenAlex, Tim De Meyer has authored 110 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Molecular Biology, 23 papers in Plant Science and 20 papers in Physiology. Recurrent topics in Tim De Meyer's work include Epigenetics and DNA Methylation (28 papers), Telomeres, Telomerase, and Senescence (16 papers) and Nematode management and characterization studies (15 papers). Tim De Meyer is often cited by papers focused on Epigenetics and DNA Methylation (28 papers), Telomeres, Telomerase, and Senescence (16 papers) and Nematode management and characterization studies (15 papers). Tim De Meyer collaborates with scholars based in Belgium, Netherlands and United States. Tim De Meyer's co-authors include Wim Van Criekinge, Sofie Bekaert, Alexander Koch, Jana Jeschke, Ernst Rietzschel, Marc De Buyzere, Manon van Engeland, Patrick Van Oostveldt, Tina Kyndt and Simon Denil and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Journal of the American College of Cardiology.

In The Last Decade

Tim De Meyer

106 papers receiving 5.0k citations

Hit Papers

The Arabidopsis Informati... 2007 2026 2013 2019 2007 2018 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Tim De Meyer 2.8k 1.1k 833 712 537 110 5.1k
Laurent Gautier 3.4k 1.2× 439 0.4× 342 0.4× 913 1.3× 612 1.1× 32 5.2k
Ge Tan 3.9k 1.4× 731 0.6× 547 0.7× 788 1.1× 327 0.6× 65 6.3k
Hongkai Ji 5.4k 1.9× 1.2k 1.1× 247 0.3× 686 1.0× 199 0.4× 126 7.1k
Claes M. Gustafsson 9.3k 3.3× 727 0.6× 557 0.7× 970 1.4× 266 0.5× 128 11.1k
Gabriela Vaz Meirelles 3.9k 1.4× 375 0.3× 566 0.7× 947 1.3× 476 0.9× 18 6.7k
Cédric Simillion 2.0k 0.7× 907 0.8× 587 0.7× 197 0.3× 150 0.3× 59 3.6k
Weijun Luo 2.7k 0.9× 254 0.2× 640 0.8× 755 1.1× 283 0.5× 35 4.5k
Ping Zhou 2.6k 0.9× 742 0.7× 653 0.8× 403 0.6× 148 0.3× 164 5.1k
Xiaoping Sun 1.9k 0.7× 559 0.5× 314 0.4× 260 0.4× 206 0.4× 165 4.3k
Jun‐Yuan Ji 2.6k 0.9× 1.0k 0.9× 206 0.2× 349 0.5× 125 0.2× 115 4.7k

Countries citing papers authored by Tim De Meyer

Since Specialization
Citations

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

Fields of papers citing papers by Tim De Meyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tim De Meyer. 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 Tim De Meyer. The network helps show where Tim De Meyer may publish in the future.

Co-authorship network of co-authors of Tim De Meyer

This figure shows the co-authorship network connecting the top 25 collaborators of Tim De Meyer. A scholar is included among the top collaborators of Tim De Meyer 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 Tim De Meyer. Tim De Meyer 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.
Steenwinckel, Bram, Rudi De Raedt, Marie–Anne Vanderhasselt, et al.. (2026). Epigenetic age deceleration reflects exercise-induced cardiorespiratory fitness improvements. GeroScience.
2.
3.
Kelly, John J., Iryna Samarska, Bram Ramaekers, et al.. (2025). Renal cell carcinoma detection: a systematic review in diagnostic urinary biomarkers. BMC Cancer. 25(1). 1672–1672.
4.
Liu, Jing, Tim De Meyer, Kristof Demeestere, et al.. (2024). The phenylalanine ammonia‐lyase inhibitor AIP induces rice defence against the root‐knot nematode Meloidogyne graminicola. Molecular Plant Pathology. 25(1). e13424–e13424. 13 indexed citations
6.
Meyer, Tim De, et al.. (2024). Independent Genetic Mapping Experiments Identify Diverse Molecular Determinants of Host Adaptation in a Generalist Herbivore. Molecular Ecology. 34(16). e17618–e17618. 1 indexed citations
7.
Criekinge, Wim Van, et al.. (2024). Loss-of-Imprinting of HM13 Leads to Poor Prognosis in Clear Cell Renal Cell Carcinoma. Biomolecules. 14(8). 936–936. 1 indexed citations
8.
Guryev, Victor, Maaike Goris, Hjalmar R. Bouma, et al.. (2023). Liver transcriptomic and methylomic analyses identify transcriptional mitogen-activated protein kinase regulation in facultative hibernation of Syrian hamster. Proceedings of the Royal Society B Biological Sciences. 290(1999). 20230368–20230368. 7 indexed citations
9.
Warren, Wesley C., Scott J. Werner, Melissa Bateson, et al.. (2023). Concurrent invasions of European starlings in Australia and North America reveal population‐specific differentiation in shared genomic regions. Molecular Ecology. 34(14). e17195–e17195. 2 indexed citations
10.
Edwards, Richard J., Yuanyuan Cheng, Wesley C. Warren, et al.. (2022). Transcript‐ and annotation‐guided genome assembly of the European starling. Molecular Ecology Resources. 22(8). 3141–3160. 15 indexed citations
11.
Kesel, Jonas De, et al.. (2022). Dehydroascorbate induces plant resistance in rice against root‐knot nematode Meloidogyne graminicola. Molecular Plant Pathology. 23(9). 1303–1319. 27 indexed citations
12.
Kurlovs, Andre H., Marilou Vandenhole, Tim De Meyer, et al.. (2022). Trans-driven variation in expression is common among detoxification genes in the extreme generalist herbivore Tetranychus urticae. PLoS Genetics. 18(11). e1010333–e1010333. 19 indexed citations
13.
Atighi, Mohammad Reza, Bruno Verstraeten, Tim De Meyer, & Tina Kyndt. (2021). Genome‐wide shifts in histone modifications at early stage of rice infection with Meloidogyne graminicola. Molecular Plant Pathology. 22(4). 440–455. 14 indexed citations
14.
Koch, Alexander, Muriel X.G. Draht, Kristien Wouters, et al.. (2021). Identification of DNA methylation markers for early detection of CRC indicates a role for nervous system-related genes in CRC. Clinical Epigenetics. 13(1). 80–80. 25 indexed citations
15.
Vos, Stephanie De, Stéphane Rombauts, Wannes Dermauw, et al.. (2021). The genome of the extremophile Artemia provides insight into strategies to cope with extreme environments. BMC Genomics. 22(1). 635–635. 25 indexed citations
16.
Liu, Bing, et al.. (2021). A Hypomorphic Mutant of PHD Domain Protein Male Meiocytes Death 1. Genes. 12(4). 516–516. 5 indexed citations
17.
Meyer, Tim De, Sofie Bekaert, Marc De Buyzere, et al.. (2018). Leukocyte telomere length and diet in the apparently healthy, middle-aged Asklepios population. Scientific Reports. 8(1). 6540–6540. 20 indexed citations
18.
Vlodrop, Iris J.H. van, Sophie C. Joosten, Tim De Meyer, et al.. (2016). A Four-Gene Promoter Methylation Marker Panel Consisting of GREM1, NEURL, LAD1, and NEFH Predicts Survival of Clear Cell Renal Cell Cancer Patients. Clinical Cancer Research. 23(8). 2006–2018. 44 indexed citations
19.
Ongenaert, Maté, Leander Van Neste, Tim De Meyer, et al.. (2008). Pubmeth: reviewed methylation database in cancer based on text-mining. Ghent University Academic Bibliography (Ghent University). 1 indexed citations
20.
Meyer, Tim De, Ernst Rietzschel, Marc De Buyzere, et al.. (2006). Reference values and basic determinants of telomere length in a large middle-aged population. Ghent University Academic Bibliography (Ghent University). 3 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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