Tim De Meyer
Impact in
- Physiology top 1%
- Telomeres, Telomerase, and Senescence
- Aging top 5%
Papers in
- Physiology 24
- Telomeres, Telomerase, and Senescence 24
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- Nematode management and characterization studies 15
- Co-authors
- Wim Van Criekinge (47 shared papers)Sofie Bekaert (28 shared papers)Alexander Koch (6 shared papers)Jana Jeschke (3 shared papers)Ernst Rietzschel (20 shared papers)Marc De Buyzere (19 shared papers)Manon van Engeland (6 shared papers)Patrick Van Oostveldt (8 shared papers)
- Journals
- PLoS ONE (6 papers)Scientific Reports (5 papers)Molecular Plant Pathology (4 papers)Nucleic Acids Research (4 papers)Clinical Epigenetics (3 papers)
- Partner nations
- BelgiumNetherlandsUnited States
In The Last Decade
Tim De Meyer
120 papers receiving 6.1k citations
Tim De Meyer's Hit Papers
Peers
Comparison fields: 5 of 113
- Physiology 1.0k
- Aging 38
- Cancer Research 221
- Molecular Biology 1.0k
- Plant Science 513
Countries citing papers authored by Tim De Meyer
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
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-authors
The 25 scholars most cited alongside Tim De Meyer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 123 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Analysis of DNA methylation in cancer: location revisited Hit paper breakdown → | 2018 | 533 |
| 2 | 2013 | 421 | |
| 3 | 2015 | 291 | |
| 4 | 2007 | 288 | |
| 5 | 2018 | 224 | |
| 6 | 2008 | 210 | |
| 7 | 2019 | 199 | |
| 8 | 2014 | 178 | |
| 9 | 2014 | 160 | |
| 10 | 2012 | 156 | |
| 11 | 2007 | 152 | |
| 12 | 2013 | 147 | |
| 13 | 2007 | 145 | |
| 14 | 2018 | 133 | |
| 15 | Telomere attrition as ageing biomarker. | 2005 | 129 |
| 16 | 2013 | 125 | |
| 17 | 2014 | 122 | |
| 18 | 2014 | 120 | |
| 19 | 2018 | 117 | |
| 20 | 2014 | 110 |
About Tim De Meyer
Tim De Meyer is a scholar working on Physiology, Plant Science, Molecular Biology, Genetics and Endocrinology, Diabetes and Metabolism, having authored 123 papers that have together received 6.3k indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (24 papers), Epigenetics and DNA Methylation (16 papers), Nematode management and characterization studies (15 papers), Genetic diversity and population structure (4 papers), Cardiovascular Health and Disease Prevention (4 papers), Thyroid Disorders and Treatments (4 papers), Genetic Syndromes and Imprinting (3 papers) and Renal cell carcinoma treatment (3 papers). The work is most often cited by research in Physiology (1.0k citations), Aging (38 citations), Cancer Research (221 citations), Molecular Biology (1.0k citations) and Plant Science (513 citations). Tim De Meyer has collaborated with scholars based in Belgium, Netherlands and United States. Frequent 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 L. I. J. Denil. Their work appears in journals such as PLoS ONE, Scientific Reports, Molecular Plant Pathology, Nucleic Acids Research and Clinical Epigenetics.
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.