Wouter Meuleman
- Molecular Biology top 2%
- Genomics and Chromatin Dynamics 13
- RNA Research and Splicing 9
- Nuclear Structure and Function 4
- Epigenetics and DNA Methylation 4
- RNA modifications and cancer 3
- Metabolomics and Mass Spectrometry Studies 3
- Cancer-related gene regulation 3
- Genetics top 2%
- Aging top 5%
- Cancer Research top 10%
- Plant Science top 5%
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- Advanced Proteomics Techniques and Applications 3
- Co-authors
- Bas van SteenselLodewyk F.A. WesselsLudo PagieWouter de LaatBert H.J. EussenÉmilie BrassetLars GuelenAnnelies de Klein
- Cited by
- Molecular BiologyGeneticsAging
- Partner nations
- NetherlandsUnited StatesGermany
In The Last Decade
Wouter Meuleman
20 papers receiving 4.6k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Molecular Biology 4.0k
- Genetics 845
- Aging 49
- Cancer Research 288
- Plant Science 532
Countries citing papers authored by Wouter Meuleman
This map shows the geographic impact of Wouter Meuleman'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 Wouter Meuleman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wouter Meuleman more than expected).
Fields of papers citing papers by Wouter Meuleman
This network shows the impact of papers produced by Wouter Meuleman. 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 Wouter Meuleman. The network helps show where Wouter Meuleman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Wouter Meuleman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 5 | |
| 2 | 2021 | 183 | |
| 3 | 2021 | 103 | |
| 4 | 2020 | 186 | |
| 5 | 2020 | 155 | |
| 6 | 2017 | 27 | |
| 7 | 2017 | 29 | |
| 8 | 2015 | 25 | |
| 9 | FTO Obesity Variant Circuitry and Adipocyte Browning in Humansbreakdown → | 2015 | 878 |
| 10 | 2013 | 235 | |
| 11 | 2013 | 2 | |
| 12 | 2012 | 70 | |
| 13 | 2012 | 329 | |
| 14 | Molecular Maps of the Reorganization of Genome-Nuclear Lamina Interactions during Differentiationbreakdown → | 2010 | 763 |
| 15 | 2010 | 87 | |
| 16 | 2009 | 8 | |
| 17 | 2008 | 42 | |
| 18 | 2008 | 34 | |
| 19 | Domain organization of human chromosomes revealed by mapping of nuclear lamina interactionsbreakdown → | 2008 | 1418 |
| 20 | 2008 | 15 |
About Wouter Meuleman
Wouter Meuleman is a scholar working on Molecular Biology, Cancer Research, Spectroscopy, Genetics and Plant Science, having authored 20 papers that have together received 4.6k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (13 papers), RNA Research and Splicing (9 papers), Nuclear Structure and Function (4 papers), Epigenetics and DNA Methylation (4 papers), RNA modifications and cancer (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Advanced Proteomics Techniques and Applications (3 papers) and Cancer-related gene regulation (3 papers). The work is most often cited by research in Molecular Biology (4.0k citations), Genetics (845 citations), Aging (49 citations), Cancer Research (288 citations) and Plant Science (532 citations). Wouter Meuleman has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Bas van Steensel, Lodewyk F.A. Wessels, Ludo Pagie, Wouter de Laat, Bert H.J. Eussen, Émilie Brasset, Lars Guelen, Annelies de Klein, Marius B. Faza and Wendy Talhout. Their work appears in journals such as Nature, BMC Bioinformatics, Genome Research, PLoS ONE and Nature Genetics.
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.