Wouter de Laat
Impact in
- Molecular Biology top 0.1%
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- Epigenetics and DNA Methylation
- DNA Repair Mechanisms
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- CRISPR and Genetic Engineering
- Cancer Research top 1%
Papers in
-
- Genomics and Chromatin Dynamics 81
- RNA Research and Splicing 39
- Epigenetics and DNA Methylation 17
- RNA and protein synthesis mechanisms 15
- RNA modifications and cancer 11
- DNA Repair Mechanisms 9
-
- Chromosomal and Genetic Variations 29
- Co-authors
- Erik SplinterFrank GrosveldElzo de WitRobert‐Jan PalstraPetra KlousJan H.J. HoeijmakersN.G.J. JaspersBas Tolhuis
- Journals
- Genes & Development (10 papers)Molecular Cell (8 papers)Genome biology (6 papers)Nucleic Acids Research (6 papers)Cell Reports (4 papers)
- Partner nations
- NetherlandsUnited StatesUnited Kingdom
In The Last Decade
Wouter de Laat
103 papers receiving 16.4k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Molecular Biology 15.1k
- Cancer Research 1.6k
- Genetics 2.7k
- Plant Science 3.4k
- Aging 127
Countries citing papers authored by Wouter de Laat
This map shows the geographic impact of Wouter de Laat'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 de Laat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wouter de Laat more than expected).
Fields of papers citing papers by Wouter de Laat
This network shows the impact of papers produced by Wouter de Laat. 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 de Laat. The network helps show where Wouter de Laat may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Wouter de Laat, 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 | 0 | |
| 2 | 2023 | 5 | |
| 3 | 2023 | 21 | |
| 4 | 2023 | 3 | |
| 5 | 2022 | 8 | |
| 6 | 2020 | 3 | |
| 7 | 2020 | 30 | |
| 8 | 2020 | 7 | |
| 9 | Dynamics of gene silencing during X inactivation using allele-specific RNA-seq (vol 16, 149, 2015) | 2016 | 11 |
| 10 | A decade of 3C technologies: insights into nuclear organization Hit paper breakdown → | 2012 | 520 |
| 11 | 2012 | 162 | |
| 12 | 2011 | 291 | |
| 13 | 2011 | 111 | |
| 14 | 2011 | 128 | |
| 15 | 2008 | 60 | |
| 16 | 2008 | 24 | |
| 17 | 2008 | 106 | |
| 18 | 2007 | 45 | |
| 19 | Nuclear organization of active and inactive chromatin domains uncovered by chromosome conformation capture–on-chip (4C) Hit paper breakdown → | 2006 | 1020 |
| 20 | 2003 | 102 |
About Wouter de Laat
Wouter de Laat is a scholar working on Molecular Biology, Plant Science, Genetics, Aging and Cancer Research, having authored 105 papers that have together received 16.6k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (81 papers), RNA Research and Splicing (39 papers), Chromosomal and Genetic Variations (29 papers), Epigenetics and DNA Methylation (17 papers), RNA and protein synthesis mechanisms (15 papers), RNA modifications and cancer (11 papers), DNA Repair Mechanisms (9 papers) and Genomic variations and chromosomal abnormalities (8 papers). The work is most often cited by research in Molecular Biology (15.1k citations), Cancer Research (1.6k citations), Genetics (2.7k citations), Plant Science (3.4k citations) and Aging (127 citations). Wouter de Laat has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Erik Splinter, Frank Grosveld, Elzo de Wit, Robert‐Jan Palstra, Petra Klous, Jan H.J. Hoeijmakers, N.G.J. Jaspers, Bas Tolhuis, Marieke Simonis and Bas van Steensel. Their work appears in journals such as Genes & Development, Molecular Cell, Genome biology, Nucleic Acids Research and Cell Reports.
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.