Ton de Wit
Impact in
- Hematology top 10%
- Acute Myeloid Leukemia Research
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- Nuclear Structure and Function
- RNA Research and Splicing
- Genomics and Chromatin Dynamics
- RNA modifications and cancer
- Epigenetics and DNA Methylation
- Retinoids in leukemia and cellular processes
Papers in
-
- RNA Interference and Gene Delivery 2
- Epigenetics and DNA Methylation 2
- Genomics and Chromatin Dynamics 2
- RNA Research and Splicing 2
- Retinoids in leukemia and cellular processes 2
- CRISPR and Genetic Engineering 2
-
- Acute Myeloid Leukemia Research 2
- Co-authors
- Sjozèf van Baal (2 shared papers)Marieke von Lindern (2 shared papers)Martine Jaegle (2 shared papers)Gerard C. Grosveld (2 shared papers)Maarten Fornerod (2 shared papers)Arjan Buijs (2 shared papers)Frank Grosveld (5 shared papers)Nynke Gillemans (2 shared papers)
- Journals
- Molecular and Cellular Biology (3 papers)Genes & Development (1 paper)British Journal of Haematology (1 paper)Genomics (1 paper)Transgenic Research (1 paper)
- Partner nations
- NetherlandsUnited KingdomGermany
In The Last Decade
Ton de Wit
9 papers receiving 574 citations
Peers
Comparison fields: 5 of 50
- Hematology 127
- Molecular Biology 476
- Genetics 37
- Oncology 90
- Cell Biology 41
Countries citing papers authored by Ton de Wit
This map shows the geographic impact of Ton de Wit'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 Ton de Wit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ton de Wit more than expected).
Fields of papers citing papers by Ton de Wit
This network shows the impact of papers produced by Ton de Wit. 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 Ton de Wit. The network helps show where Ton de Wit may publish in the future.
Co-authors
The 25 scholars most cited alongside Ton de Wit, 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 | 1992 | 311 | |
| 2 | 1992 | 102 | |
| 3 | 1998 | 59 | |
| 4 | 2003 | 35 | |
| 5 | 2002 | 22 | |
| 6 | 2010 | 21 | |
| 7 | 2006 | 14 | |
| 8 | 2009 | 12 | |
| 9 | 2002 | 6 | |
| 10 | Nicaragua : cuestión agraria y participación campesina | 1987 | 0 |
About Ton de Wit
Ton de Wit is a scholar working on Molecular Biology, Hematology, Cell Biology, Genetics and Surgery, having authored 10 papers that have together received 582 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (2 papers), RNA Interference and Gene Delivery (2 papers), Epigenetics and DNA Methylation (2 papers), Genomics and Chromatin Dynamics (2 papers), RNA Research and Splicing (2 papers), Retinoids in leukemia and cellular processes (2 papers), CRISPR and Genetic Engineering (2 papers) and Animal Genetics and Reproduction (2 papers). The work is most often cited by research in Hematology (127 citations), Molecular Biology (476 citations), Genetics (37 citations), Oncology (90 citations) and Cell Biology (41 citations). Ton de Wit has collaborated with scholars based in Netherlands, United Kingdom and Germany. Frequent co-authors include Sjozèf van Baal, Marieke von Lindern, Martine Jaegle, Gerard C. Grosveld, Maarten Fornerod, Arjan Buijs, Frank Grosveld, Nynke Gillemans, Sjaak Philipsen and Dubravka Drabek. Their work appears in journals such as Molecular and Cellular Biology, Genes & Development, British Journal of Haematology, Genomics and Transgenic Research.
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.