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
- Retinoids in leukemia and cellular processes
- Epigenetics and DNA Methylation
Papers in
-
- Retinoids in leukemia and cellular processes 2
- RNA Interference and Gene Delivery 2
- CRISPR and Genetic Engineering 2
- RNA Research and Splicing 2
- Epigenetics and DNA Methylation 1
-
- Acute Myeloid Leukemia Research 2
- Co-authors
- Martine Jaegle (2 shared papers)Arjan Buijs (2 shared papers)Marieke von Lindern (2 shared papers)Gerard C. Grosveld (2 shared papers)Maarten Fornerod (2 shared papers)Sjozèf van Baal (2 shared papers)Frank Grosveld (5 shared papers)Sjaak Philipsen (2 shared papers)
- Journals
- Molecular and Cellular Biology (3 papers)Journal of Virology (1 paper)British Journal of Haematology (1 paper)Genes & Development (1 paper)Genomics (1 paper)
- Partner nations
- NetherlandsUnited KingdomGreece
In The Last Decade
Ton de Wit
11 papers receiving 593 citations
Peers
Comparison fields: 5 of 55
- Hematology 128
- Molecular Biology 474
- Genetics 34
- Oncology 82
- Cell Biology 42
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 | 325 | |
| 2 | 1992 | 102 | |
| 3 | 1998 | 61 | |
| 4 | 2003 | 37 | |
| 5 | 2002 | 22 | |
| 6 | 2010 | 21 | |
| 7 | 2006 | 14 | |
| 8 | 2009 | 12 | |
| 9 | 1991 | 7 | |
| 10 | 2002 | 6 | |
| 11 | Nicaragua : cuestión agraria y participación campesina | 1987 | 1 |
About Ton de Wit
Ton de Wit is a scholar working on Molecular Biology, Hematology, Cell Biology, Genetics and Surgery, having authored 11 papers that have together received 608 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (2 papers), Animal Genetics and Reproduction (2 papers), Retinoids in leukemia and cellular processes (2 papers), RNA Interference and Gene Delivery (2 papers), CRISPR and Genetic Engineering (2 papers), RNA Research and Splicing (2 papers), Epigenetics and DNA Methylation (1 paper) and Xenotransplantation and immune response (1 paper). The work is most often cited by research in Hematology (128 citations), Molecular Biology (474 citations), Genetics (34 citations), Oncology (82 citations) and Cell Biology (42 citations). Ton de Wit has collaborated with scholars based in Netherlands, United Kingdom and Greece. Frequent co-authors include Martine Jaegle, Arjan Buijs, Marieke von Lindern, Gerard C. Grosveld, Maarten Fornerod, Sjozèf van Baal, Frank Grosveld, Sjaak Philipsen, Nynke Gillemans and Robbert J. Rottier. Their work appears in journals such as Molecular and Cellular Biology, Journal of Virology, British Journal of Haematology, Genes & Development and Genomics.
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.