Ton de Wit

779 citations
10 papers · 582 indexed · h-index 8
  • Hematology top 10%
    • Acute Myeloid Leukemia Research 2
    • CRISPR and Genetic Engineering 2
    • Retinoids in leukemia and cellular processes 2
    • Epigenetics and DNA Methylation 2
    • RNA Interference and Gene Delivery 2
    • RNA Research and Splicing 2
    • Genomics and Chromatin Dynamics 2
    • Animal Genetics and Reproduction 2

Ton de Wit

9 papers receiving 574 citations

Peers

Ton de Wit
Comparison fields: 5 of 50
  • Hematology 127
  • Molecular Biology 476
  • Genetics 37
  • Oncology 90
  • Cell Biology 41
Replace Laëtitia Gressin with:
Laëtitia Gressin France
PD Aplan United States
D K Watson United States
C Barletta Italy
Sheryl M. Gough United States
Leonor M. Sarmento Portugal
Derek Bouman Canada
Hélia Neves Portugal
Julie Ross Canada
Barbara Adler‐Brecher United States
Ton de Wit relative to Laëtitia Gressin France Laëtitia Gressin's profile →
Citations per field
00.5×1.5×
Laëtitia Gressin · 1×
Citations per year

Countries citing papers authored by Ton de Wit

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Ton de Wit Line = papers co-authored together Ton de Wit links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 201021
2 200912
3 200614
4 200335
5 20026
6 200222
7 199859
8 1992311
9 1992102
10
Nicaragua : cuestión agraria y participación campesina
19870

About Ton de Wit

Ton de Wit is a scholar working on Hematology, Cell Biology, General Agricultural and Biological Sciences, Molecular Biology and Genetics, having authored 10 papers that have together received 582 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (2 papers), CRISPR and Genetic Engineering (2 papers), Retinoids in leukemia and cellular processes (2 papers), Epigenetics and DNA Methylation (2 papers), RNA Interference and Gene Delivery (2 papers), Animal Genetics and Reproduction (2 papers), RNA Research and Splicing (2 papers) and Genomics and Chromatin Dynamics (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 Marieke von Lindern, Maarten Fornerod, Gerard C. Grosveld, Arjan Buijs, Martine Jaegle, Sjozèf van Baal, Frank Grosveld, Sjaak Philipsen, Nynke Gillemans and Dubravka Drabek. Their work appears in journals such as Molecular and Cellular Biology, Genes & Development, British Journal of Haematology, Transgenic Research and Journal of Virology.

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.

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2026