Jan de Wit
Impact in
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms
- Endocrine and Autonomic Systems top 0.5%
- Circadian rhythm and melatonin
Papers in
-
- Carcinogens and Genotoxicity Assessment 12
-
- DNA Repair Mechanisms 37
- CRISPR and Genetic Engineering 16
- Genomics and Chromatin Dynamics 5
- DNA and Nucleic Acid Chemistry 4
- Glycosylation and Glycoproteins Research 3
- Cancer therapeutics and mechanisms 3
- Co-authors
- Jan H.J. HoeijmakersD. BootsmaGijsbertus T. J. van der HorstGeert WeedaChristine TroelstraHarry van SteegRoland KanaarAlain J. van Gool
- Journals
- Molecular and Cellular Biology (9 papers)DNA repair (4 papers)Cell (4 papers)Human Genetics (4 papers)PLoS Biology (4 papers)
- Partner nations
- NetherlandsUnited StatesFrance
In The Last Decade
Jan de Wit
54 papers receiving 6.5k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Aging 452
- Endocrine and Autonomic Systems 990
- Cancer Research 1.3k
- Molecular Biology 5.2k
- Oncology 939
Countries citing papers authored by Jan de Wit
This map shows the geographic impact of Jan 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 Jan 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 Jan de Wit more than expected).
Fields of papers citing papers by Jan de Wit
This network shows the impact of papers produced by Jan 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 Jan de Wit. The network helps show where Jan de Wit may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jan 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 | 2013 | 28 | |
| 2 | 2009 | 42 | |
| 3 | 2009 | 71 | |
| 4 | 2006 | 195 | |
| 5 | 2005 | 20 | |
| 6 | 2005 | 16 | |
| 7 | 2004 | 407 | |
| 8 | 2002 | 426 | |
| 9 | 2002 | 118 | |
| 10 | 2002 | 81 | |
| 11 | 1999 | 176 | |
| 12 | 1998 | 161 | |
| 13 | 1998 | 4 | |
| 14 | 1997 | 278 | |
| 15 | 1996 | 325 | |
| 16 | 1996 | 77 | |
| 17 | 1991 | 7 | |
| 18 | 1990 | 27 | |
| 19 | 1975 | 3 | |
| 20 | 1973 | 75 |
About Jan de Wit
Jan de Wit is a scholar working on Cancer Research, Molecular Biology, Aging, Genetics and Biotechnology, having authored 54 papers that have together received 6.7k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (37 papers), CRISPR and Genetic Engineering (16 papers), Carcinogens and Genotoxicity Assessment (12 papers), Genomics and Chromatin Dynamics (5 papers), DNA and Nucleic Acid Chemistry (4 papers), Glycosylation and Glycoproteins Research (3 papers), Cancer therapeutics and mechanisms (3 papers) and Cancer-related Molecular Pathways (3 papers). The work is most often cited by research in Aging (452 citations), Endocrine and Autonomic Systems (990 citations), Cancer Research (1.3k citations), Molecular Biology (5.2k citations) and Oncology (939 citations). Jan de Wit has collaborated with scholars based in Netherlands, United States and France. Frequent co-authors include Jan H.J. Hoeijmakers, D. Bootsma, Gijsbertus T. J. van der Horst, Geert Weeda, Christine Troelstra, Harry van Steeg, Roland Kanaar, Alain J. van Gool, Wim Vermeulen and Hanny Odijk. Their work appears in journals such as Molecular and Cellular Biology, DNA repair, Cell, Human Genetics and PLoS Biology.
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.