Jan Vijg
Impact in
- Aging top 0.02%
- Genetics, Aging, and Longevity in Model Organisms
- Cancer Research top 0.2%
- Carcinogens and Genotoxicity Assessment
- Cancer Genomics and Diagnostics
Papers in
- Aging 63
- Genetics, Aging, and Longevity in Model Organisms 63
-
- Carcinogens and Genotoxicity Assessment 45
- Cancer Genomics and Diagnostics 42
- Co-authors
- Jan H.J. HoeijmakersMartijn E.T. DolléJudith CampisiYousin SuhXiao DongHarry van SteegJan A. GossenBrandon Milholland
- Journals
- Mechanisms of Ageing and Development (16 papers)Aging Cell (14 papers)Nature (14 papers)Mutation research. Fundamental and molecular mechanisms of mutagenesis (13 papers)Nucleic Acids Research (9 papers)
- Partner nations
- United StatesNetherlandsChina
In The Last Decade
Jan Vijg
290 papers receiving 16.0k citations
Hit Papers
Peers
Comparison fields: 5 of 182
- Aging 3.0k
- Cancer Research 3.5k
- Molecular Biology 10.6k
- Physiology 3.6k
- Geriatrics and Gerontology 361
Countries citing papers authored by Jan Vijg
This map shows the geographic impact of Jan Vijg'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 Vijg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Vijg more than expected).
Fields of papers citing papers by Jan Vijg
This network shows the impact of papers produced by Jan Vijg. 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 Vijg. The network helps show where Jan Vijg may publish in the future.
Co-authors
The 25 scholars most cited alongside Jan Vijg, 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 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 2 | |
| 5 | 2024 | 20 | |
| 6 | 2024 | 14 | |
| 7 | 2024 | 2 | |
| 8 | 2023 | 2 | |
| 9 | 2022 | 74 | |
| 10 | 2021 | 7 | |
| 11 | 2021 | 31 | |
| 12 | 2017 | 6 | |
| 13 | 2017 | 31 | |
| 14 | 2014 | 17 | |
| 15 | 2008 | 19 | |
| 16 | 1998 | 14 | |
| 17 | 1998 | 12 | |
| 18 | 1992 | 16 | |
| 19 | 1989 | 9 | |
| 20 | Variation in restriction fragment length and methylation pattern of rat major histocompatibility complex class I genes | 1985 | 1 |
About Jan Vijg
Jan Vijg is a scholar working on Aging, Cancer Research, Molecular Biology, Genetics and Neuropsychology and Physiological Psychology, having authored 294 papers that have together received 16.3k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (110 papers), Genetics, Aging, and Longevity in Model Organisms (63 papers), CRISPR and Genetic Engineering (53 papers), Carcinogens and Genotoxicity Assessment (45 papers), Cancer Genomics and Diagnostics (42 papers), Mitochondrial Function and Pathology (30 papers), Epigenetics and DNA Methylation (26 papers) and Single-cell and spatial transcriptomics (21 papers). The work is most often cited by research in Aging (3.0k citations), Cancer Research (3.5k citations), Molecular Biology (10.6k citations), Physiology (3.6k citations) and Geriatrics and Gerontology (361 citations). Jan Vijg has collaborated with scholars based in United States, Netherlands and China. Frequent co-authors include Jan H.J. Hoeijmakers, Martijn E.T. Dollé, Judith Campisi, Yousin Suh, Xiao Dong, Harry van Steeg, Jan A. Gossen, Brandon Milholland, Alexander Y. Maslov and P.H.M. Lohman. Their work appears in journals such as Mechanisms of Ageing and Development, Aging Cell, Nature, Mutation research. Fundamental and molecular mechanisms of mutagenesis and Nucleic Acids 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.