Jan van Deursen
Impact in
- Aging top 0.5%
- Physiology top 1%
- Telomeres, Telomerase, and Senescence
- Adipose Tissue and Metabolism
Papers in
-
- CRISPR and Genetic Engineering 7
- Ubiquitin and proteasome pathways 7
- Muscle Physiology and Disorders 6
- RNA Research and Splicing 4
- Cell Biology 15
- Microtubule and mitosis dynamics 6
- Co-authors
- James L. Kirkland (2 shared papers)Tamar Tchkonia (2 shared papers)Yi Zhu (1 shared paper)Judith Campisi (1 shared paper)Junjie Chen (4 shared papers)Gerard C. Grosveld (6 shared papers)Bé Wieringa (8 shared papers)Irene M. Ward (2 shared papers)
- Journals
- PLoS ONE (5 papers)Journal of Clinical Investigation (4 papers)Proceedings of the National Academy of Sciences (4 papers)Molecular and Cellular Biology (4 papers)Cell Metabolism (2 papers)
- Partner nations
- United StatesNetherlandsGermany
In The Last Decade
Jan van Deursen
70 papers receiving 8.2k citations
Jan van Deursen's Hit Papers
Peers
Comparison fields: 5 of 136
- Aging 308
- Physiology 1.8k
- Immunology 1.4k
- Geriatrics and Gerontology 262
- Molecular Biology 4.4k
Countries citing papers authored by Jan van Deursen
This map shows the geographic impact of Jan van Deursen'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 van Deursen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan van Deursen more than expected).
Fields of papers citing papers by Jan van Deursen
This network shows the impact of papers produced by Jan van Deursen. 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 van Deursen. The network helps show where Jan van Deursen may publish in the future.
Co-authors
The 25 scholars most cited alongside Jan van Deursen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Cellular senescence and the senescent secretory phenotype: therapeutic opportunities Hit paper breakdown → | 2013 | 1296 |
| 2 | Fat tissue, aging, and cellular senescence Hit paper breakdown → | 2010 | 814 |
| 3 | 2006 | 494 | |
| 4 | 1999 | 477 | |
| 5 | 2003 | 338 | |
| 6 | Acceleration of β Cell Aging Determines Diabetes and Senolysis Improves Disease Outcomes Hit paper breakdown → | 2019 | 320 |
| 7 | 1993 | 280 | |
| 8 | 2004 | 247 | |
| 9 | 2007 | 237 | |
| 10 | 1997 | 209 | |
| 11 | 2005 | 186 | |
| 12 | 2018 | 175 | |
| 13 | 2005 | 164 | |
| 14 | 1995 | 162 | |
| 15 | 2010 | 159 | |
| 16 | 1996 | 155 | |
| 17 | 2017 | 155 | |
| 18 | 2012 | 138 | |
| 19 | 1995 | 125 | |
| 20 | 1996 | 119 |
About Jan van Deursen
Jan van Deursen is a scholar working on Molecular Biology, Cell Biology, Genetics, Oncology and Physiology, having authored 71 papers that have together received 8.3k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (7 papers), Ubiquitin and proteasome pathways (7 papers), Microtubule and mitosis dynamics (6 papers), Adipose Tissue and Metabolism (6 papers), Genetic Neurodegenerative Diseases (6 papers), Muscle Physiology and Disorders (6 papers), RNA Research and Splicing (4 papers) and Pancreatic function and diabetes (4 papers). The work is most often cited by research in Aging (308 citations), Physiology (1.8k citations), Immunology (1.4k citations), Geriatrics and Gerontology (262 citations) and Molecular Biology (4.4k citations). Jan van Deursen has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include James L. Kirkland, Tamar Tchkonia, Yi Zhu, Judith Campisi, Junjie Chen, Gerard C. Grosveld, Bé Wieringa, Irene M. Ward, Michael D. Jensen and Dean E. Morbeck. Their work appears in journals such as PLoS ONE, Journal of Clinical Investigation, Proceedings of the National Academy of Sciences, Molecular and Cellular Biology and Cell Metabolism.
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.