Matej Durik
Impact in
- Aging top 0.2%
- Genetics, Aging, and Longevity in Model Organisms
- Physiology top 0.5%
- Telomeres, Telomerase, and Senescence
Papers in
- Aging 3
- Genetics, Aging, and Longevity in Model Organisms 3
- Co-authors
- Darren J. BakerJan M. van DeursenBennett G. ChildsCynthia J. SiebenGrace VerzosaAbdulmohammad PezeshkiJian ZhongKhashayarsha Khazaie
- Journals
- Clinical Science (4 papers)Genes & Development (1 paper)Nature Medicine (1 paper)Nature Reviews Nephrology (1 paper)Nature Communications (1 paper)
- Partner nations
- NetherlandsUnited StatesFrance
In The Last Decade
Matej Durik
13 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Aging 549
- Physiology 2.1k
- Immunology 913
- Geriatrics and Gerontology 154
- Cancer Research 428
Countries citing papers authored by Matej Durik
This map shows the geographic impact of Matej Durik'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 Matej Durik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matej Durik more than expected).
Fields of papers citing papers by Matej Durik
This network shows the impact of papers produced by Matej Durik. 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 Matej Durik. The network helps show where Matej Durik may publish in the future.
Co-authors
The 25 scholars most cited alongside Matej Durik, 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 | 2022 | 41 | |
| 2 | 2021 | 16 | |
| 3 | 2020 | 73 | |
| 4 | 2020 | 9 | |
| 5 | 2017 | 14 | |
| 6 | Naturally occurring p16Ink4a-positive cells shorten healthy lifespan Hit paper breakdown → | 2016 | 1984 |
| 7 | 2016 | 252 | |
| 8 | Cellular senescence in aging and age-related disease: from mechanisms to therapy Hit paper breakdown → | 2015 | 1670 |
| 9 | 2015 | 43 | |
| 10 | 2012 | 50 | |
| 11 | 2012 | 25 | |
| 12 | 2012 | 46 | |
| 13 | 2011 | 45 |
About Matej Durik
Matej Durik is a scholar working on Aging, Geriatrics and Gerontology, Physiology, Biophysics and Biochemistry, having authored 13 papers that have together received 4.3k indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (4 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Renin-Angiotensin System Studies (3 papers), Receptor Mechanisms and Signaling (3 papers), Ubiquitin and proteasome pathways (2 papers), Birth, Development, and Health (2 papers), Hormonal Regulation and Hypertension (2 papers) and Cancer-related Molecular Pathways (1 paper). The work is most often cited by research in Aging (549 citations), Physiology (2.1k citations), Immunology (913 citations), Geriatrics and Gerontology (154 citations) and Cancer Research (428 citations). Matej Durik has collaborated with scholars based in Netherlands, United States and France. Frequent co-authors include Darren J. Baker, Jan M. van Deursen, Bennett G. Childs, Cynthia J. Sieben, Grace Verzosa, Abdulmohammad Pezeshki, Jian Zhong, Khashayarsha Khazaie, Karthik B. Jeganathan and Jordan D. Miller. Their work appears in journals such as Clinical Science, Genes & Development, Nature Medicine, Nature Reviews Nephrology and Nature Communications.
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.