Jan Padeken
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
- Molecular Biology top 10%
- Genomics and Chromatin Dynamics
- Epigenetics and DNA Methylation
- RNA Research and Splicing
- CRISPR and Genetic Engineering
- RNA modifications and cancer
- DNA Repair Mechanisms
Papers in
- Aging 5
- Genetics, Aging, and Longevity in Model Organisms 5
- Co-authors
- Susan M. GasserPatrick HeunStephen P. MethotPeter ZellerMaría José MendiburoVéronique KalckAloys SchepersRobin van Schendel
- Journals
- Genes & Development (3 papers)Nature Cell Biology (3 papers)The Journal of Cell Biology (1 paper)Nature Genetics (1 paper)Nature Structural & Molecular Biology (1 paper)
- Partner nations
- SwitzerlandGermanySpain
In The Last Decade
Jan Padeken
21 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 78
- Aging 129
- Molecular Biology 1.1k
- Plant Science 427
- Cell Biology 110
- Genetics 157
Countries citing papers authored by Jan Padeken
This map shows the geographic impact of Jan Padeken'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 Padeken with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Padeken more than expected).
Fields of papers citing papers by Jan Padeken
This network shows the impact of papers produced by Jan Padeken. 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 Padeken. The network helps show where Jan Padeken may publish in the future.
Co-authors
The 25 scholars most cited alongside Jan Padeken, 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 | 2024 | 2 | |
| 2 | 2024 | 4 | |
| 3 | Establishment of H3K9-methylated heterochromatin and its functions in tissue differentiation and maintenance Hit paper breakdown → | 2022 | 256 |
| 4 | 2022 | 13 | |
| 5 | 2021 | 45 | |
| 6 | 2020 | 36 | |
| 7 | 2020 | 19 | |
| 8 | 2020 | 14 | |
| 9 | 2019 | 40 | |
| 10 | 2019 | 72 | |
| 11 | 2016 | 148 | |
| 12 | 2015 | 83 | |
| 13 | 2014 | 132 | |
| 14 | 2013 | 54 | |
| 15 | 2013 | 76 | |
| 16 | 2013 | 13 | |
| 17 | 2012 | 5 | |
| 18 | 2011 | 228 | |
| 19 | 2010 | 1 | |
| 20 | 2010 | 6 |
About Jan Padeken
Jan Padeken is a scholar working on Aging, Biophysics, Molecular Biology, Computer Vision and Pattern Recognition and Plant Science, having authored 21 papers that have together received 1.3k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (12 papers), RNA Research and Splicing (8 papers), Genetics, Aging, and Longevity in Model Organisms (5 papers), Epigenetics and DNA Methylation (4 papers), Chromosomal and Genetic Variations (4 papers), CRISPR and Genetic Engineering (3 papers), Nuclear Structure and Function (2 papers) and Medical Image Segmentation Techniques (2 papers). The work is most often cited by research in Aging (129 citations), Molecular Biology (1.1k citations), Plant Science (427 citations), Cell Biology (110 citations) and Genetics (157 citations). Jan Padeken has collaborated with scholars based in Switzerland, Germany and Spain. Frequent co-authors include Susan M. Gasser, Patrick Heun, Stephen P. Methot, Peter Zeller, María José Mendiburo, Véronique Kalck, Aloys Schepers, Robin van Schendel, Marcel Tijsterman and Elisabeth Kremmer. Their work appears in journals such as Genes & Development, Nature Cell Biology, The Journal of Cell Biology, Nature Genetics and Nature Structural & Molecular 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.