Jan Padeken

2.0k total citations · 1 hit paper
21 papers, 1.3k citations indexed

About

Jan Padeken is a scholar working on Molecular Biology, Aging and Plant Science. According to data from OpenAlex, Jan Padeken has authored 21 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 5 papers in Aging and 4 papers in Plant Science. Recurrent topics in Jan Padeken's work include Genomics and Chromatin Dynamics (12 papers), RNA Research and Splicing (8 papers) and Genetics, Aging, and Longevity in Model Organisms (5 papers). Jan Padeken is often cited by papers focused on Genomics and Chromatin Dynamics (12 papers), RNA Research and Splicing (8 papers) and Genetics, Aging, and Longevity in Model Organisms (5 papers). Jan Padeken collaborates with scholars based in Switzerland, Germany and Spain. Jan Padeken's 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 and has published in prestigious journals such as Nature, Science and Nature Genetics.

In The Last Decade

Jan Padeken

21 papers receiving 1.3k citations

Hit Papers

Establishment of H3K9-methylated heterochromatin and its ... 2022 2026 2023 2024 2022 50 100 150 200 250

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jan Padeken Switzerland 14 1.1k 427 157 129 110 21 1.3k
Peter Meister Switzerland 20 1.8k 1.6× 278 0.7× 152 1.0× 299 2.3× 141 1.3× 42 1.9k
Cristina González‐Aguilera Spain 17 1.5k 1.3× 163 0.4× 103 0.7× 161 1.2× 80 0.7× 25 1.6k
Martin Radolf Austria 8 905 0.8× 196 0.5× 197 1.3× 52 0.4× 96 0.9× 8 1.0k
Eric F. Joyce United States 26 1.9k 1.7× 689 1.6× 342 2.2× 61 0.5× 192 1.7× 52 2.2k
Robin van Schendel Netherlands 17 1.3k 1.2× 309 0.7× 190 1.2× 143 1.1× 80 0.7× 29 1.4k
Hana Hall United States 12 1.0k 0.9× 130 0.3× 65 0.4× 57 0.4× 123 1.1× 19 1.1k
Son C. Nguyen United States 20 1.2k 1.1× 336 0.8× 205 1.3× 28 0.2× 51 0.5× 36 1.3k
Manuela Portoso France 8 1.5k 1.3× 274 0.6× 129 0.8× 46 0.4× 43 0.4× 8 1.6k
Julien Pontabry France 11 599 0.5× 192 0.4× 86 0.5× 61 0.5× 120 1.1× 17 798
Shelby A. Blythe United States 15 920 0.8× 152 0.4× 105 0.7× 37 0.3× 89 0.8× 18 977

Countries citing papers authored by Jan Padeken

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Jan Padeken

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Padeken. A scholar is included among the top collaborators of Jan Padeken based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jan Padeken. Jan Padeken is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Padovani, Francesco, Johanna Hornung, Qiuxia Zhao, et al.. (2024). Fasting shapes chromatin architecture through an mTOR/RNA Pol I axis. Nature Cell Biology. 26(11). 1903–1917. 2 indexed citations
3.
Padeken, Jan, Stephen P. Methot, & Susan M. Gasser. (2022). Establishment of H3K9-methylated heterochromatin and its functions in tissue differentiation and maintenance. Nature Reviews Molecular Cell Biology. 23(9). 623–640. 256 indexed citations breakdown →
4.
Delaney, Colin, Stephen P. Methot, Véronique Kalck, et al.. (2022). SETDB1-like MET-2 promotes transcriptional silencing and development independently of its H3K9me-associated catalytic activity. Nature Structural & Molecular Biology. 29(2). 85–96. 13 indexed citations
5.
Methot, Stephen P., Jan Padeken, Giovanna Brancati, et al.. (2021). H3K9me selectively blocks transcription factor activity and ensures differentiated tissue integrity. Nature Cell Biology. 23(11). 1163–1175. 45 indexed citations
6.
Mattout, Anna, Dimos Gaidatzis, Jan Padeken, et al.. (2020). LSM2-8 and XRN-2 contribute to the silencing of H3K27me3-marked genes through targeted RNA decay. Nature Cell Biology. 22(5). 579–590. 14 indexed citations
7.
Harr, Jennifer C., Christoph D. Schmid, Véronique Kalck, et al.. (2020). Loss of an H3K9me anchor rescues laminopathy-linked changes in nuclear organization and muscle function in an Emery-Dreifuss muscular dystrophy model. Genes & Development. 34(7-8). 560–579. 36 indexed citations
8.
Padeken, Jan, Stephen P. Methot, Peter Zeller, et al.. (2020). Argonaute NRDE-3 and MBT domain protein LIN-61 redundantly recruit an H3K9me3 HMT to prevent embryonic lethality and transposon expression. Genes & Development. 35(1-2). 82–101. 19 indexed citations
9.
Padeken, Jan, Peter Zeller, Benjamin D. Towbin, et al.. (2019). Synergistic lethality between BRCA1 and H3K9me2 loss reflects satellite derepression. Genes & Development. 33(7-8). 436–451. 40 indexed citations
10.
Cabianca, Daphne S., Véronique Kalck, Dimos Gaidatzis, et al.. (2019). Active chromatin marks drive spatial sequestration of heterochromatin in C. elegans nuclei. Nature. 569(7758). 734–739. 72 indexed citations
11.
Zeller, Peter, Jan Padeken, Robin van Schendel, et al.. (2016). Histone H3K9 methylation is dispensable for Caenorhabditis elegans development but suppresses RNA:DNA hybrid-associated repeat instability. Nature Genetics. 48(11). 1385–1395. 148 indexed citations
12.
Padeken, Jan, Peter Zeller, & Susan M. Gasser. (2015). Repeat DNA in genome organization and stability. Current Opinion in Genetics & Development. 31. 12–19. 83 indexed citations
13.
Padeken, Jan & Patrick Heun. (2014). Nucleolus and nuclear periphery: Velcro for heterochromatin. Current Opinion in Cell Biology. 28. 54–60. 132 indexed citations
14.
Padeken, Jan, et al.. (2013). The Nucleoplasmin Homolog NLP Mediates Centromere Clustering and Anchoring to the Nucleolus. Molecular Cell. 50(2). 236–249. 76 indexed citations
15.
Thomae, Andreas W., Jan Padeken, I.R. Vetter, et al.. (2013). A Pair of Centromeric Proteins Mediates Reproductive Isolation in Drosophila Species. Developmental Cell. 27(4). 412–424. 54 indexed citations
16.
Keuper, Margret, Thorsten Schmidt, Jan Padeken, et al.. (2013). Blind Deconvolution of Widefield Fluorescence Microscopic Data by Regularization of the Optical Transfer Function (OTF). Repository of Futwangen University of Applied Sciences (Furtwangen University). 46. 2179–2186. 13 indexed citations
17.
Keuper, Margret, Jan Padeken, Patrick Heun, et al.. (2012). Blind deconvolution with PSF regularization for wide-field microscopy. Repository of Futwangen University of Applied Sciences (Furtwangen University). 2655. 1292–1295. 5 indexed citations
18.
Mendiburo, María José, et al.. (2011). Drosophila CENH3 Is Sufficient for Centromere Formation. Science. 334(6056). 686–690. 228 indexed citations
19.
Keuper, Margret, Hans Burkhardt, Olaf Ronneberger, Jan Padeken, & Patrick Heun. (2010). Mean Shift Gradient Vector Flow: A Robust External Force Field for 3D Active Surfaces. MADOC (University of Mannheim). 2784–2787. 1 indexed citations
20.
Keuper, Margret, Thorsten Schmidt, Jan Padeken, et al.. (2010). 3D Deformable Surfaces with Locally Self-Adjusting Parameters - A Robust Method to Determine Cell Nucleus Shapes. MADOC (University of Mannheim). 7 3. 2254–2257. 6 indexed citations

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.

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