Karsten Weis

13.3k total citations · 3 hit papers
104 papers, 10.4k citations indexed

About

Karsten Weis is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, Karsten Weis has authored 104 papers receiving a total of 10.4k indexed citations (citations by other indexed papers that have themselves been cited), including 97 papers in Molecular Biology, 11 papers in Cell Biology and 5 papers in Genetics. Recurrent topics in Karsten Weis's work include RNA Research and Splicing (82 papers), Nuclear Structure and Function (54 papers) and RNA modifications and cancer (22 papers). Karsten Weis is often cited by papers focused on RNA Research and Splicing (82 papers), Nuclear Structure and Function (54 papers) and RNA modifications and cancer (22 papers). Karsten Weis collaborates with scholars based in United States, Switzerland and Germany. Karsten Weis's co-authors include Rebecca Heald, Angus I. Lamond, Petr Kaláb, Katrin Stade, Christine Guthrie, Maxence V. Nachury, Stephanie Heinrich, Maria Hondele, Iain W. Mattaj and Carlo Petosa and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Karsten Weis

100 papers receiving 10.3k citations

Hit Papers

Exportin 1 (Crm1p) Is an Essential Nuclear Export Factor 1994 2026 2004 2015 1997 1994 2003 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Karsten Weis United States 54 9.3k 1.7k 737 432 429 104 10.4k
Stephen A. Adam United States 52 10.1k 1.1× 2.1k 1.3× 984 1.3× 508 1.2× 415 1.0× 90 11.7k
Ulrike Kutay Switzerland 56 13.1k 1.4× 2.1k 1.3× 1.1k 1.5× 626 1.4× 608 1.4× 108 14.7k
Tatiana Karpova United States 44 4.8k 0.5× 1.4k 0.9× 666 0.9× 632 1.5× 423 1.0× 113 6.4k
Lucas Pelkmans Switzerland 44 6.5k 0.7× 3.1k 1.9× 955 1.3× 653 1.5× 396 0.9× 75 9.9k
Damarys Loew France 47 8.4k 0.9× 1.8k 1.1× 614 0.8× 772 1.8× 462 1.1× 159 11.2k
Michael Overduin United Kingdom 43 5.8k 0.6× 2.1k 1.3× 717 1.0× 391 0.9× 237 0.6× 129 7.6k
Anthony D. Mills United Kingdom 24 6.8k 0.7× 1.3k 0.8× 1.5k 2.0× 738 1.7× 761 1.8× 36 9.5k
Jie Zheng United States 47 6.0k 0.6× 1.7k 1.0× 618 0.8× 776 1.8× 147 0.3× 134 8.6k
Zsuzsanna Dosztányi Hungary 35 7.4k 0.8× 840 0.5× 651 0.9× 358 0.8× 450 1.0× 72 8.6k
Maria Carmo‐Fonseca Portugal 60 10.7k 1.1× 647 0.4× 1.3k 1.8× 728 1.7× 516 1.2× 183 12.5k

Countries citing papers authored by Karsten Weis

Since Specialization
Citations

This map shows the geographic impact of Karsten Weis'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 Karsten Weis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karsten Weis more than expected).

Fields of papers citing papers by Karsten Weis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Karsten Weis. 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 Karsten Weis. The network helps show where Karsten Weis may publish in the future.

Co-authorship network of co-authors of Karsten Weis

This figure shows the co-authorship network connecting the top 25 collaborators of Karsten Weis. A scholar is included among the top collaborators of Karsten Weis 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 Karsten Weis. Karsten Weis 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
2.
Khawaja, Sarah, et al.. (2025). The dark side of fluorescent protein tagging—the impact of protein tags on biomolecular condensation. Molecular Biology of the Cell. 36(3). br10–br10. 11 indexed citations
3.
Feuerbach, Frank, Mostafa Zedan, Laurence Decourty, et al.. (2024). RNA degradation triggered by decapping is largely independent of initial deadenylation. The EMBO Journal. 43(24). 6496–6524. 2 indexed citations
4.
Heinrich, Stephanie, Maria Hondele, Mostafa Zedan, et al.. (2023). Glucose stress causes mRNA retention in nuclear Nab2 condensates. Cell Reports. 43(1). 113593–113593. 8 indexed citations
5.
Wojtynek, Matthias, Roberta Mancini, Elisa Dultz, et al.. (2022). An amphipathic helix in Brl1 is required for nuclear pore complex biogenesis in S. cerevisiae. eLife. 11. 15 indexed citations
6.
Weis, Karsten. (2021). Dead or alive: DEAD-box ATPases as regulators of ribonucleoprotein complex condensation. Biological Chemistry. 402(5). 653–661. 17 indexed citations
7.
Sekar, Karthik, et al.. (2020). β-Oxidation and autophagy are critical energy providers during acute glucose depletion in S accharomyces cerevisiae. Proceedings of the National Academy of Sciences. 117(22). 12239–12248. 28 indexed citations
8.
Hondele, Maria, Stephanie Heinrich, Paolo De Los Rios, & Karsten Weis. (2020). Membraneless organelles: phasing out of equilibrium. Emerging Topics in Life Sciences. 4(3). 343–354. 54 indexed citations
9.
Mancini, Roberta, et al.. (2019). The RNA export factor Mex67 functions as a mobile nucleoporin. The Journal of Cell Biology. 218(12). 3967–3976. 35 indexed citations
10.
Sachdev, Ruchika, Maria Hondele, Miriam Linsenmeier, et al.. (2019). Pat1 promotes processing body assembly by enhancing the phase separation of the DEAD-box ATPase Dhh1 and RNA. eLife. 8. 51 indexed citations
11.
Vallotton, Pascal, et al.. (2018). Stoichiometry and compositional plasticity of the yeast nuclear pore complex revealed by quantitative fluorescence microscopy. Proceedings of the National Academy of Sciences. 115(17). E3969–E3977. 56 indexed citations
12.
Dultz, Elisa, et al.. (2018). Quantitative imaging of chromatin decompaction in living cells. Molecular Biology of the Cell. 29(14). 1763–1777. 17 indexed citations
13.
Chan, Leon Y, Christopher F Mugler, Stephanie Heinrich, Pascal Vallotton, & Karsten Weis. (2018). Non-invasive measurement of mRNA decay reveals translation initiation as the major determinant of mRNA stability. eLife. 7. 146 indexed citations
14.
Heinrich, Stephanie, Corinne Sidler, Claus M. Azzalin, & Karsten Weis. (2016). Stem–loop RNA labeling can affect nuclear and cytoplasmic mRNA processing. RNA. 23(2). 134–141. 73 indexed citations
15.
Lowe, Alan R., Jeffrey H. Tang, Michael Graf, et al.. (2015). Importin-β modulates the permeability of the nuclear pore complex in a Ran-dependent manner. eLife. 4. 99 indexed citations
16.
Onischenko, Evgeny & Karsten Weis. (2011). Nuclear pore complex—a coat specifically tailored for the nuclear envelope. Current Opinion in Cell Biology. 23(3). 293–301. 34 indexed citations
17.
Kaláb, Petr, Karsten Weis, & Rebecca Heald. (2002). Visualization of a Ran-GTP Gradient in Interphase and Mitotic Xenopus Egg Extracts. Science. 295(5564). 2452–2456. 432 indexed citations
18.
Nilsson, Jakob, Karsten Weis, & Jørgen Kjems. (2002). The C-Terminal Extension of the Small GTPase Ran is Essential for Defining the GDP-Bound Form. Journal of Molecular Biology. 318(2). 583–593. 20 indexed citations
19.
Schmalz, Gottfried, et al.. (2001). Permeability Characteristics of Bovine and Human Dentin under Different Pretreatment Conditions. Journal of Endodontics. 27(1). 23–30. 79 indexed citations
20.
Nachury, Maxence V., Thomas J. Maresca, Wendy C. Salmon, et al.. (2001). Importin β Is a Mitotic Target of the Small GTPase Ran in Spindle Assembly. Cell. 104(1). 95–106. 329 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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