Karen Skriver

9.1k total citations · 3 hit papers
77 papers, 7.1k citations indexed

About

Karen Skriver is a scholar working on Molecular Biology, Plant Science and Cell Biology. According to data from OpenAlex, Karen Skriver has authored 77 papers receiving a total of 7.1k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Molecular Biology, 30 papers in Plant Science and 8 papers in Cell Biology. Recurrent topics in Karen Skriver's work include Plant Molecular Biology Research (18 papers), Plant Gene Expression Analysis (17 papers) and Plant Stress Responses and Tolerance (12 papers). Karen Skriver is often cited by papers focused on Plant Molecular Biology Research (18 papers), Plant Gene Expression Analysis (17 papers) and Plant Stress Responses and Tolerance (12 papers). Karen Skriver collaborates with scholars based in Denmark, United States and Japan. Karen Skriver's co-authors include John Mundy, Addie N. Olsen, Leila Lo Leggio, Heidi A. Ernst, Charlotte O’Shea, Michael K. Jensen, Birthe B. Kragelund, Søren Brunak, Lars Kiemer and Anne Mølgaard and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Karen Skriver

76 papers receiving 7.0k citations

Hit Papers

NAC transcription factors: structurally distinct, ... 1990 2026 2002 2014 2005 1990 2004 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Karen Skriver Denmark 37 4.9k 4.7k 360 332 315 77 7.1k
Steven P. Briggs United States 51 5.4k 1.1× 5.6k 1.2× 229 0.6× 790 2.4× 148 0.5× 118 9.7k
Mark Stahl Germany 41 4.4k 0.9× 1.7k 0.4× 305 0.8× 419 1.3× 185 0.6× 81 7.1k
Geert De Jaeger Belgium 55 6.3k 1.3× 6.7k 1.4× 642 1.8× 938 2.8× 58 0.2× 154 9.7k
Fabian A. Buske Australia 16 6.7k 1.4× 3.6k 0.8× 143 0.4× 246 0.7× 42 0.1× 21 8.8k
Amy A. Caudy United States 31 9.1k 1.8× 1.9k 0.4× 155 0.4× 250 0.8× 96 0.3× 52 11.3k
Stephen A. Goff United States 28 2.9k 0.6× 2.3k 0.5× 301 0.8× 239 0.7× 32 0.1× 43 4.6k
James Cuff United States 9 6.5k 1.3× 724 0.2× 96 0.3× 309 0.9× 131 0.4× 12 7.8k
Tatsuya Sakai Japan 40 4.2k 0.8× 4.7k 1.0× 105 0.3× 170 0.5× 39 0.1× 94 6.5k
Simon J. McGowan United Kingdom 36 2.8k 0.6× 496 0.1× 182 0.5× 210 0.6× 230 0.7× 67 4.0k

Countries citing papers authored by Karen Skriver

Since Specialization
Citations

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

Fields of papers citing papers by Karen Skriver

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karen Skriver

This figure shows the co-authorship network connecting the top 25 collaborators of Karen Skriver. A scholar is included among the top collaborators of Karen Skriver 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 Karen Skriver. Karen Skriver 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.
Prestel, Andreas, Nicholas Morffy, Lucia C. Strader, et al.. (2024). Molecular switching in transcription through splicing and proline-isomerization regulates stress responses in plants. Nature Communications. 15(1). 592–592. 11 indexed citations
2.
Salladini, Edoardo, et al.. (2022). αα-hub coregulator structure and flexibility determine transcription factor binding and selection in regulatory interactomes. Journal of Biological Chemistry. 298(6). 101963–101963. 10 indexed citations
3.
O’Shea, Charlotte, et al.. (2021). Germin like protein genes exhibit modular expression during salt and drought stress in elite rice cultivars. Molecular Biology Reports. 49(1). 293–302. 14 indexed citations
4.
Staby, Lasse, et al.. (2021). Connecting the αα-hubs: same fold, disordered ligands, new functions. Cell Communication and Signaling. 19(1). 2–2. 8 indexed citations
5.
Bugge, Katrine, et al.. (2020). αα-Hub domains and intrinsically disordered proteins: A decisive combo. Journal of Biological Chemistry. 296. 100226–100226. 17 indexed citations
6.
Bugge, Katrine, et al.. (2020). Interactions by Disorder – A Matter of Context. Frontiers in Molecular Biosciences. 7. 110–110. 111 indexed citations
7.
Staby, Lasse, Amelie Stein, Michael Ploug, et al.. (2020). Disorder in a two-domain neuronal Ca2+-binding protein regulates domain stability and dynamics using ligand mimicry. Cellular and Molecular Life Sciences. 78(5). 2263–2278. 7 indexed citations
8.
Staby, Lasse, et al.. (2019). Evolutionary conservation of the intrinsic disorder-based Radical-Induced Cell Death1 hub interactome. Scientific Reports. 9(1). 18927–18927. 17 indexed citations
9.
Singh, Manoj Kumar, Sandra S. Richter, Marika Kientz, et al.. (2018). A single class of ARF GTPase activated by several pathway-specific ARF-GEFs regulates essential membrane traffic in Arabidopsis. PLoS Genetics. 14(11). e1007795–e1007795. 35 indexed citations
10.
Skriver, Karen, Gert Dandanell, Jakob Hjorth von Stemann, & Michael May. (2015). Udfordringer ved undervisning i enzymer - Bidrag fra det virtuelle laboratorium. 2 indexed citations
11.
Jensen, Michael K., Søren Lindemose, Federico De Masi, et al.. (2013). ATAF1 transcription factor directly regulates abscisic acid biosynthetic gene NCED3 in Arabidopsis thaliana. FEBS Open Bio. 3(1). 321–327. 166 indexed citations
12.
Fukamizo, Tamo, et al.. (2009). A flexible loop controlling the enzymatic activity and specificity in a glycosyl hydrolase family 19 endochitinase from barley seeds (Hordeum vulgare L.). Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1794(8). 1159–1167. 18 indexed citations
14.
Knudsen, Lars & Karen Skriver. (2006). A 3‐dimensional evaluation of the macular region: comparing digitized and film‐based media with a clinical evaluation. Acta Ophthalmologica Scandinavica. 84(3). 296–300. 4 indexed citations
15.
Andersen, Pernille, Birthe B. Kragelund, Addie N. Olsen, et al.. (2004). Structure and Biochemical Function of a Prototypical Arabidopsis U-box Domain. Journal of Biological Chemistry. 279(38). 40053–40061. 85 indexed citations
16.
Kiemer, Lars, et al.. (2004). Analysis and prediction of leucine-rich nuclear export signals. Protein Engineering Design and Selection. 17(6). 527–536. 642 indexed citations breakdown →
17.
Olsen, Addie N., Heidi A. Ernst, Leila Lo Leggio, et al.. (2003). Preliminary crystallographic analysis of the NAC domain of ANAC, a member of the plant-specific NAC transcription factor family. Acta Crystallographica Section D Biological Crystallography. 60(1). 112–115. 24 indexed citations
19.
Jensen, Rikke Beck, Karin Lykke‐Hartmann, Henrik Bjørn Nielsen, et al.. (2000). Promiscuous and specific phospholipid binding by domains in ZAC, a membrane-associated Arabidopsis protein with an ARF GAP zinc finger and a C2 domain. Plant Molecular Biology. 44(6). 799–814. 36 indexed citations
20.
Leah, Robert, et al.. (1994). Identification of an enhancer/silencer sequence directing the aleurone‐specific expression of a barley chitinase gene. The Plant Journal. 6(4). 579–589. 34 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026