Claudia Kutter

7.0k total citations · 4 hit papers
44 papers, 4.2k citations indexed

About

Claudia Kutter is a scholar working on Molecular Biology, Plant Science and Cancer Research. According to data from OpenAlex, Claudia Kutter has authored 44 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 15 papers in Plant Science and 10 papers in Cancer Research. Recurrent topics in Claudia Kutter's work include RNA modifications and cancer (11 papers), Cancer-related molecular mechanisms research (10 papers) and RNA Research and Splicing (10 papers). Claudia Kutter is often cited by papers focused on RNA modifications and cancer (11 papers), Cancer-related molecular mechanisms research (10 papers) and RNA Research and Splicing (10 papers). Claudia Kutter collaborates with scholars based in Sweden, United Kingdom and Germany. Claudia Kutter's co-authors include Duncan T. Odom, Michael D. Wilson, Stephen Watt, Gordon D. Brown, Aileen Marshall, Dominic Schmidt, Petra Schwalie, Paul Flicek, Ângela Gonçalves and Benoît Ballester and has published in prestigious journals such as Science, Cell and Nature Communications.

In The Last Decade

Claudia Kutter

44 papers receiving 4.1k citations

Hit Papers

The Evolutionary Landscape of Alternative Splicing in Ver... 2010 2026 2015 2020 2012 2010 2010 2012 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Claudia Kutter Sweden 21 3.3k 1.2k 959 471 207 44 4.2k
Giuseppe Macino Italy 36 4.1k 1.2× 2.0k 1.6× 1.5k 1.6× 257 0.5× 101 0.5× 58 5.5k
Hervé Seitz France 28 4.8k 1.5× 1.9k 1.6× 1.9k 2.0× 994 2.1× 138 0.7× 44 5.6k
Debasish Raha United States 19 2.9k 0.9× 524 0.4× 591 0.6× 422 0.9× 98 0.5× 29 3.6k
Alla Grishok United States 17 3.2k 1.0× 874 0.7× 1.0k 1.1× 254 0.5× 93 0.4× 31 3.8k
Keita Miyoshi Japan 21 2.7k 0.8× 1.6k 1.3× 644 0.7× 204 0.4× 89 0.4× 35 3.2k
Katsutomo Okamura United States 28 4.2k 1.3× 1.3k 1.0× 2.5k 2.6× 238 0.5× 217 1.0× 43 5.0k
Gloria A. Brar United States 23 6.1k 1.9× 634 0.5× 587 0.6× 770 1.6× 138 0.7× 40 6.6k
David G. Hendrickson United States 18 3.7k 1.1× 585 0.5× 1.7k 1.7× 394 0.8× 94 0.5× 23 4.9k
John Bodeau United States 8 2.5k 0.7× 793 0.6× 679 0.7× 224 0.5× 171 0.8× 11 3.5k
Steffen Heyne Germany 10 4.1k 1.2× 936 0.8× 513 0.5× 628 1.3× 62 0.3× 14 5.1k

Countries citing papers authored by Claudia Kutter

Since Specialization
Citations

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

Fields of papers citing papers by Claudia Kutter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claudia Kutter

This figure shows the co-authorship network connecting the top 25 collaborators of Claudia Kutter. A scholar is included among the top collaborators of Claudia Kutter 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 Claudia Kutter. Claudia Kutter 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.
Sommerauer, Christian, Linnea Hases, Madeleine Birgersson, et al.. (2024). Estrogen receptor activation remodels TEAD1 gene expression to alleviate hepatic steatosis. Molecular Systems Biology. 20(4). 374–402. 5 indexed citations
2.
Kutter, Claudia, et al.. (2024). The regulatory landscape of interacting RNA and protein pools in cellular homeostasis and cancer. Human Genomics. 18(1). 109–109. 1 indexed citations
3.
Søndergaard, Jonas Nørskov, Christian Sommerauer, Laura C. Hinte, et al.. (2022). CCT3- LINC00326 axis regulates hepatocarcinogenic lipid metabolism. Gut. 71(10). 2081–2092. 37 indexed citations
4.
Zhu, Keying, Yang Wang, Heela Sarlus, et al.. (2022). Myeloid cell‐specific topoisomerase 1 inhibition using DNA origami mitigates neuroinflammation. EMBO Reports. 23(7). e54499–e54499. 17 indexed citations
6.
Helguero, Luísa A., Marcela González‐Granillo, Tânia Melo, et al.. (2022). Molecular programming modulates hepatic lipid metabolism and adult metabolic risk in the offspring of obese mothers in a sex-specific manner. Communications Biology. 5(1). 1057–1057. 9 indexed citations
8.
Helguero, Luísa A., Marcela González‐Granillo, Daniela Couto, et al.. (2021). Obese mother offspring have hepatic lipidic modulation that contributes to sex-dependent metabolic adaptation later in life. Communications Biology. 4(1). 14–14. 13 indexed citations
9.
Li, Dan, Ningning Wang, Jiayu Chen, et al.. (2021). High Expression of LINC01268 is Positively Associated with Hepatocellular Carcinoma Progression via Regulating MAP3K7. OncoTargets and Therapy. Volume 14. 1753–1769. 2 indexed citations
10.
Pasquali, Lorenzo, Jonas Nørskov Søndergaard, Jan Lapins, et al.. (2019). 448 A comprehensive analysis of coding and non coding transcriptomic changes in cutaneous squamous cell carcinoma. Journal of Investigative Dermatology. 139(9). S292–S292. 9 indexed citations
11.
Kutter, Claudia, et al.. (2016). Data files for downstream analysis of the “mammalian codon usage” manuscript. Figshare. 1 indexed citations
12.
Ernst, Christina, Jeremy A. Pike, Sarah J. Aitken, et al.. (2016). Successful transmission and transcriptional deployment of a human chromosome via mouse male meiosis. eLife. 5. 3 indexed citations
13.
Schmitt, Bianca M., Konrad L M Rudolph, Panagiota Karagianni, et al.. (2014). High-resolution mapping of transcriptional dynamics across tissue development reveals a stable mRNA–tRNA interface. Genome Research. 24(11). 1797–1807. 69 indexed citations
14.
Barbosa‐Morais, Nuno L., Manuel Irimia, Qun Pan, et al.. (2012). The Evolutionary Landscape of Alternative Splicing in Vertebrate Species. Science. 338(6114). 1587–1593. 710 indexed citations breakdown →
15.
Kutter, Claudia, Gordon D. Brown, Ângela Gonçalves, et al.. (2011). Pol III binding in six mammals shows conservation among amino acid isotypes despite divergence among tRNA genes. Nature Genetics. 43(10). 948–955. 78 indexed citations
16.
Schmidt, Dominic, Michael D. Wilson, Benoît Ballester, et al.. (2010). Five-Vertebrate ChIP-seq Reveals the Evolutionary Dynamics of Transcription Factor Binding. Science. 328(5981). 1036–1040. 535 indexed citations breakdown →
17.
Git, Anna, Heidi Dvinge, Mali Salmon‐Divon, et al.. (2010). Systematic comparison of microarray profiling, real-time PCR, and next-generation sequencing technologies for measuring differential microRNA expression. RNA. 16(5). 991–1006. 542 indexed citations breakdown →
18.
Kutter, Claudia & Petr Svoboda. (2008). miRNA, siRNA, piRNA: Knowns of the unknown. RNA Biology. 5(4). 181–188. 61 indexed citations
19.
Wasternack, Claus, Irene Stenzel, Bettina Hause, et al.. (2005). The wound response in tomato – Role of jasmonic acid. Journal of Plant Physiology. 163(3). 297–306. 219 indexed citations
20.
Hause, Bettina, Gerd Hause, Claudia Kutter, Otto Miersch, & Claus Wasternack. (2003). Enzymes of Jasmonate Biosynthesis Occur in Tomato Sieve Elements. Plant and Cell Physiology. 44(6). 643–648. 113 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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