Ulrike Kutay

155 total papers · 18.6k total citations
108 papers, 14.6k citations indexed

About

Ulrike Kutay is a scholar working on Molecular Biology, Cell Biology and Organic Chemistry. According to data from OpenAlex, Ulrike Kutay has authored 108 papers receiving a total of 14.6k indexed citations (citations by other indexed papers that have themselves been cited), including 101 papers in Molecular Biology, 15 papers in Cell Biology and 4 papers in Organic Chemistry. Recurrent topics in Ulrike Kutay's work include RNA Research and Splicing (73 papers), Nuclear Structure and Function (64 papers) and Genomics and Chromatin Dynamics (26 papers). Ulrike Kutay is often cited by papers focused on RNA Research and Splicing (73 papers), Nuclear Structure and Function (64 papers) and Genomics and Chromatin Dynamics (26 papers). Ulrike Kutay collaborates with scholars based in Switzerland, Germany and United States. Ulrike Kutay's co-authors include Dirk Görlich, Stephan Güttinger, Ângelo Calado, Elsebet Lund, James E. Dahlberg, F. Ralf Bischoff, Tom A. Rapoport, Rosemarie Ungricht, Howard M. Fried and Andrea Rothballer and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Ulrike Kutay

108 papers receiving 14.4k citations

Hit Papers

Nuclear Export of MicroRN... 1996 2026 2006 2016 2003 1999 1996 1997 500 1000 1.5k 2.0k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ulrike Kutay 13.1k 2.1k 1.8k 1.1k 626 108 14.6k
Dirk Görlich 17.6k 1.3× 2.7k 1.3× 1.2k 0.7× 1.9k 1.7× 759 1.2× 119 19.6k
Nicholas T. Ingolia 15.0k 1.2× 1.1k 0.5× 4.0k 2.3× 1.2k 1.1× 808 1.3× 89 17.9k
Anastasia Khvorova 11.7k 0.9× 648 0.3× 4.1k 2.3× 1.4k 1.2× 462 0.7× 119 13.9k
Marilyn D. Resh 9.0k 0.7× 2.9k 1.4× 648 0.4× 868 0.8× 1.3k 2.1× 122 12.7k
Elena Conti 11.2k 0.9× 1.3k 0.6× 491 0.3× 702 0.6× 914 1.5× 173 13.2k
Brian Raught 13.9k 1.1× 2.7k 1.3× 1.4k 0.8× 1.6k 1.4× 2.2k 3.4× 171 17.2k
Blagoy Blagoev 10.6k 0.8× 1.8k 0.9× 1.1k 0.6× 664 0.6× 1.6k 2.6× 108 14.1k
Stephen A. Adam 10.0k 0.8× 2.1k 1.0× 314 0.2× 984 0.9× 502 0.8× 89 11.6k
Ina Poser 11.1k 0.9× 3.3k 1.5× 760 0.4× 862 0.8× 1.0k 1.6× 89 13.1k
Iain W. Mattaj 21.7k 1.7× 3.1k 1.5× 662 0.4× 1.7k 1.5× 978 1.6× 194 23.7k

Countries citing papers authored by Ulrike Kutay

Since Specialization
Citations

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

Fields of papers citing papers by Ulrike Kutay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ulrike Kutay

This figure shows the co-authorship network connecting the top 25 collaborators of Ulrike Kutay. A scholar is included among the top collaborators of Ulrike Kutay 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 Ulrike Kutay. Ulrike Kutay is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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