Ed Hurt

24.3k total citations · 3 hit papers
201 papers, 19.0k citations indexed

About

Ed Hurt is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Ed Hurt has authored 201 papers receiving a total of 19.0k indexed citations (citations by other indexed papers that have themselves been cited), including 199 papers in Molecular Biology, 18 papers in Oncology and 10 papers in Cell Biology. Recurrent topics in Ed Hurt's work include RNA Research and Splicing (149 papers), RNA modifications and cancer (114 papers) and RNA and protein synthesis mechanisms (114 papers). Ed Hurt is often cited by papers focused on RNA Research and Splicing (149 papers), RNA modifications and cancer (114 papers) and RNA and protein synthesis mechanisms (114 papers). Ed Hurt collaborates with scholars based in Germany, United Kingdom and United States. Ed Hurt's co-authors include Jochen Baßler, David Tollervey, Alwin Köhler, Robin Reed, Katja Sträßer, Martin Beck, Dieter Kressler, Herbert Tschochner, George Simos and Valérie Doye and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Ed Hurt

199 papers receiving 18.8k citations

Hit Papers

TREX is a conserved complex coupling transcription with m... 2002 2026 2010 2018 2002 2007 2016 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
Ed Hurt Germany 81 18.0k 1.5k 1.3k 800 784 201 19.0k
Bertrand Séraphin France 62 13.6k 0.8× 532 0.4× 860 0.7× 779 1.0× 839 1.1× 143 14.6k
Michael J. Matunis United States 46 10.3k 0.6× 1.7k 1.1× 997 0.8× 910 1.1× 499 0.6× 94 11.2k
Mary Dasso United States 51 7.5k 0.4× 1.3k 0.9× 2.3k 1.8× 673 0.8× 682 0.9× 119 8.4k
Stephen P. Bell United States 56 14.3k 0.8× 1.4k 0.9× 2.2k 1.7× 2.8k 3.5× 1.4k 1.8× 110 16.0k
Jonathan R. Warner United States 72 13.2k 0.7× 818 0.5× 920 0.7× 1.1k 1.3× 1.3k 1.6× 158 15.0k
Larry Gerace United States 70 16.3k 0.9× 940 0.6× 4.1k 3.2× 1.7k 2.1× 543 0.7× 133 18.1k
Dirk Görlich Germany 67 17.6k 1.0× 761 0.5× 2.7k 2.1× 1.9k 2.4× 684 0.9× 120 19.7k
Ulrike Kutay Switzerland 56 13.1k 0.7× 626 0.4× 2.1k 1.7× 1.1k 1.4× 608 0.8× 108 14.7k
Daniel Durocher Canada 58 13.1k 0.7× 4.1k 2.7× 1.6k 1.3× 1.5k 1.9× 720 0.9× 105 14.3k
Stephen A. Adam United States 52 10.1k 0.6× 508 0.3× 2.1k 1.7× 984 1.2× 415 0.5× 90 11.7k

Countries citing papers authored by Ed Hurt

Since Specialization
Citations

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

Fields of papers citing papers by Ed Hurt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ed Hurt

This figure shows the co-authorship network connecting the top 25 collaborators of Ed Hurt. A scholar is included among the top collaborators of Ed Hurt 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 Ed Hurt. Ed Hurt 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.
Amm, Ingo, Marion Weberruß, Andrea Hellwig, et al.. (2023). Distinct domains in Ndc1 mediate its interaction with the Nup84 complex and the nuclear membrane. The Journal of Cell Biology. 222(6). 4 indexed citations
2.
Mitterer, Valentin, Matthias Thoms, Robert Buschauer, et al.. (2023). Concurrent remodelling of nucleolar 60S subunit precursors by the Rea1 ATPase and Spb4 RNA helicase. eLife. 12. 9 indexed citations
3.
Kišonaitė, Miglė, Klemens Wild, Karine Lapouge, et al.. (2023). Structural inventory of cotranslational protein folding by the eukaryotic RAC complex. Nature Structural & Molecular Biology. 30(5). 670–677. 11 indexed citations
4.
Lau, Benjamin H.S., Nikola Kellner, Otto Berninghausen, et al.. (2023). Mechanism of 5S RNP recruitment and helicase‐surveilled rRNA maturation during pre‐60S biogenesis. EMBO Reports. 24(7). e56910–e56910. 11 indexed citations
5.
Strauß, Daniela, et al.. (2022). The C-terminal tail of ribosomal protein Rps15 is engaged in cytoplasmic pre-40S maturation. RNA Biology. 19(1). 560–574. 5 indexed citations
6.
Cheng, Jingdong, Benjamin H.S. Lau, Matthias Thoms, et al.. (2022). The nucleoplasmic phase of pre-40S formation prior to nuclear export. Nucleic Acids Research. 50(20). 11924–11937. 14 indexed citations
7.
Singh, Amit, et al.. (2021). Global Transcriptome Characterization and Assembly of the Thermophilic Ascomycete Chaetomium thermophilum. Genes. 12(10). 1549–1549. 6 indexed citations
8.
Cheng, Jingdong, Benjamin H.S. Lau, Michael Ameismeier, et al.. (2020). 90 S pre-ribosome transformation into the primordial 40 S subunit. Science. 369(6510). 1470–1476. 57 indexed citations
9.
Kater, Lukas, Valentin Mitterer, Matthias Thoms, et al.. (2020). Construction of the Central Protuberance and L1 Stalk during 60S Subunit Biogenesis. Molecular Cell. 79(4). 615–628.e5. 43 indexed citations
10.
Schuller, Jan M., et al.. (2018). Structure of the nuclear exosome captured on a maturing preribosome. Science. 360(6385). 219–222. 86 indexed citations
11.
Kressler, Dieter, Ed Hurt, & Jochen Baßler. (2017). A Puzzle of Life: Crafting Ribosomal Subunits. Trends in Biochemical Sciences. 42(8). 640–654. 130 indexed citations
12.
Kosiński, Jan, et al.. (2017). A short linear motif in scaffold Nup145C connects Y-complex with pre-assembled outer ring Nup82 complex. Nature Communications. 8(1). 1107–1107. 30 indexed citations
13.
Kosiński, Jan, Shyamal Mosalaganti, Alexander von Appen, et al.. (2016). Molecular architecture of the inner ring scaffold of the human nuclear pore complex. Science. 352(6283). 363–365. 233 indexed citations
14.
Kressler, Dieter, Gert Bange, Yutaka Ogawa, et al.. (2012). Synchronizing Nuclear Import of Ribosomal Proteins with Ribosome Assembly. Science. 338(6107). 666–671. 92 indexed citations
15.
Amlacher, Stefan, Dirk Flemming, Vera van Noort, et al.. (2011). Insight into Structure and Assembly of the Nuclear Pore Complex by Utilizing the Genome of a Eukaryotic Thermophile. Cell. 146(2). 277–289. 208 indexed citations
16.
Köhler, Alwin & Ed Hurt. (2010). Gene Regulation by Nucleoporins and Links to Cancer. Molecular Cell. 38(1). 6–15. 104 indexed citations
17.
Bozkurt, Günes, Goran Stjepanović, Fabio Vilardi, et al.. (2009). Structural insights into tail-anchored protein binding and membrane insertion by Get3. Proceedings of the National Academy of Sciences. 106(50). 21131–21136. 84 indexed citations
18.
Beck, Rainer, Zhe Sun, Frank Adolf, et al.. (2008). Membrane curvature induced by Arf1-GTP is essential for vesicle formation. Proceedings of the National Academy of Sciences. 105(33). 11731–11736. 134 indexed citations
19.
Simos, George & Ed Hurt. (1999). Transfer RNA biogenesis: A visa to leave the nucleus. Current Biology. 9(7). R238–R241. 30 indexed citations
20.
Santos-Rosa, Helena, George Simos, Alexandra Segref, et al.. (1998). Nuclear mRNA Export Requires Complex Formation between Mex67p and Mtr2p at the Nuclear Pores. Molecular and Cellular Biology. 18(11). 6826–6838. 229 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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