Ed Hurt

24.3k citations
201 papers · 19.0k indexed · 3 hit papers · h-index 81
    • RNA Research and Splicing 149
    • RNA modifications and cancer 114
    • RNA and protein synthesis mechanisms 114
    • Nuclear Structure and Function 86
    • Genomics and Chromatin Dynamics 14
    • RNA regulation and disease 11
    • Ubiquitin and proteasome pathways 9
  • Cell Biology top 0.5%
  • Oncology top 2%
    • Peptidase Inhibition and Analysis 17
  • Aging top 5%

Ed Hurt

199 papers receiving 18.8k citations

Hit Papers

The nuclear pore complex: understan...4622002202620102018200400600

Peers

Ed Hurt
Comparison fields: 5 of 139
  • Molecular Biology 18.0k
  • Structural Biology 181
  • Cell Biology 1.3k
  • Oncology 1.5k
  • Aging 87
Replace Frauke Melchior with:
Frauke Melchior Germany
Hitoshi Kurumizaka Japan
Johannes C. Walter United States
Dirk Görlich Germany
Karsten Weis United States
Daniel Finley United States
Larry Gerace United States
Michael J. Matunis United States
Mary Dasso United States
Ulrike Kutay Switzerland
Ed Hurt relative to Frauke Melchior Germany Frauke Melchior's profile →
Citations per field
00.5×
Frauke Melchior · 1×
Citations per year

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

The 25 scholars most cited alongside Ed Hurt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ed Hurt Line = papers co-authored together Ed Hurt links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20253
2 20242
3 20238
4 20234
5 20236
6 202311
7 202311
8 20232
9 20225
10 202214
11 20216
12 202057
13 201886
14 201725
15 201781
16 201730
17 2016233
18 201292
19 2008134
20 1998229

About Ed Hurt

Ed Hurt is a scholar working on Molecular Biology, Structural Biology and Oncology, having authored 201 papers that have together received 19.0k indexed citations. Recurring topics across this work include RNA Research and Splicing (149 papers), RNA modifications and cancer (114 papers), RNA and protein synthesis mechanisms (114 papers), Nuclear Structure and Function (86 papers), Peptidase Inhibition and Analysis (17 papers), Genomics and Chromatin Dynamics (14 papers), RNA regulation and disease (11 papers) and Ubiquitin and proteasome pathways (9 papers). The work is most often cited by research in Molecular Biology (18.0k citations), Structural Biology (181 citations) and Cell Biology (1.3k citations). Ed Hurt has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Jochen Baßler, David Tollervey, Alwin Köhler, Robin Reed, Katja Sträßer, Martin Beck, Dieter Kressler, Herbert Tschochner, George Simos and Valérie Doye. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Cell Biology, Molecular Cell, Nature Structural & Molecular Biology and The EMBO Journal.

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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