Timo Denk

1.3k total citations · 1 hit paper
11 papers, 727 citations indexed

About

Timo Denk is a scholar working on Molecular Biology, Oncology and Infectious Diseases. According to data from OpenAlex, Timo Denk has authored 11 papers receiving a total of 727 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Oncology and 1 paper in Infectious Diseases. Recurrent topics in Timo Denk's work include RNA and protein synthesis mechanisms (8 papers), RNA modifications and cancer (7 papers) and RNA Research and Splicing (5 papers). Timo Denk is often cited by papers focused on RNA and protein synthesis mechanisms (8 papers), RNA modifications and cancer (7 papers) and RNA Research and Splicing (5 papers). Timo Denk collaborates with scholars based in Germany, China and France. Timo Denk's co-authors include Roland Beckmann, Matthias Thoms, Robert Buschauer, Jingdong Cheng, Christina M. Stürzel, Michael Ameismeier, Lennart Koepke, Timur Mackens‐Kiani, Thomas Fröhlich and Frank Kirchhoff and has published in prestigious journals such as Nature, Science and Nucleic Acids Research.

In The Last Decade

Timo Denk

8 papers receiving 720 citations

Hit Papers

Structural basis for translational shutdown and immune ev... 2020 2026 2022 2024 2020 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Timo Denk Germany 5 405 365 131 81 63 11 727
Timur Mackens‐Kiani Germany 7 410 1.0× 406 1.1× 164 1.3× 80 1.0× 62 1.0× 7 773
Michael Ameismeier Germany 7 408 1.0× 471 1.3× 131 1.0× 76 0.9× 62 1.0× 7 830
Orel Mizrahi Israel 9 380 0.9× 516 1.4× 133 1.0× 82 1.0× 41 0.7× 10 844
Manuel Hayn Germany 5 406 1.0× 240 0.7× 134 1.0× 70 0.9× 62 1.0× 8 598
Maximilian Hirschenberger Germany 7 439 1.1× 229 0.6× 147 1.1× 72 0.9× 77 1.2× 7 615
Katharina Schubert Switzerland 8 312 0.8× 260 0.7× 91 0.7× 76 0.9× 22 0.3× 10 523
Lukas‐Adrian Gurzeler Switzerland 4 298 0.7× 222 0.6× 85 0.6× 68 0.8× 22 0.3× 5 437
Yue Ma‐Lauer Germany 7 286 0.7× 148 0.4× 83 0.6× 33 0.4× 49 0.8× 11 434
Oded Danziger Israel 8 253 0.6× 208 0.6× 119 0.9× 23 0.3× 40 0.6× 9 464
Qingfeng Meng China 10 315 0.8× 319 0.9× 136 1.0× 17 0.2× 45 0.7× 19 663

Countries citing papers authored by Timo Denk

Since Specialization
Citations

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

Fields of papers citing papers by Timo Denk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Timo Denk

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

All Works

11 of 11 papers shown
1.
Denk, Timo, et al.. (2026). Structural basis of co-translational N-myristoylation in humans. Nature Communications. 17(1). 1191–1191.
2.
Saba, James A., Timo Denk, Eugene Park, et al.. (2025). ZAK activation at the collided ribosome. Nature. 649(8098). 1051–1060.
3.
Thoms, Matthias, Benjamin H.S. Lau, Timo Denk, et al.. (2025). H/ACA snR30 snoRNP guides independent 18S rRNA subdomain formation. Nature Communications. 16(1). 4720–4720.
4.
Becker, Thomas, et al.. (2025). The ribosome as a platform to coordinate mRNA decay. Nucleic Acids Research. 53(4). 3 indexed citations
5.
Thoms, Matthias, Klemens Wild, Timo Denk, et al.. (2025). Highly conserved ribosome biogenesis pathways between human and yeast revealed by the MDN1-NLE1 interaction and NLE1 containing pre-60S subunits. Nucleic Acids Research. 53(7). 1 indexed citations
6.
Li, Xiang, Mengjiao Wang, Timo Denk, et al.. (2024). Structural basis for differential inhibition of eukaryotic ribosomes by tigecycline. Nature Communications. 15(1). 5481–5481. 7 indexed citations
7.
Urs, Ankanahalli N. Nanjaraj, Timo Denk, Petr Těšina, et al.. (2024). Multiprotein bridging factor 1 is required for robust activation of the integrated stress response on collided ribosomes. Molecular Cell. 84(23). 4594–4611.e9. 3 indexed citations
8.
Thoms, Matthias, Benjamin H.S. Lau, Jingdong Cheng, et al.. (2023). Structural insights into coordinating 5S RNP rotation with ITS2 pre‐ RNA processing during ribosome formation. EMBO Reports. 24(12). e57984–e57984. 6 indexed citations
9.
Denk, Timo, Yoshitaka Matsuo, Takato Sugiyama, et al.. (2022). A distinct mammalian disome collision interface harbors K63-linked polyubiquitination of uS10 to trigger hRQT-mediated subunit dissociation. Nature Communications. 13(1). 6411–6411. 45 indexed citations
10.
Thoms, Matthias, Robert Buschauer, Michael Ameismeier, et al.. (2020). Structural basis for translational shutdown and immune evasion by the Nsp1 protein of SARS-CoV-2. Science. 369(6508). 1249–1255. 549 indexed citations breakdown →
11.
Sinha, Niladri K., Alban Ordureau, James A. Saba, et al.. (2020). EDF1 coordinates cellular responses to ribosome collisions. eLife. 9. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026