Timo Denk
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Viral gastroenteritis research and epidemiology
-
- interferon and immune responses
Papers in
-
- RNA and protein synthesis mechanisms 8
- RNA modifications and cancer 7
- RNA Research and Splicing 5
- Signaling Pathways in Disease 1
- Oncology 3
- Peptidase Inhibition and Analysis 3
- Co-authors
- Roland Beckmann (12 shared papers)Matthias Thoms (6 shared papers)Jingdong Cheng (5 shared papers)Robert Buschauer (2 shared papers)Thomas A. Becker (3 shared papers)Otto Berninghausen (6 shared papers)Thomas Fröhlich (1 shared paper)Christina Martina Stürzel (1 shared paper)
- Journals
- Nature Communications (5 papers)Nucleic Acids Research (2 papers)Science (1 paper)Molecular Cell (1 paper)EMBO Reports (1 paper)
- Partner nations
- GermanyChinaUnited States
In The Last Decade
Timo Denk
11 papers receiving 832 citations
Timo Denk's Hit Papers
Peers
Comparison fields: 5 of 70
- Infectious Diseases 438
- Immunology 146
- Animal Science and Zoology 65
- Molecular Biology 405
- Neurology 65
Countries citing papers authored by Timo Denk
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
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-authors
The 25 scholars most cited alongside Timo Denk, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Structural basis for translational shutdown and immune evasion by the Nsp1 protein of SARS-CoV-2 Hit paper breakdown → | 2020 | 620 |
| 2 | 2020 | 131 | |
| 3 | 2022 | 51 | |
| 4 | 2024 | 12 | |
| 5 | 2024 | 8 | |
| 6 | 2025 | 8 | |
| 7 | 2023 | 6 | |
| 8 | 2025 | 6 | |
| 9 | 2025 | 2 | |
| 10 | 2026 | 1 | |
| 11 | 2025 | 1 | |
| 12 | 2026 | 0 |
About Timo Denk
Timo Denk is a scholar working on Molecular Biology, Oncology, Infectious Diseases, Immunology and Ecology, having authored 12 papers that have together received 846 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (8 papers), RNA modifications and cancer (7 papers), RNA Research and Splicing (5 papers), Peptidase Inhibition and Analysis (3 papers), Viral gastroenteritis research and epidemiology (1 paper), interferon and immune responses (1 paper), Signaling Pathways in Disease (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). The work is most often cited by research in Infectious Diseases (438 citations), Immunology (146 citations), Animal Science and Zoology (65 citations), Molecular Biology (405 citations) and Neurology (65 citations). Timo Denk has collaborated with scholars based in Germany, China and United States. Frequent co-authors include Roland Beckmann, Matthias Thoms, Jingdong Cheng, Robert Buschauer, Thomas A. Becker, Otto Berninghausen, Thomas Fröhlich, Christina Martina Stürzel, Maximilian Hirschenberger and Konstantin M. J. Sparrer. Their work appears in journals such as Nature Communications, Nucleic Acids Research, Science, Molecular Cell and EMBO Reports.
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.