Daniela Strauß
Impact in
- Molecular Biology top 10%
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- Nuclear Structure and Function
- Cancer-related gene regulation
- Genomics and Chromatin Dynamics
- Ubiquitin and proteasome pathways
-
- Peptidase Inhibition and Analysis
Papers in
-
- RNA and protein synthesis mechanisms 10
- RNA Research and Splicing 9
- RNA modifications and cancer 6
- Nuclear Structure and Function 2
- ATP Synthase and ATPases Research 1
- Mitochondrial Function and Pathology 1
-
- interferon and immune responses 1
- Invertebrate Immune Response Mechanisms 1
- Co-authors
- Ed Hurt (7 shared papers)David Tollervey (3 shared papers)Olivier Gadal (3 shared papers)Jochen Baßler (3 shared papers)Jacques J. Kessl (1 shared paper)Bernard L. Trumpower (1 shared paper)Herbert Tschochner (2 shared papers)Elisabeth Petfalski (2 shared papers)
- Journals
- Molecular Cell (2 papers)Nucleic Acids Research (2 papers)The Journal of Cell Biology (1 paper)Science (1 paper)RNA Biology (1 paper)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Daniela Strauß
11 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 66
- Molecular Biology 990
- Oncology 114
- Structural Biology 2
- Immunology 27
- Aging 2
Countries citing papers authored by Daniela Strauß
This map shows the geographic impact of Daniela Strauß'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 Daniela Strauß with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Strauß more than expected).
Fields of papers citing papers by Daniela Strauß
This network shows the impact of papers produced by Daniela Strauß. 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 Daniela Strauß. The network helps show where Daniela Strauß may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Strauß, 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 | 2002 | 387 | |
| 2 | 2001 | 268 | |
| 3 | 2003 | 110 | |
| 4 | 2012 | 92 | |
| 5 | 2002 | 66 | |
| 6 | 2019 | 52 | |
| 7 | 2017 | 30 | |
| 8 | 2018 | 15 | |
| 9 | 2017 | 6 | |
| 10 | 2022 | 5 | |
| 11 | 2022 | 2 |
About Daniela Strauß
Daniela Strauß is a scholar working on Molecular Biology, Immunology, Oncology, Infectious Diseases and Organic Chemistry, having authored 11 papers that have together received 1.0k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (10 papers), RNA Research and Splicing (9 papers), RNA modifications and cancer (6 papers), Nuclear Structure and Function (2 papers), interferon and immune responses (1 paper), Invertebrate Immune Response Mechanisms (1 paper), ATP Synthase and ATPases Research (1 paper) and Mitochondrial Function and Pathology (1 paper). The work is most often cited by research in Molecular Biology (990 citations), Oncology (114 citations), Structural Biology (2 citations), Immunology (27 citations) and Aging (2 citations). Daniela Strauß has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Ed Hurt, David Tollervey, Olivier Gadal, Jochen Baßler, Jacques J. Kessl, Bernard L. Trumpower, Herbert Tschochner, Elisabeth Petfalski, Vladimir Rybin and Anne‐Claude Gavin. Their work appears in journals such as Molecular Cell, Nucleic Acids Research, The Journal of Cell Biology, Science and RNA Biology.
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.