Katja Sträßer
Impact in
- Molecular Biology top 2%
- RNA Research and Splicing
- RNA modifications and cancer
- Nuclear Structure and Function
- RNA and protein synthesis mechanisms
- Genomics and Chromatin Dynamics
- RNA regulation and disease
- DNA Repair Mechanisms
- Fungal and yeast genetics research
- Aging top 10%
Papers in
-
- RNA Research and Splicing 32
- RNA and protein synthesis mechanisms 20
- RNA modifications and cancer 16
- Genomics and Chromatin Dynamics 10
- Nuclear Structure and Function 8
- Fungal and yeast genetics research 6
- DNA Repair Mechanisms 4
- Co-authors
- Ed HurtSittinan ChanaratRobin ReedSusanne RötherSusana Rodríguez‐NavarroMatthias MannSeiji MasudaKevin Struhl
- Journals
- Journal of Biological Chemistry (6 papers)Genes & Development (4 papers)Brain Research (3 papers)RNA (3 papers)Nucleic Acids Research (3 papers)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Katja Sträßer
42 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Molecular Biology 2.7k
- Aging 22
- Cancer Research 135
- Cell Biology 102
- Oncology 153
Countries citing papers authored by Katja Sträßer
This map shows the geographic impact of Katja Sträßer'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 Katja Sträßer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katja Sträßer more than expected).
Fields of papers citing papers by Katja Sträßer
This network shows the impact of papers produced by Katja Sträßer. 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 Katja Sträßer. The network helps show where Katja Sträßer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Katja Sträßer, 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 | 2024 | 10 | |
| 2 | 2023 | 2 | |
| 3 | 2022 | 8 | |
| 4 | 2020 | 15 | |
| 5 | 2016 | 1 | |
| 6 | 2016 | 20 | |
| 7 | 2016 | 33 | |
| 8 | 2015 | 22 | |
| 9 | 2013 | 106 | |
| 10 | 2013 | 53 | |
| 11 | 2013 | 26 | |
| 12 | 2012 | 23 | |
| 13 | 2012 | 97 | |
| 14 | 2011 | 169 | |
| 15 | 2010 | 16 | |
| 16 | 2008 | 21 | |
| 17 | 2008 | 39 | |
| 18 | 2008 | 32 | |
| 19 | 2006 | 14 | |
| 20 | 2002 | 23 |
About Katja Sträßer
Katja Sträßer is a scholar working on Molecular Biology, Biophysics, Immunology and Allergy, Pediatrics, Perinatology and Child Health and Nephrology, having authored 42 papers that have together received 3.0k indexed citations. Recurring topics across this work include RNA Research and Splicing (32 papers), RNA and protein synthesis mechanisms (20 papers), RNA modifications and cancer (16 papers), Genomics and Chromatin Dynamics (10 papers), Nuclear Structure and Function (8 papers), Fungal and yeast genetics research (6 papers), DNA Repair Mechanisms (4 papers) and Neonatal and fetal brain pathology (3 papers). The work is most often cited by research in Molecular Biology (2.7k citations), Aging (22 citations), Cancer Research (135 citations), Cell Biology (102 citations) and Oncology (153 citations). Katja Sträßer has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Ed Hurt, Sittinan Chanarat, Robin Reed, Susanne Röther, Susana Rodríguez‐Navarro, Matthias Mann, Seiji Masuda, Kevin Struhl, Jochen Baßler and Paul Mason. Their work appears in journals such as Journal of Biological Chemistry, Genes & Development, Brain Research, RNA and Nucleic Acids Research.
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.