Ute Curth
Impact in
- Computational Theory and Mathematics top 0.2%
- Computational Drug Discovery Methods
- Infectious Diseases top 1%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
Papers in
-
- DNA Repair Mechanisms 13
- DNA and Nucleic Acid Chemistry 12
- RNA and protein synthesis mechanisms 9
- Protein purification and stability 4
- Protein Structure and Dynamics 4
- Genetics 17
- Bacterial Genetics and Biotechnology 16
- Co-authors
- Rolf Hilgenfeld (2 shared papers)Xinyuanyuan Sun (1 shared paper)Lucie Sauerhering (1 shared paper)Linlin Zhang (1 shared paper)Stephan Becker (1 shared paper)Christian Drosten (1 shared paper)Daizong Lin (1 shared paper)Katharina Rox (1 shared paper)
- Journals
- Nucleic Acids Research (6 papers)Journal of Biological Chemistry (5 papers)Biological Chemistry (2 papers)Analytical Biochemistry (2 papers)FEBS Letters (2 papers)
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
Ute Curth
45 papers receiving 3.9k citations
Ute Curth's Hit Papers
Peers
Comparison fields: 5 of 132
- Computational Theory and Mathematics 1.4k
- Infectious Diseases 1.3k
- Molecular Biology 2.0k
- Pharmacology 173
- Genetics 504
Countries citing papers authored by Ute Curth
This map shows the geographic impact of Ute Curth'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 Ute Curth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ute Curth more than expected).
Fields of papers citing papers by Ute Curth
This network shows the impact of papers produced by Ute Curth. 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 Ute Curth. The network helps show where Ute Curth may publish in the future.
Co-authors
The 25 scholars most cited alongside Ute Curth, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Crystal structure of SARS-CoV-2 main protease provides a basis for design of improved α-ketoamide inhibitors Hit paper breakdown → | 2020 | 2381 |
| 2 | 1997 | 150 | |
| 3 | 1996 | 128 | |
| 4 | 2011 | 121 | |
| 5 | 2015 | 104 | |
| 6 | 2000 | 101 | |
| 7 | 1994 | 91 | |
| 8 | 2013 | 91 | |
| 9 | 2021 | 83 | |
| 10 | 1997 | 60 | |
| 11 | 2017 | 48 | |
| 12 | 1993 | 43 | |
| 13 | 2016 | 42 | |
| 14 | 2011 | 41 | |
| 15 | 2015 | 35 | |
| 16 | 2008 | 35 | |
| 17 | 2006 | 32 | |
| 18 | 2013 | 30 | |
| 19 | 1991 | 28 | |
| 20 | 2013 | 26 |
About Ute Curth
Ute Curth is a scholar working on Molecular Biology, Genetics, Materials Chemistry, Cell Biology and Pathology and Forensic Medicine, having authored 45 papers that have together received 4.0k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (16 papers), DNA Repair Mechanisms (13 papers), DNA and Nucleic Acid Chemistry (12 papers), RNA and protein synthesis mechanisms (9 papers), Enzyme Structure and Function (5 papers), Protein purification and stability (4 papers), Protein Structure and Dynamics (4 papers) and Cellular transport and secretion (3 papers). The work is most often cited by research in Computational Theory and Mathematics (1.4k citations), Infectious Diseases (1.3k citations), Molecular Biology (2.0k citations), Pharmacology (173 citations) and Genetics (504 citations). Ute Curth has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Rolf Hilgenfeld, Xinyuanyuan Sun, Lucie Sauerhering, Linlin Zhang, Stephan Becker, Christian Drosten, Daizong Lin, Katharina Rox, Claus Urbanke and Joachim Greipel. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry, Biological Chemistry, Analytical Biochemistry and FEBS Letters.
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.