Ute Curth
- Computational Theory and Mathematics top 0.2%
- Infectious Diseases top 1%
- Molecular Biology top 5%
- DNA Repair Mechanisms 13
- DNA and Nucleic Acid Chemistry 12
- RNA and protein synthesis mechanisms 9
- Protein Structure and Dynamics 4
- Protein purification and stability 4
- Pharmacology top 2%
- Genetics top 5%
- Bacterial Genetics and Biotechnology 17
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- Enzyme Structure and Function 5
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- Cellular Mechanics and Interactions 3
- Co-authors
- Rolf HilgenfeldStephan BeckerChristian DrostenLucie SauerheringKatharina RoxLinlin ZhangDaizong LinXinyuanyuan Sun
- Journals
- Nucleic Acids Research (6 papers)Journal of Biological Chemistry (5 papers)Scientific Reports (2 papers)
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
Ute Curth
45 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Computational Theory and Mathematics 1.4k
- Infectious Diseases 1.3k
- Molecular Biology 2.0k
- Pharmacology 182
- Genetics 514
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 2 | |
| 2 | 2021 | 82 | |
| 3 | 2021 | 1 | |
| 4 | Crystal structure of SARS-CoV-2 main protease provides a basis for design of improved α-ketoamide inhibitorsbreakdown → | 2020 | 2334 |
| 5 | 2019 | 6 | |
| 6 | 2016 | 16 | |
| 7 | 2015 | 101 | |
| 8 | 2014 | 11 | |
| 9 | 2014 | 11 | |
| 10 | 2013 | 25 | |
| 11 | 2012 | 6 | |
| 12 | 2011 | 22 | |
| 13 | 2011 | 4 | |
| 14 | 2007 | 21 | |
| 15 | 2002 | 8 | |
| 16 | 2000 | 100 | |
| 17 | 1997 | 149 | |
| 18 | 1995 | 2 | |
| 19 | 1994 | 90 | |
| 20 | 1991 | 28 |
About Ute Curth
Ute Curth is a scholar working on Genetics, Molecular Biology, Endocrinology, Cell Biology and Geriatrics and Gerontology, having authored 45 papers that have together received 3.9k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (17 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 Structure and Dynamics (4 papers), Protein purification and stability (4 papers) and Cellular Mechanics and Interactions (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 (182 citations) and Genetics (514 citations). Ute Curth has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Rolf Hilgenfeld, Stephan Becker, Christian Drosten, Lucie Sauerhering, Katharina Rox, Linlin Zhang, Daizong Lin, Xinyuanyuan Sun, Claus Urbanke and Joachim Greipel. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry, Scientific Reports, European Journal of Biochemistry and Biological Chemistry.
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.