Sven Ullrich
Impact in
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- Computational Drug Discovery Methods
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
Papers in
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- Chemical Synthesis and Analysis 9
- Biochemical and Structural Characterization 4
- RNA and protein synthesis mechanisms 4
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- SARS-CoV-2 and COVID-19 Research 8
- COVID-19 Clinical Research Studies 3
- Co-authors
- Christoph Nitsche (19 shared papers)Gottfried Otting (5 shared papers)Colin J. Jackson (5 shared papers)Richard J. Payne (4 shared papers)Mithun C. Mahawaththa (4 shared papers)Anupriya Aggarwal (2 shared papers)Stuart Turville (2 shared papers)Mark Larance (2 shared papers)
- Journals
- Bioorganic & Medicinal Chemistry Letters (4 papers)Australian Journal of Chemistry (3 papers)Chemical Communications (2 papers)Chemistry - A European Journal (2 papers)Journal of Medicinal Chemistry (1 paper)
- Partner nations
- AustraliaUnited StatesJapan
In The Last Decade
Sven Ullrich
19 papers receiving 920 citations
Sven Ullrich's Hit Papers
Peers
Comparison fields: 5 of 70
- Computational Theory and Mathematics 482
- Infectious Diseases 454
- Organic Chemistry 188
- Pharmacology 50
- Molecular Biology 402
Countries citing papers authored by Sven Ullrich
This map shows the geographic impact of Sven Ullrich'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 Sven Ullrich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sven Ullrich more than expected).
Fields of papers citing papers by Sven Ullrich
This network shows the impact of papers produced by Sven Ullrich. 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 Sven Ullrich. The network helps show where Sven Ullrich may publish in the future.
Co-authors
The 25 scholars most cited alongside Sven Ullrich, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The SARS-CoV-2 main protease as drug target Hit paper breakdown → | 2020 | 545 |
| 2 | Main protease mutants of SARS-CoV-2 variants remain susceptible to nirmatrelvir Hit paper breakdown → | 2022 | 142 |
| 3 | 2022 | 48 | |
| 4 | 2022 | 41 | |
| 5 | 2022 | 29 | |
| 6 | 2021 | 28 | |
| 7 | 2022 | 26 | |
| 8 | 2023 | 21 | |
| 9 | 2024 | 14 | |
| 10 | 2023 | 12 | |
| 11 | 2025 | 6 | |
| 12 | 2024 | 4 | |
| 13 | 2022 | 3 | |
| 14 | 2024 | 3 | |
| 15 | 2024 | 2 | |
| 16 | 2024 | 2 | |
| 17 | 2025 | 2 | |
| 18 | 2025 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2025 | 0 |
About Sven Ullrich
Sven Ullrich is a scholar working on Molecular Biology, Infectious Diseases, Organic Chemistry, Radiology, Nuclear Medicine and Imaging and Computational Theory and Mathematics, having authored 21 papers that have together received 930 indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (9 papers), SARS-CoV-2 and COVID-19 Research (8 papers), Click Chemistry and Applications (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Biochemical and Structural Characterization (4 papers), RNA and protein synthesis mechanisms (4 papers), COVID-19 Clinical Research Studies (3 papers) and Computational Drug Discovery Methods (3 papers). The work is most often cited by research in Computational Theory and Mathematics (482 citations), Infectious Diseases (454 citations), Organic Chemistry (188 citations), Pharmacology (50 citations) and Molecular Biology (402 citations). Sven Ullrich has collaborated with scholars based in Australia, United States and Japan. Frequent co-authors include Christoph Nitsche, Gottfried Otting, Colin J. Jackson, Richard J. Payne, Mithun C. Mahawaththa, Anupriya Aggarwal, Stuart Turville, Mark Larance, Toby Passioura and Rebecca L. Frkic. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Australian Journal of Chemistry, Chemical Communications, Chemistry - A European Journal and Journal of Medicinal 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.