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
- vaccines and immunoinformatics approaches 3
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- SARS-CoV-2 and COVID-19 Research 8
- Co-authors
- Christoph Nitsche (19 shared papers)Gottfried Otting (5 shared papers)Colin J. Jackson (5 shared papers)Mithun C. Mahawaththa (4 shared papers)Richard J. Payne (4 shared papers)Toby Passioura (1 shared paper)Rebecca L. Frkic (1 shared paper)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)Biochemistry (1 paper)
- Partner nations
- AustraliaJapanUnited States
In The Last Decade
Sven Ullrich
19 papers receiving 886 citations
Hit Papers
Peers
Comparison fields: 5 of 67
- Computational Theory and Mathematics 489
- Infectious Diseases 470
- Organic Chemistry 189
- Pharmacology 52
- Molecular Biology 398
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 | 531 |
| 2 | Main protease mutants of SARS-CoV-2 variants remain susceptible to nirmatrelvir Hit paper breakdown → | 2022 | 139 |
| 3 | 2022 | 45 | |
| 4 | 2022 | 39 | |
| 5 | 2021 | 28 | |
| 6 | 2022 | 27 | |
| 7 | 2022 | 25 | |
| 8 | 2023 | 19 | |
| 9 | 2023 | 12 | |
| 10 | 2024 | 10 | |
| 11 | 2025 | 4 | |
| 12 | 2022 | 3 | |
| 13 | 2024 | 3 | |
| 14 | 2024 | 2 | |
| 15 | 2024 | 2 | |
| 16 | 2025 | 2 | |
| 17 | 2024 | 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 895 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), Computational Drug Discovery Methods (3 papers) and vaccines and immunoinformatics approaches (3 papers). The work is most often cited by research in Computational Theory and Mathematics (489 citations), Infectious Diseases (470 citations), Organic Chemistry (189 citations), Pharmacology (52 citations) and Molecular Biology (398 citations). Sven Ullrich has collaborated with scholars based in Australia, Japan and United States. Frequent co-authors include Christoph Nitsche, Gottfried Otting, Colin J. Jackson, Mithun C. Mahawaththa, Richard J. Payne, Toby Passioura, Rebecca L. Frkic, Mark Larance, Daniel Ford and Stuart Turville. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Australian Journal of Chemistry, Chemical Communications, Chemistry - A European Journal and Biochemistry.
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.