Sven Ullrich

1.3k total citations · 2 hit papers
21 papers, 895 citations indexed

About

Sven Ullrich is a scholar working on Molecular Biology, Infectious Diseases and Organic Chemistry. According to data from OpenAlex, Sven Ullrich has authored 21 papers receiving a total of 895 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 9 papers in Infectious Diseases and 6 papers in Organic Chemistry. Recurrent topics in Sven Ullrich's work include Chemical Synthesis and Analysis (9 papers), SARS-CoV-2 and COVID-19 Research (8 papers) and Click Chemistry and Applications (6 papers). Sven Ullrich is often cited by papers focused on Chemical Synthesis and Analysis (9 papers), SARS-CoV-2 and COVID-19 Research (8 papers) and Click Chemistry and Applications (6 papers). Sven Ullrich collaborates with scholars based in Australia, Japan and United States. Sven Ullrich's co-authors include Christoph Nitsche, Gottfried Otting, Colin J. Jackson, Richard J. Payne, Mithun C. Mahawaththa, Stuart Turville, Daniel Ford, Anthony J. O’Donoghue, Xiaobai Zhang and Toby Passioura and has published in prestigious journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and Biochemistry.

In The Last Decade

Sven Ullrich

19 papers receiving 886 citations

Hit Papers

The SARS-CoV-2 main protease as drug target 2020 2026 2022 2024 2020 2022 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sven Ullrich Australia 10 489 470 398 189 52 21 895
Daniel W. Kneller United States 16 563 1.2× 538 1.1× 478 1.2× 194 1.0× 29 0.6× 30 1.0k
Tommy Szeto United States 5 645 1.3× 683 1.5× 300 0.8× 205 1.1× 37 0.7× 5 1.0k
M. Sacco United States 12 907 1.9× 915 1.9× 461 1.2× 321 1.7× 64 1.2× 18 1.5k
Haozhou Tan United States 13 339 0.7× 427 0.9× 229 0.6× 142 0.8× 26 0.5× 27 700
Julia A. Townsend United States 11 953 1.9× 939 2.0× 528 1.3× 353 1.9× 65 1.3× 18 1.6k
Jared S. Morse United States 4 225 0.5× 410 0.9× 200 0.5× 81 0.4× 35 0.7× 4 668
Changkang Huang China 10 429 0.9× 518 1.1× 378 0.9× 182 1.0× 22 0.4× 12 865
Rajib Islam Bangladesh 6 276 0.6× 195 0.4× 211 0.5× 88 0.5× 47 0.9× 8 539
Md. Rimon Parves Bangladesh 9 266 0.5× 183 0.4× 235 0.6× 95 0.5× 49 0.9× 13 566
Yiwei Liu China 6 406 0.8× 586 1.2× 334 0.8× 110 0.6× 39 0.8× 7 963

Countries citing papers authored by Sven Ullrich

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Sven Ullrich

This figure shows the co-authorship network connecting the top 25 collaborators of Sven Ullrich. A scholar is included among the top collaborators of Sven Ullrich based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sven Ullrich. Sven Ullrich is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ullrich, Sven. (2025). Shaping the future of constrained peptides and compact proteins in drug discovery. Australian Journal of Chemistry. 78(10).
2.
Ghosh, Pritha, et al.. (2025). Peptide–Bismuth Tricycles: Maximizing Stability by Constraint. Chemistry - A European Journal. 31(8). e202500064–e202500064. 4 indexed citations
3.
Ullrich, Sven, et al.. (2025). Rational design and selection of next-generation cyclotide drugs using the knotted cyclic peptide scaffold MCoTI-II. Australian Journal of Chemistry. 78(8). 1 indexed citations
4.
Ullrich, Sven & Christoph Nitsche. (2025). Synthesis of Bicyclic Peptides Using Cyanopyridine-Aminothiol Click Chemistry. Methods in molecular biology. 2931. 13–25.
5.
He, Junming, et al.. (2025). Synthesis, screening and validation of cysteine-reactive fragments as chikungunya virus protease inhibitors. Bioorganic & Medicinal Chemistry Letters. 122. 130176–130176. 1 indexed citations
6.
Ullrich, Sven, et al.. (2025). Assembling branched and macrocyclic peptides on proteins. Chemical Communications. 61(14). 3009–3012. 2 indexed citations
7.
Ullrich, Sven & Christoph Nitsche. (2024). A RaPID Response to SARS‐CoV‐2. Israel Journal of Chemistry. 2 indexed citations
8.
Ullrich, Sven, et al.. (2024). Non-symmetric cysteine stapling in native peptides and proteins. Chemical Communications. 61(5). 933–936. 2 indexed citations
9.
Ullrich, Sven, et al.. (2024). Phage-encoded bismuth bicycles enable instant access to targeted bioactive peptides. Communications Chemistry. 7(1). 143–143. 10 indexed citations
10.
Ullrich, Sven, Anupriya Aggarwal, Mark Larance, et al.. (2024). Exploiting Hydrophobic Amino Acid Scanning to Develop Cyclic Peptide Inhibitors of the SARS‐CoV‐2 Main Protease with Antiviral Activity. Chemistry - A European Journal. 30(44). e202401606–e202401606. 2 indexed citations
11.
Ullrich, Sven, et al.. (2024). Synthesis and stability studies of constrained peptide–antimony bicycles. Australian Journal of Chemistry. 77(9). 3 indexed citations
12.
Mahawaththa, Mithun C., Haocheng Qianzhu, Elwy H. Abdelkader, et al.. (2023). Probing Ligand Binding Sites on Large Proteins by Nuclear Magnetic Resonance Spectroscopy of Genetically Encoded Non-Canonical Amino Acids. Journal of Medicinal Chemistry. 66(7). 5289–5304. 12 indexed citations
13.
Ullrich, Sven & Christoph Nitsche. (2023). Bicyclic peptides: Paving the road for therapeutics of the future. Peptide Science. 116(2). 19 indexed citations
14.
Ullrich, Sven, Rebecca L. Frkic, Anupriya Aggarwal, et al.. (2022). Antiviral cyclic peptides targeting the main protease of SARS-CoV-2. Chemical Science. 13(13). 3826–3836. 45 indexed citations
15.
Ullrich, Sven, et al.. (2022). Biocompatible and Selective Generation of Bicyclic Peptides**. Angewandte Chemie International Edition. 61(43). e202208400–e202208400. 27 indexed citations
16.
Mahawaththa, Mithun C., Akiva Feintuch, Ansis Maļeckis, et al.. (2022). Site-selective generation of lanthanoid binding sites on proteins using 4-fluoro-2,6-dicyanopyridine. SHILAP Revista de lepidopterología. 3(2). 169–182. 3 indexed citations
17.
Ullrich, Sven & Christoph Nitsche. (2022). SARS‐CoV‐2 Papain‐Like Protease: Structure, Function and Inhibition. ChemBioChem. 23(19). e202200327–e202200327. 39 indexed citations
18.
Ullrich, Sven, et al.. (2022). Main protease mutants of SARS-CoV-2 variants remain susceptible to nirmatrelvir. Bioorganic & Medicinal Chemistry Letters. 62. 128629–128629. 139 indexed citations breakdown →
19.
Ullrich, Sven, Mithun C. Mahawaththa, Xiaobai Zhang, et al.. (2021). Challenges of short substrate analogues as SARS-CoV-2 main protease inhibitors. Bioorganic & Medicinal Chemistry Letters. 50. 128333–128333. 28 indexed citations
20.
Ullrich, Sven & Christoph Nitsche. (2020). The SARS-CoV-2 main protease as drug target. Bioorganic & Medicinal Chemistry Letters. 30(17). 127377–127377. 531 indexed citations breakdown →

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.

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