Sonja Lorenz

2.2k total citations · 1 hit paper
33 papers, 1.8k citations indexed

About

Sonja Lorenz is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Sonja Lorenz has authored 33 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 9 papers in Oncology and 5 papers in Cell Biology. Recurrent topics in Sonja Lorenz's work include Ubiquitin and proteasome pathways (17 papers), Protein Degradation and Inhibitors (8 papers) and Glycosylation and Glycoproteins Research (6 papers). Sonja Lorenz is often cited by papers focused on Ubiquitin and proteasome pathways (17 papers), Protein Degradation and Inhibitors (8 papers) and Glycosylation and Glycoproteins Research (6 papers). Sonja Lorenz collaborates with scholars based in Germany, United States and United Kingdom. Sonja Lorenz's co-authors include Eike Brunner, Manfred Sumper, Nils Kröger, John Kuriyan, Michael Rapé, David E. Wemmer, Katherine E. Wickliffe, Eric R. Strieter, Kirandeep K. Deol and Emily Montal and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Sonja Lorenz

30 papers receiving 1.7k citations

Hit Papers

Self-Assembly of Highly Phosphorylated Silaffins and Thei... 2002 2026 2010 2018 2002 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sonja Lorenz Germany 16 1.1k 706 280 232 186 33 1.8k
Jeroen Goos Netherlands 16 390 0.4× 839 1.2× 173 0.6× 415 1.8× 157 0.8× 32 1.8k
Zhiyi Zhou China 27 662 0.6× 271 0.4× 149 0.5× 175 0.8× 739 4.0× 82 2.1k
Ha‐Young Lee South Korea 25 504 0.5× 554 0.8× 69 0.2× 585 2.5× 178 1.0× 94 2.4k
Yoseph Addadi Israel 20 488 0.5× 192 0.3× 242 0.9× 68 0.3× 51 0.3× 43 1.2k
Naama Kessler Israel 20 1.2k 1.1× 218 0.3× 365 1.3× 133 0.6× 48 0.3× 36 1.8k
Farid J. Ghadessy Singapore 23 1.8k 1.7× 118 0.2× 302 1.1× 169 0.7× 47 0.3× 70 2.4k
Ian Henderson United States 27 959 0.9× 90 0.1× 170 0.6× 189 0.8× 40 0.2× 104 2.1k
Paolo Arcari Italy 22 1.1k 1.0× 142 0.2× 149 0.5× 375 1.6× 23 0.1× 89 2.0k
Jean‐Claude Scimeca France 29 1.2k 1.1× 171 0.2× 309 1.1× 138 0.6× 24 0.1× 56 2.2k
Jennifer Cha United States 6 367 0.3× 508 0.7× 81 0.3× 231 1.0× 66 0.4× 11 996

Countries citing papers authored by Sonja Lorenz

Since Specialization
Citations

This map shows the geographic impact of Sonja Lorenz'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 Sonja Lorenz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sonja Lorenz more than expected).

Fields of papers citing papers by Sonja Lorenz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sonja Lorenz. 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 Sonja Lorenz. The network helps show where Sonja Lorenz may publish in the future.

Co-authorship network of co-authors of Sonja Lorenz

This figure shows the co-authorship network connecting the top 25 collaborators of Sonja Lorenz. A scholar is included among the top collaborators of Sonja Lorenz 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 Sonja Lorenz. Sonja Lorenz 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.
Silbern, Ivan, et al.. (2025). Ca2+-Triggered (de)ubiquitination Events in Synapses. Molecular & Cellular Proteomics. 24(4). 100946–100946.
2.
Wolter, M., Jon M. Huibregtse, Falk Butter, et al.. (2025). A Leishmania virulence factor harnesses an allosteric kinase switch to regulate its ubiquitin ligase activity. Molecular Cell. 85(19). 3711–3728.e11.
3.
Kokić, Goran, Diana van den Heuvel, Yana van der Weegen, et al.. (2024). Structural basis for RNA polymerase II ubiquitylation and inactivation in transcription-coupled repair. Nature Structural & Molecular Biology. 31(3). 536–547. 24 indexed citations
4.
Ambrozkiewicz, Mateusz C. & Sonja Lorenz. (2024). Understanding ubiquitination in neurodevelopment by integrating insights across space and time. Nature Structural & Molecular Biology. 32(1). 14–22. 2 indexed citations
5.
Wolter, M., Olexandr Dybkov, Katherine E. Bohnsack, et al.. (2024). Structural mechanisms of autoinhibition and substrate recognition by the ubiquitin ligase HACE1. Nature Structural & Molecular Biology. 31(2). 364–377. 13 indexed citations
6.
Hodgson, G. S., Stefan M.V. Freund, Sarah Maslen, et al.. (2023). Recruitment of trimeric eIF2 by phosphatase non-catalytic subunit PPP1R15B. Molecular Cell. 84(3). 506–521.e11. 2 indexed citations
7.
Pettitt, Stephen J., Nan Shao, Diana Zatreanu, et al.. (2023). A HUWE1 defect causes PARP inhibitor resistance by modulating the BRCA1-∆11q splice variant. Oncogene. 42(36). 2701–2709. 3 indexed citations
8.
Liu, Bing, et al.. (2021). Reconstitution and Structural Analysis of a HECT Ligase-Ubiquitin Complex via an Activity-Based Probe. ACS Chemical Biology. 16(9). 1615–1621. 12 indexed citations
9.
Möglich, Andreas, et al.. (2021). Identification of an atypical interaction site in the BTB domain of the MYC-interacting zinc-finger protein 1. Structure. 29(11). 1230–1240.e5. 8 indexed citations
10.
Schweimer, Kristian, et al.. (2020). Dimerization regulates the human APC/C-associated ubiquitin-conjugating enzyme UBE2S. Science Signaling. 13(654). 12 indexed citations
11.
Deol, Kirandeep K., Sonja Lorenz, & Eric R. Strieter. (2019). Enzymatic Logic of Ubiquitin Chain Assembly. Frontiers in Physiology. 10. 835–835. 81 indexed citations
12.
Schweimer, Kristian, Lu Yu, Theodoros I. Roumeliotis, et al.. (2019). Autoinhibition Mechanism of the Ubiquitin-Conjugating Enzyme UBE2S by Autoubiquitination. Structure. 27(8). 1195–1210.e7. 21 indexed citations
13.
Deol, Kirandeep K., et al.. (2019). Analysis of ubiquitin recognition by the HECT ligase E6AP provides insight into its linkage specificity. Journal of Biological Chemistry. 294(15). 6113–6129. 15 indexed citations
14.
Li, Chien‐Feng, Jiabei He, Emily Montal, et al.. (2019). Non-proteolytic ubiquitination of Hexokinase 2 by HectH9 controls tumor metabolism and cancer stem cell expansion. Nature Communications. 10(1). 107 indexed citations
15.
Xu, Wenshan, et al.. (2017). A conformational switch regulates the ubiquitin ligase HUWE1. eLife. 6. 51 indexed citations
16.
Lorenz, Sonja, Aaron J. Cantor, Michael Rapé, & John Kuriyan. (2013). Macromolecular juggling by ubiquitylation enzymes. BMC Biology. 11(1). 65–65. 49 indexed citations
17.
Wickliffe, Katherine E., Sonja Lorenz, David E. Wemmer, John Kuriyan, & Michael Rapé. (2011). The Mechanism of Linkage-Specific Ubiquitin Chain Elongation by a Single-Subunit E2. Cell. 144(5). 769–781. 231 indexed citations
18.
Lorenz, Sonja, Ioannis Vakonakis, E.D. Lowe, et al.. (2008). Structural Analysis of the Interactions Between Paxillin LD Motifs and α-Parvin. Structure. 16(10). 1521–1531. 30 indexed citations
19.
Sumper, Manfred, Sonja Lorenz, & Eike Brunner. (2003). Biomimetic Control of Size in the Polyamine‐Directed Formation of Silica Nanospheres. Angewandte Chemie International Edition. 42(42). 5192–5195. 170 indexed citations
20.
Spudich, Giulietta, Sonja Lorenz, & Susan Marqusee. (2002). Propagation of a single destabilizing mutation throughout the Escherichia coli ribonuclease HI native state. Protein Science. 11(3). 522–528. 19 indexed citations

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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