Viola Beier

952 total citations
10 papers, 699 citations indexed

About

Viola Beier is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, Viola Beier has authored 10 papers receiving a total of 699 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Oncology and 4 papers in Epidemiology. Recurrent topics in Viola Beier's work include Ubiquitin and proteasome pathways (5 papers), Autophagy in Disease and Therapy (4 papers) and Endoplasmic Reticulum Stress and Disease (3 papers). Viola Beier is often cited by papers focused on Ubiquitin and proteasome pathways (5 papers), Autophagy in Disease and Therapy (4 papers) and Endoplasmic Reticulum Stress and Disease (3 papers). Viola Beier collaborates with scholars based in Germany, France and United States. Viola Beier's co-authors include Thomas Wollert, Anna Kaufmann, Henri G. Franquelim, Yijian Rao, Wolf‐Dieter Schubert, Claus Urbanke, Jürgen Wehland, Eugen Domann, Trinad Chakraborty and Matthias P. Machner and has published in prestigious journals such as Nature, Cell and Nature Communications.

In The Last Decade

Viola Beier

10 papers receiving 692 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Viola Beier Germany	9	335	333	186	98	68	10	699
Sissy Kalayil Germany	9	504 1.5×	294 0.9×	160 0.9×	41 0.4×	14 0.2×	9	816
Francisco S. Mesquita Switzerland	13	354 1.1×	133 0.4×	118 0.6×	30 0.3×	43 0.6×	20	625
Takuo Osawa Japan	17	778 2.3×	446 1.3×	282 1.5×	120 1.2×	11 0.2×	27	1.2k
Rosario Cueva Spain	10	387 1.2×	214 0.6×	263 1.4×	52 0.5×	27 0.4×	19	585
Barry C. Holwerda United States	15	490 1.5×	240 0.7×	118 0.6×	133 1.4×	26 0.4×	22	845
Monika Słomińska-Wojewódzka Poland	18	365 1.1×	82 0.2×	134 0.7×	123 1.3×	19 0.3×	26	720
Michiyo Okamoto Japan	15	405 1.2×	216 0.6×	274 1.5×	17 0.2×	38 0.6×	32	720
Julien Barbier France	18	483 1.4×	151 0.5×	176 0.9×	113 1.2×	7 0.1×	47	1.0k
Melanie Ulrich United States	15	300 0.9×	126 0.4×	57 0.3×	25 0.3×	8 0.1×	22	666
Michael Taylor United States	17	302 0.9×	66 0.2×	199 1.1×	72 0.7×	20 0.3×	37	689

Countries citing papers authored by Viola Beier

Since Specialization

Citations

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

Fields of papers citing papers by Viola Beier

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Viola Beier

This figure shows the co-authorship network connecting the top 25 collaborators of Viola Beier. A scholar is included among the top collaborators of Viola Beier 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 Viola Beier. Viola Beier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

Muhar, Matthias, Raphael Hofmann, Lukas T. Henneberg, et al.. (2025). C-terminal amides mark proteins for degradation via SCF–FBXO31. Nature. 638(8050). 519–527. 8 indexed citations

Horn‐Ghetko, Daniel, Jiale Du, Viola Beier, et al.. (2024). Noncanonical assembly, neddylation and chimeric cullin–RING/RBR ubiquitylation by the 1.8 MDa CUL9 E3 ligase complex. Nature Structural & Molecular Biology. 31(7). 1083–1094. 3 indexed citations

Chrustowicz, Jakub, Dawafuti Sherpa, Christine Langlois, et al.. (2023). Multisite phosphorylation dictates selective E2-E3 pairing as revealed by Ubc8/UBE2H-GID/CTLH assemblies. Molecular Cell. 84(2). 293–308.e14. 11 indexed citations

Langlois, Christine, Viola Beier, Özge Karayel, et al.. (2022). A GID E3 ligase assembly ubiquitinates an Rsp5 E3 adaptor and regulates plasma membrane transporters. EMBO Reports. 23(6). e53835–e53835. 16 indexed citations

Wetzel, Lisa A., et al.. (2020). TECPR1 promotes aggrephagy by direct recruitment of LC3C autophagosomes to lysosomes. Nature Communications. 11(1). 2993–2993. 39 indexed citations

Qiao, Shuai, Christine Langlois, Jakub Chrustowicz, et al.. (2019). Interconversion between Anticipatory and Active GID E3 Ubiquitin Ligase Conformations via Metabolically Driven Substrate Receptor Assembly. Molecular Cell. 77(1). 150–163.e9. 60 indexed citations

Rao, Yijian, et al.. (2019). Atg11 tethers Atg9 vesicles to initiate selective autophagy. PLoS Biology. 17(7). e3000377–e3000377. 35 indexed citations

Rao, Yijian, et al.. (2016). The Atg1–kinase complex tethers Atg9-vesicles to initiate autophagy. Nature Communications. 7(1). 10338–10338. 104 indexed citations

Kaufmann, Anna, Viola Beier, Henri G. Franquelim, & Thomas Wollert. (2014). Molecular Mechanism of Autophagic Membrane-Scaffold Assembly and Disassembly. Cell. 156(3). 469–481. 188 indexed citations

10.

Schubert, Wolf‐Dieter, Claus Urbanke, Viola Beier, et al.. (2002). Structure of Internalin, a Major Invasion Protein of Listeria monocytogenes, in Complex with Its Human Receptor E-Cadherin. Cell. 111(6). 825–836. 235 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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