Viola Beier

978 citations
10 papers · 734 · h-index 9

Impact in

  • Physiology top 5%
    • Calcium signaling and nucleotide metabolism
    • Listeria monocytogenes in Food Safety
    • Microbial Inactivation Methods

Papers in

    • Ubiquitin and proteasome pathways 5
    • Protein Degradation and Inhibitors 3
    • Cancer-related Molecular Pathways 3

Viola Beier

10 papers receiving 720 citations

Peers

Viola Beier
Comparison fields: 5 of 76
  • Physiology 61
  • Biotechnology 105
  • Cell Biology 189
  • Epidemiology 340
  • Parasitology 42
Replace Takuo Osawa with:
Takuo Osawa Japan
Francisco S. Mesquita Switzerland
Monika Słomińska-Wojewódzka Poland
Sissy Kalayil Germany
Sabine Strahl‐Bolsinger Germany
Sophie Lev Australia
Rosario Cueva Spain
Melanie Ulrich United States
Emma Byres Australia
Andrew Hotson United States
Viola Beier relative to Takuo Osawa Japan Takuo Osawa's profile →
Citations per field
00.5×1.5×
Takuo Osawa · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Viola Beier, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Viola Beier Line = papers co-authored together Viola Beier links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2002251
2 2014192
3 2016108
4 201960
5 202042
6 201936
7 202216
8 202313
9 202511
10 20245

About Viola Beier

Viola Beier is a scholar working on Molecular Biology, Oncology, Epidemiology, Cell Biology and Physiology, having authored 10 papers that have together received 734 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (5 papers), Autophagy in Disease and Therapy (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Protein Degradation and Inhibitors (3 papers), Cancer-related Molecular Pathways (3 papers), Cellular transport and secretion (2 papers), Microbial Inactivation Methods (1 paper) and Adenosine and Purinergic Signaling (1 paper). The work is most often cited by research in Physiology (61 citations), Biotechnology (105 citations), Cell Biology (189 citations), Epidemiology (340 citations) and Parasitology (42 citations). Viola Beier has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Thomas Wollert, Anna Kaufmann, Henri G. Franquelim, Yijian Rao, Wolf‐Dieter Schubert, Jürgen Wehland, Matthias P. Machner, Trinad Chakraborty, Eugen Domann and Dirk W. Heinz. Their work appears in journals such as Nature Communications, Molecular Cell, Cell, PLoS Biology and Nature Structural & Molecular Biology.

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.

Explore authors with similar magnitude of impact