Beate Vieth

2.1k citations
15 papers · 954 · h-index 10

Impact in

    • Cancer Genomics and Diagnostics
    • Cancer-related molecular mechanisms research
  • Biophysics top 5%
    • Cell Image Analysis Techniques

Papers in

    • Single-cell and spatial transcriptomics 8
    • Genomics and Phylogenetic Studies 3
    • RNA and protein synthesis mechanisms 2
    • Extracellular vesicles in disease 2
    • RNA Research and Splicing 2
    • CRISPR and Genetic Engineering 2
    • Genetics and Neurodevelopmental Disorders 2

Beate Vieth

14 papers receiving 952 citations

Peers

Beate Vieth
Comparison fields: 5 of 95
  • Cancer Research 222
  • Biophysics 76
  • Molecular Biology 792
  • Immunology 148
  • Neurology 30
Replace Anastasiya Boltengagen with:
Anastasiya Boltengagen Germany
Terri D. Bryson United States
Sivaraman Natarajan United States
Chenling Xu United States
Matthew L Speir United States
Anna Pistocchi Italy
Paul Sample United States
Carla Mulas United Kingdom
Anna Kuchina United States
O’Neil Wiggan United States
Beate Vieth relative to Anastasiya Boltengagen Germany Anastasiya Boltengagen's profile →
Citations per field
00.5×
Anastasiya Boltengagen · 1×
Citations per year

Countries citing papers authored by Beate Vieth

Since Specialization
Citations

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

Fields of papers citing papers by Beate Vieth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Beate Vieth, 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 Beate Vieth Line = papers co-authored together Beate Vieth links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2018205
2 2019161
3 2018153
4 2016144
5 201794
6 201451
7 202239
8 201836
9 201832
10 202327
11 20235
12 20194
13 20142
14 20241
15 20170

About Beate Vieth

Beate Vieth is a scholar working on Molecular Biology, Genetics, Cancer Research, Surgery and Social Psychology, having authored 15 papers that have together received 954 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (8 papers), Genomics and Phylogenetic Studies (3 papers), RNA and protein synthesis mechanisms (2 papers), Extracellular vesicles in disease (2 papers), Genetics and Neurodevelopmental Disorders (2 papers), RNA Research and Splicing (2 papers), Cancer-related molecular mechanisms research (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Cancer Research (222 citations), Biophysics (76 citations), Molecular Biology (792 citations), Immunology (148 citations) and Neurology (30 citations). Beate Vieth has collaborated with scholars based in Germany, United States and Sweden. Frequent co-authors include Wolfgang Enard, Ines Hellmann, Christoph Ziegenhain, Swati Parekh, Lucas E. Wange, Johanna Geuder, Aleksandar Janjic, Johannes Bagnoli, Axel Schambach and Eliza Curnow. Their work appears in journals such as Nature Communications, Genome biology, Cortex, Scientific Reports and Human Molecular Genetics.

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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