Beate Vieth
Impact in
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
- Molecular Biology top 10%
- Single-cell and spatial transcriptomics
- CRISPR and Genetic Engineering
- Gene expression and cancer classification
- RNA Research and Splicing
- RNA modifications and cancer
- Pluripotent Stem Cells Research
Papers in
-
- Single-cell and spatial transcriptomics 8
- Genomics and Phylogenetic Studies 3
- CRISPR and Genetic Engineering 2
- Extracellular vesicles in disease 2
- RNA and protein synthesis mechanisms 2
- RNA Research and Splicing 1
- Genetics 3
- Genetics and Neurodevelopmental Disorders 2
- Co-authors
- Wolfgang Enard (14 shared papers)Ines Hellmann (11 shared papers)Christoph Ziegenhain (9 shared papers)Swati Parekh (7 shared papers)Johanna Geuder (4 shared papers)Johannes Bagnoli (2 shared papers)Lucas E. Wange (3 shared papers)Aleksandar Janjic (2 shared papers)
- Journals
- Genome biology (2 papers)Nature Communications (2 papers)Bioinformatics (1 paper)Molecular Cell (1 paper)Human Molecular Genetics (1 paper)
- Partner nations
- GermanyUnited StatesSweden
In The Last Decade
Beate Vieth
14 papers receiving 990 citations
Peers
Comparison fields: 5 of 94
- Cancer Research 195
- Molecular Biology 790
- Biophysics 66
- Immunology 136
- Developmental Neuroscience 15
Countries citing papers authored by Beate Vieth
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 213 | |
| 2 | 2019 | 166 | |
| 3 | 2018 | 158 | |
| 4 | 2016 | 148 | |
| 5 | 2017 | 98 | |
| 6 | 2014 | 51 | |
| 7 | 2022 | 42 | |
| 8 | 2018 | 39 | |
| 9 | 2018 | 32 | |
| 10 | 2023 | 32 | |
| 11 | 2023 | 5 | |
| 12 | 2019 | 4 | |
| 13 | 2024 | 3 | |
| 14 | 2014 | 2 | |
| 15 | 2017 | 0 |
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 993 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (8 papers), Genomics and Phylogenetic Studies (3 papers), Genetics and Neurodevelopmental Disorders (2 papers), CRISPR and Genetic Engineering (2 papers), Cancer-related molecular mechanisms research (2 papers), Extracellular vesicles in disease (2 papers), RNA and protein synthesis mechanisms (2 papers) and RNA Research and Splicing (1 paper). The work is most often cited by research in Cancer Research (195 citations), Molecular Biology (790 citations), Biophysics (66 citations), Immunology (136 citations) and Developmental Neuroscience (15 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, Johanna Geuder, Johannes Bagnoli, Lucas E. Wange, Aleksandar Janjic, Sylvia Merkert and Ulrich Martin. Their work appears in journals such as Genome biology, Nature Communications, Bioinformatics, Molecular Cell 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.