Beatrix Ueberheide
Impact in
- Molecular Biology top 0.5%
- Epigenetics and DNA Methylation
- Genomics and Chromatin Dynamics
- RNA modifications and cancer
- Cancer-related gene regulation
- Ubiquitin and proteasome pathways
- Spectroscopy top 0.5%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
Papers in
-
- Mitochondrial Function and Pathology 16
- Epigenetics and DNA Methylation 15
- Genomics and Chromatin Dynamics 13
- Ubiquitin and proteasome pathways 10
- Nicotinic Acetylcholine Receptors Study 10
- Cell Biology 18
- Endoplasmic Reticulum Stress and Disease 12
- Co-authors
- Donald F. HuntJeffrey ShabanowitzC. David AllisJohn E. P. SykaJessica R. ChapmanBenjamin A. GarcíaShruti NayakManor Askenazi
- Journals
- Proceedings of the National Academy of Sciences (12 papers)Acta Neuropathologica (8 papers)Cell Reports (6 papers)Nature (6 papers)Nature Communications (5 papers)
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
Beatrix Ueberheide
126 papers receiving 8.4k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Molecular Biology 6.3k
- Spectroscopy 1.2k
- Immunology 1.1k
- Cancer Research 506
- Cell Biology 509
Countries citing papers authored by Beatrix Ueberheide
This map shows the geographic impact of Beatrix Ueberheide'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 Beatrix Ueberheide with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beatrix Ueberheide more than expected).
Fields of papers citing papers by Beatrix Ueberheide
This network shows the impact of papers produced by Beatrix Ueberheide. 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 Beatrix Ueberheide. The network helps show where Beatrix Ueberheide may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Beatrix Ueberheide, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2023 | 10 | |
| 5 | 2023 | 5 | |
| 6 | 2023 | 28 | |
| 7 | 2023 | 8 | |
| 8 | 2023 | 2 | |
| 9 | 2022 | 36 | |
| 10 | 2021 | 36 | |
| 11 | 2021 | 21 | |
| 12 | 2021 | 47 | |
| 13 | 2020 | 6 | |
| 14 | 2020 | 231 | |
| 15 | 2020 | 81 | |
| 16 | 2019 | 20 | |
| 17 | 2018 | 14 | |
| 18 | 2018 | 283 | |
| 19 | 2015 | 129 | |
| 20 | 2013 | 156 |
About Beatrix Ueberheide
Beatrix Ueberheide is a scholar working on Molecular Biology, Cell Biology, Microbiology, Infectious Diseases and Physiology, having authored 133 papers that have together received 8.5k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (16 papers), Alzheimer's disease research and treatments (16 papers), Epigenetics and DNA Methylation (15 papers), Genomics and Chromatin Dynamics (13 papers), Endoplasmic Reticulum Stress and Disease (12 papers), Ubiquitin and proteasome pathways (10 papers), Advanced Proteomics Techniques and Applications (10 papers) and Nicotinic Acetylcholine Receptors Study (10 papers). The work is most often cited by research in Molecular Biology (6.3k citations), Spectroscopy (1.2k citations), Immunology (1.1k citations), Cancer Research (506 citations) and Cell Biology (509 citations). Beatrix Ueberheide has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Donald F. Hunt, Jeffrey Shabanowitz, C. David Allis, John E. P. Syka, Jessica R. Chapman, Benjamin A. García, Shruti Nayak, Manor Askenazi, Joshua J. Coon and Thomas Wısnıewskı. Their work appears in journals such as Proceedings of the National Academy of Sciences, Acta Neuropathologica, Cell Reports, Nature and Nature Communications.
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.