Hannah Voß
Impact in
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- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
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- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
Papers in
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- Metabolomics and Mass Spectrometry Studies 3
- Gene expression and cancer classification 2
- Single-cell and spatial transcriptomics 2
- Extracellular vesicles in disease 2
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- Advanced Proteomics Techniques and Applications 7
- Mass Spectrometry Techniques and Applications 4
- Co-authors
- Hartmut Schlüter (24 shared papers)Christoph Krisp (4 shared papers)Julia E. Neumann (4 shared papers)Marcus Wurlitzer (4 shared papers)Matthias Dottermusch (4 shared papers)Philipp Neumann (2 shared papers)Penelope Pelczar (2 shared papers)Samuel Huber (2 shared papers)
In The Last Decade
Hannah Voß
24 papers receiving 164 citations
Peers
Comparison fields: 5 of 58
- Cancer Research 29
- Spectroscopy 22
- Molecular Biology 83
- Biophysics 5
- Oncology 14
Countries citing papers authored by Hannah Voß
This map shows the geographic impact of Hannah Voß'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 Hannah Voß with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hannah Voß more than expected).
Fields of papers citing papers by Hannah Voß
This network shows the impact of papers produced by Hannah Voß. 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 Hannah Voß. The network helps show where Hannah Voß may publish in the future.
Co-authors
The 25 scholars most cited alongside Hannah Voß, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 36 | |
| 2 | 2023 | 13 | |
| 3 | 2024 | 11 | |
| 4 | 2021 | 10 | |
| 5 | 2021 | 10 | |
| 6 | 2020 | 10 | |
| 7 | 2021 | 9 | |
| 8 | 2024 | 9 | |
| 9 | 2024 | 8 | |
| 10 | 2022 | 7 | |
| 11 | 2021 | 7 | |
| 12 | 2020 | 6 | |
| 13 | 2023 | 5 | |
| 14 | 2022 | 4 | |
| 15 | 2024 | 3 | |
| 16 | 2023 | 3 | |
| 17 | 2021 | 3 | |
| 18 | 2025 | 2 | |
| 19 | 2025 | 2 | |
| 20 | 2024 | 2 |
About Hannah Voß
Hannah Voß is a scholar working on Molecular Biology, Spectroscopy, Cancer Research, Pulmonary and Respiratory Medicine and Cell Biology, having authored 27 papers that have together received 165 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (7 papers), Mass Spectrometry Techniques and Applications (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Gene expression and cancer classification (2 papers), Single-cell and spatial transcriptomics (2 papers), Extracellular vesicles in disease (2 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Retinal Imaging and Analysis (1 paper). The work is most often cited by research in Cancer Research (29 citations), Spectroscopy (22 citations), Molecular Biology (83 citations), Biophysics (5 citations) and Oncology (14 citations). Hannah Voß has collaborated with scholars based in Germany, China and Australia. Frequent co-authors include Hartmut Schlüter, Christoph Krisp, Julia E. Neumann, Marcus Wurlitzer, Matthias Dottermusch, Philipp Neumann, Penelope Pelczar, Samuel Huber, Clément Verkest and Stefan G. Lechner. Their work appears in journals such as International Journal of Molecular Sciences, Neuro-Oncology, Nature Communications, Journal of Neuroinflammation and Clinical Chemistry.
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.