Sina Stäble
Impact in
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- Histone Deacetylase Inhibitors Research
- CRISPR and Genetic Engineering
- Epigenetics and DNA Methylation
- Pluripotent Stem Cells Research
- Protein Degradation and Inhibitors
- RNA Interference and Gene Delivery
Papers in
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- Epigenetics and DNA Methylation 2
- Cancer-related gene regulation 2
- Single-cell and spatial transcriptomics 1
- Histone Deacetylase Inhibitors Research 1
- Protein Degradation and Inhibitors 1
- Pluripotent Stem Cells Research 1
- CRISPR and Genetic Engineering 1
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- Neuroblastoma Research and Treatments 1
- Co-authors
- Manuela Urban (1 shared paper)Richard P. Harbottle (1 shared paper)Franciscus van der Hoeven (1 shared paper)Karin Müller‐Decker (1 shared paper)Michael D. Milsom (3 shared papers)Matthias Bozza (1 shared paper)Tristan R. McKay (1 shared paper)Frank Westermann (1 shared paper)
- Journals
- Epigenetics (1 paper)The Journal of Immunology (1 paper)Experimental Hematology (1 paper)Cell Death and Differentiation (1 paper)Stem Cell Reports (1 paper)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Sina Stäble
5 papers receiving 52 citations
Peers
Comparison fields: 5 of 27
- Molecular Biology 47
- Aging 1
- Business and International Management 1
- Oncology 12
- Genetics 11
Countries citing papers authored by Sina Stäble
This map shows the geographic impact of Sina Stäble'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 Sina Stäble with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sina Stäble more than expected).
Fields of papers citing papers by Sina Stäble
This network shows the impact of papers produced by Sina Stäble. 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 Sina Stäble. The network helps show where Sina Stäble may publish in the future.
Co-authors
The 25 scholars most cited alongside Sina Stäble, 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 | 24 | |
| 2 | 2021 | 19 | |
| 3 | 2021 | 6 | |
| 4 | 2020 | 3 | |
| 5 | 2022 | 1 |
About Sina Stäble
Sina Stäble is a scholar working on Molecular Biology, Neurology, Immunology, Infectious Diseases and Organic Chemistry, having authored 5 papers that have together received 53 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (2 papers), Cancer-related gene regulation (2 papers), Single-cell and spatial transcriptomics (1 paper), Neuroblastoma Research and Treatments (1 paper), Histone Deacetylase Inhibitors Research (1 paper), Protein Degradation and Inhibitors (1 paper), Pluripotent Stem Cells Research (1 paper) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Molecular Biology (47 citations), Aging (1 citation), Business and International Management (1 citation), Oncology (12 citations) and Genetics (11 citations). Sina Stäble has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Manuela Urban, Richard P. Harbottle, Franciscus van der Hoeven, Karin Müller‐Decker, Michael D. Milsom, Matthias Bozza, Tristan R. McKay, Frank Westermann, Ina Oehme and Jing Shen. Their work appears in journals such as Epigenetics, The Journal of Immunology, Experimental Hematology, Cell Death and Differentiation and Stem Cell Reports.
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.