S.A. Eberle
Impact in
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- Cancer-related molecular mechanisms research
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- RNA modifications and cancer
- Cancer-related gene regulation
- Receptor Mechanisms and Signaling
- RNA Research and Splicing
Papers in
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- Receptor Mechanisms and Signaling 5
- RNA modifications and cancer 2
- Lipid Membrane Structure and Behavior 1
- RNA and protein synthesis mechanisms 1
- Oncology 4
- Chemokine receptors and signaling 4
- Cytokine Signaling Pathways and Interactions 1
- Co-authors
- L. Wiedmer (2 shared papers)R.K. Bedi (2 shared papers)Amedeo Caflisch (2 shared papers)Danzhi Huang (1 shared paper)Martin Gustavsson (4 shared papers)P. Sledz (1 shared paper)Thomas J. Schall (2 shared papers)Andreas Plückthun (2 shared papers)
- Journals
- Science Advances (2 papers)Structure (1 paper)The FASEB Journal (1 paper)Analytical Chemistry (1 paper)Cells (1 paper)
- Partner nations
- DenmarkUnited StatesSwitzerland
In The Last Decade
S.A. Eberle
8 papers receiving 289 citations
Peers
Comparison fields: 5 of 45
- Cancer Research 82
- Molecular Biology 263
- Cellular and Molecular Neuroscience 37
- Oncology 49
- Radiology, Nuclear Medicine and Imaging 37
Countries citing papers authored by S.A. Eberle
This map shows the geographic impact of S.A. Eberle'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 S.A. Eberle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S.A. Eberle more than expected).
Fields of papers citing papers by S.A. Eberle
This network shows the impact of papers produced by S.A. Eberle. 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 S.A. Eberle. The network helps show where S.A. Eberle may publish in the future.
Co-authors
The 25 scholars most cited alongside S.A. Eberle, 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 | 2020 | 139 | |
| 2 | 2022 | 43 | |
| 3 | 2019 | 40 | |
| 4 | 2021 | 33 | |
| 5 | 2022 | 23 | |
| 6 | 2024 | 6 | |
| 7 | 2022 | 5 | |
| 8 | 2022 | 1 |
About S.A. Eberle
S.A. Eberle is a scholar working on Molecular Biology, Oncology, Cellular and Molecular Neuroscience, Immunology and Radiology, Nuclear Medicine and Imaging, having authored 8 papers that have together received 290 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (5 papers), Chemokine receptors and signaling (4 papers), Neuropeptides and Animal Physiology (2 papers), RNA modifications and cancer (2 papers), Cytokine Signaling Pathways and Interactions (1 paper), HVDC Systems and Fault Protection (1 paper), Lipid Membrane Structure and Behavior (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Cancer Research (82 citations), Molecular Biology (263 citations), Cellular and Molecular Neuroscience (37 citations), Oncology (49 citations) and Radiology, Nuclear Medicine and Imaging (37 citations). S.A. Eberle has collaborated with scholars based in Denmark, United States and Switzerland. Frequent co-authors include L. Wiedmer, R.K. Bedi, Amedeo Caflisch, Danzhi Huang, Martin Gustavsson, P. Sledz, Thomas J. Schall, Andreas Plückthun, Anthony A. Kossiakoff and Penglie Zhang. Their work appears in journals such as Science Advances, Structure, The FASEB Journal, Analytical Chemistry and Cells.
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.