Daniela Dreymüller
Impact in
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- Neurogenesis and neuroplasticity mechanisms
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- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- Genomics and Chromatin Dynamics 1
- Biochemical and Structural Characterization 1
- Receptor Mechanisms and Signaling 1
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- Monoclonal and Polyclonal Antibodies Research 2
- Co-authors
- Dmitriy Minond (2 shared papers)Andreas Ludwig (2 shared papers)Gregg B. Fields (2 shared papers)Christoph Becker‐Pauly (1 shared paper)Thomas D. Bannister (1 shared paper)Radleigh G. Santos (1 shared paper)Franck Madoux (1 shared paper)Timothy Spicer (1 shared paper)
- Journals
- Scientific Reports (2 papers)PLANT PHYSIOLOGY (1 paper)Journal of Medicinal Chemistry (1 paper)Respiratory Research (1 paper)Journal of Neuroscience (1 paper)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Daniela Dreymüller
6 papers receiving 325 citations
Peers
Comparison fields: 5 of 107
- Developmental Neuroscience 27
- Neurology 41
- Immunology and Allergy 14
- Pathology and Forensic Medicine 40
- Biological Psychiatry 4
Countries citing papers authored by Daniela Dreymüller
This map shows the geographic impact of Daniela Dreymüller'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 Daniela Dreymüller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Dreymüller more than expected).
Fields of papers citing papers by Daniela Dreymüller
This network shows the impact of papers produced by Daniela Dreymüller. 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 Daniela Dreymüller. The network helps show where Daniela Dreymüller may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Dreymüller, 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 | 2016 | 161 | |
| 2 | 2016 | 64 | |
| 3 | 2006 | 40 | |
| 4 | 2016 | 25 | |
| 5 | 2017 | 20 | |
| 6 | 2015 | 17 |
About Daniela Dreymüller
Daniela Dreymüller is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Cellular and Molecular Neuroscience, Pulmonary and Respiratory Medicine and Oncology, having authored 6 papers that have together received 327 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (2 papers), Cell Adhesion Molecules Research (1 paper), Genomics and Chromatin Dynamics (1 paper), Pulmonary Hypertension Research and Treatments (1 paper), Biochemical and Structural Characterization (1 paper), Receptor Mechanisms and Signaling (1 paper), Asthma and respiratory diseases (1 paper) and Peptidase Inhibition and Analysis (1 paper). The work is most often cited by research in Developmental Neuroscience (27 citations), Neurology (41 citations), Immunology and Allergy (14 citations), Pathology and Forensic Medicine (40 citations) and Biological Psychiatry (4 citations). Daniela Dreymüller has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Dmitriy Minond, Andreas Ludwig, Gregg B. Fields, Christoph Becker‐Pauly, Thomas D. Bannister, Radleigh G. Santos, Franck Madoux, Timothy Spicer, Mare Čudić and Louis Scampavia. Their work appears in journals such as Scientific Reports, PLANT PHYSIOLOGY, Journal of Medicinal Chemistry, Respiratory Research and Journal of Neuroscience.
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.