Daniel Eicke
Impact in
- Neurology top 2%
- Neuroinflammation and Neurodegeneration Mechanisms
- Neurological Disease Mechanisms and Treatments
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
Papers in
-
- Nuclear Receptors and Signaling 2
- Neuroscience and Neuropharmacology Research 2
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- Alzheimer's disease research and treatments 3
- Co-authors
- Mathias Jucker (5 shared papers)Michael E. Calhoun (4 shared papers)Shinichi Kohsaka (2 shared papers)Rebecca Radde (2 shared papers)William E. Klunk (1 shared paper)Tristan Bolmont (1 shared paper)Chester A. Mathis (1 shared paper)Florent Haiss (1 shared paper)
- Journals
- Journal of Neuroscience (2 papers)American Journal Of Pathology (1 paper)Neuroscience (1 paper)Annals of Neurology (1 paper)Journal of Neuroscience Methods (1 paper)
- Partner nations
- GermanySwitzerlandJapan
In The Last Decade
Daniel Eicke
6 papers receiving 594 citations
Peers
Comparison fields: 5 of 62
- Neurology 336
- Biological Psychiatry 58
- Physiology 362
- Developmental Neuroscience 32
- Cellular and Molecular Neuroscience 117
Countries citing papers authored by Daniel Eicke
This map shows the geographic impact of Daniel Eicke'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 Daniel Eicke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Eicke more than expected).
Fields of papers citing papers by Daniel Eicke
This network shows the impact of papers produced by Daniel Eicke. 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 Daniel Eicke. The network helps show where Daniel Eicke may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Eicke, 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 | 2008 | 410 | |
| 2 | 2011 | 111 | |
| 3 | 2009 | 34 | |
| 4 | 2011 | 21 | |
| 5 | 2019 | 15 | |
| 6 | 2010 | 9 |
About Daniel Eicke
Daniel Eicke is a scholar working on Cellular and Molecular Neuroscience, Physiology, Molecular Biology, Neurology and Cell Biology, having authored 6 papers that have together received 600 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (3 papers), Nuclear Receptors and Signaling (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Barrier Structure and Function Studies (1 paper), Neurogenesis and neuroplasticity mechanisms (1 paper), Advanced Fluorescence Microscopy Techniques (1 paper) and Prion Diseases and Protein Misfolding (1 paper). The work is most often cited by research in Neurology (336 citations), Biological Psychiatry (58 citations), Physiology (362 citations), Developmental Neuroscience (32 citations) and Cellular and Molecular Neuroscience (117 citations). Daniel Eicke has collaborated with scholars based in Germany, Switzerland and Japan. Frequent co-authors include Mathias Jucker, Michael E. Calhoun, Shinichi Kohsaka, Rebecca Radde, William E. Klunk, Tristan Bolmont, Chester A. Mathis, Florent Haiss, Bettina M. Wegenast‐Braun and David V. Milford. Their work appears in journals such as Journal of Neuroscience, American Journal Of Pathology, Neuroscience, Annals of Neurology and Journal of Neuroscience Methods.
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.