D. Ecker
Impact in
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- Genetic Neurodegenerative Diseases
- Neuroscience and Neuropharmacology Research
- Neurology top 5%
- Neurological disorders and treatments
- Parkinson's Disease Mechanisms and Treatments
Papers in
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- Genetic Neurodegenerative Diseases 6
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- Multiple Sclerosis Research Studies 3
- Co-authors
- G. Bernhard Landwehrmeyer (6 shared papers)Carlos Schönfeldt‐Lecuona (3 shared papers)Robert Christian Wolf (3 shared papers)Nenad Vasić (3 shared papers)Bernd Krämer (2 shared papers)Jan Kassubek (3 shared papers)P Kraus (2 shared papers)J. Andrich (1 shared paper)
- Journals
- European Journal of Neurology (1 paper)Experimental Brain Research (1 paper)Neurology (1 paper)Brain (1 paper)Journal of Neuroimmunology (1 paper)
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
D. Ecker
11 papers receiving 486 citations
Peers
Comparison fields: 5 of 59
- Cellular and Molecular Neuroscience 365
- Neurology 248
- Neurology 31
- Cognitive Neuroscience 67
- Biological Psychiatry 6
Countries citing papers authored by D. Ecker
This map shows the geographic impact of D. Ecker'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 D. Ecker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Ecker more than expected).
Fields of papers citing papers by D. Ecker
This network shows the impact of papers produced by D. Ecker. 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 D. Ecker. The network helps show where D. Ecker may publish in the future.
Co-authors
The 25 scholars most cited alongside D. Ecker, 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 | Topography of cerebral atrophy in early Huntington's disease: a voxel based morphometric MRI study. | 2004 | 220 |
| 2 | 2007 | 117 | |
| 3 | 2008 | 59 | |
| 4 | 2002 | 32 | |
| 5 | 2005 | 21 | |
| 6 | 1999 | 17 | |
| 7 | 2009 | 12 | |
| 8 | 2007 | 11 | |
| 9 | 2008 | 10 | |
| 10 | 2001 | 3 | |
| 11 | 2005 | 1 | |
| 12 | 2012 | 0 |
About D. Ecker
D. Ecker is a scholar working on Cellular and Molecular Neuroscience, Pathology and Forensic Medicine, Neurology, Neurology and Molecular Biology, having authored 12 papers that have together received 503 indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (6 papers), Neurological disorders and treatments (3 papers), Multiple Sclerosis Research Studies (3 papers), Sharing Economy and Platforms (1 paper), Immunotherapy and Immune Responses (1 paper), Metabolism and Genetic Disorders (1 paper), Amino Acid Enzymes and Metabolism (1 paper) and Mitochondrial Function and Pathology (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (365 citations), Neurology (248 citations), Neurology (31 citations), Cognitive Neuroscience (67 citations) and Biological Psychiatry (6 citations). D. Ecker has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include G. Bernhard Landwehrmeyer, Carlos Schönfeldt‐Lecuona, Robert Christian Wolf, Nenad Vasić, Bernd Krämer, Jan Kassubek, P Kraus, J. Andrich, Kai‐Olaf Henkel and Jochen Karitzky. Their work appears in journals such as European Journal of Neurology, Experimental Brain Research, Neurology, Brain and Journal of Neuroimmunology.
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.