Daniel Ecker
Impact in
- Neurology top 5%
- Neurological disorders and treatments
- Parkinson's Disease Mechanisms and Treatments
- Amyotrophic Lateral Sclerosis Research
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- Genetic Neurodegenerative Diseases
- Neuroscience and Neuropharmacology Research
Papers in
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- Neurological disorders and treatments 5
- Parkinson's Disease Mechanisms and Treatments 2
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- Genetic Neurodegenerative Diseases 5
- Neuroscience and Neuropharmacology Research 2
- Co-authors
- G. Bernhard Landwehrmeyer (5 shared papers)Jan Kassubek (4 shared papers)Freimut D. Juengling (3 shared papers)Robert Christian Wolf (2 shared papers)Carlos Schönfeldt‐Lecuona (2 shared papers)Nenad Vasić (2 shared papers)Albert C. Ludolph (2 shared papers)Hayrettin Tumani (2 shared papers)
- Journals
- Neuroreport (2 papers)Experimental Neurology (1 paper)Cerebral Cortex (1 paper)Clinical Chemistry and Laboratory Medicine (CCLM) (1 paper)NeuroImage (1 paper)
- Partner nations
- GermanyUnited StatesSweden
In The Last Decade
Daniel Ecker
11 papers receiving 620 citations
Peers
Comparison fields: 5 of 73
- Neurology 360
- Cellular and Molecular Neuroscience 342
- Cognitive Neuroscience 157
- Neurology 44
- Biological Psychiatry 9
Countries citing papers authored by Daniel Ecker
This map shows the geographic impact of Daniel 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 Daniel Ecker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Ecker more than expected).
Fields of papers citing papers by Daniel Ecker
This network shows the impact of papers produced by Daniel 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 Daniel Ecker. The network helps show where Daniel Ecker may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel 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 | 2004 | 138 | |
| 2 | 2008 | 88 | |
| 3 | 2003 | 80 | |
| 4 | 2011 | 66 | |
| 5 | 2008 | 65 | |
| 6 | 2009 | 57 | |
| 7 | 2004 | 56 | |
| 8 | 2000 | 31 | |
| 9 | 2003 | 30 | |
| 10 | 2007 | 21 | |
| 11 | 2018 | 8 |
About Daniel Ecker
Daniel Ecker is a scholar working on Neurology, Cellular and Molecular Neuroscience, Molecular Biology, Physiology and Surgery, having authored 11 papers that have together received 640 indexed citations. Recurring topics across this work include Neurological disorders and treatments (5 papers), Genetic Neurodegenerative Diseases (5 papers), Mitochondrial Function and Pathology (3 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Functional Brain Connectivity Studies (1 paper), PI3K/AKT/mTOR signaling in cancer (1 paper) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Neurology (360 citations), Cellular and Molecular Neuroscience (342 citations), Cognitive Neuroscience (157 citations), Neurology (44 citations) and Biological Psychiatry (9 citations). Daniel Ecker has collaborated with scholars based in Germany, United States and Sweden. Frequent co-authors include G. Bernhard Landwehrmeyer, Jan Kassubek, Freimut D. Juengling, Robert Christian Wolf, Carlos Schönfeldt‐Lecuona, Nenad Vasić, Albert C. Ludolph, Hayrettin Tumani, Sigurd D. Süßmuth and Fabio Sambataro. Their work appears in journals such as Neuroreport, Experimental Neurology, Cerebral Cortex, Clinical Chemistry and Laboratory Medicine (CCLM) and NeuroImage.
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.