Dan Ehninger
- Developmental Neuroscience top 0.2%
- Neurogenesis and neuroplasticity mechanisms 9
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms 10
- Neurology top 1%
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- Neuroscience and Neuropharmacology Research 23
- Behavioral Neuroscience top 2%
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- Alzheimer's disease research and treatments 12
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- Memory and Neural Mechanisms 9
- Neural dynamics and brain function 7
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- Mitochondrial Function and Pathology 8
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- Genetics and Neurodevelopmental Disorders 8
- Co-authors
- Alcino J. SilvaGerd KempermannWeidong LiYu ZhouCarrie ShilyanskyGolo KronenbergDavid J. KwiatkowskiVijaya Ramesh
- Journals
- Scientific Reports (6 papers)Neural Plasticity (6 papers)Mechanisms of Ageing and Development (5 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Dan Ehninger
85 papers receiving 4.6k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Developmental Neuroscience 1.1k
- Aging 206
- Neurology 595
- Cellular and Molecular Neuroscience 1.2k
- Behavioral Neuroscience 235
Countries citing papers authored by Dan Ehninger
This map shows the geographic impact of Dan Ehninger'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 Dan Ehninger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Ehninger more than expected).
Fields of papers citing papers by Dan Ehninger
This network shows the impact of papers produced by Dan Ehninger. 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 Dan Ehninger. The network helps show where Dan Ehninger may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dan Ehninger, 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 | 2025 | 2 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 6 | |
| 5 | 2023 | 20 | |
| 6 | 2022 | 7 | |
| 7 | 2022 | 15 | |
| 8 | 2021 | 7 | |
| 9 | 2020 | 88 | |
| 10 | 2020 | 47 | |
| 11 | 2020 | 6 | |
| 12 | 2017 | 17 | |
| 13 | 2017 | 9 | |
| 14 | 2015 | 58 | |
| 15 | 2013 | 85 | |
| 16 | 2011 | 89 | |
| 17 | 2010 | 241 | |
| 18 | 2009 | 17 | |
| 19 | Reversal of learning deficits in a Tsc2+/− mouse model of tuberous sclerosisbreakdown → | 2008 | 651 |
| 20 | 2007 | 144 |
About Dan Ehninger
Dan Ehninger is a scholar working on Aging, Developmental Neuroscience, Cellular and Molecular Neuroscience, Physiology and Cognitive Neuroscience, having authored 87 papers that have together received 4.7k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (23 papers), Alzheimer's disease research and treatments (12 papers), Genetics, Aging, and Longevity in Model Organisms (10 papers), Memory and Neural Mechanisms (9 papers), Neurogenesis and neuroplasticity mechanisms (9 papers), Mitochondrial Function and Pathology (8 papers), Genetics and Neurodevelopmental Disorders (8 papers) and Neural dynamics and brain function (7 papers). The work is most often cited by research in Developmental Neuroscience (1.1k citations), Aging (206 citations), Neurology (595 citations), Cellular and Molecular Neuroscience (1.2k citations) and Behavioral Neuroscience (235 citations). Dan Ehninger has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Alcino J. Silva, Gerd Kempermann, Weidong Li, Yu Zhou, Carrie Shilyansky, Golo Kronenberg, David J. Kwiatkowski, Vijaya Ramesh, Sangyeul Han and Kan Xie. Their work appears in journals such as Scientific Reports, Neural Plasticity, Mechanisms of Ageing and Development, Journal of Visualized Experiments and Cell Death Discovery.
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.