Dan Ehninger

7.1k total citations · 1 hit paper
87 papers, 4.7k citations indexed

About

Dan Ehninger is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Dan Ehninger has authored 87 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 30 papers in Cellular and Molecular Neuroscience and 30 papers in Physiology. Recurrent topics in Dan Ehninger's work include Neuroscience and Neuropharmacology Research (23 papers), Alzheimer's disease research and treatments (12 papers) and Genetics, Aging, and Longevity in Model Organisms (10 papers). Dan Ehninger is often cited by papers focused on Neuroscience and Neuropharmacology Research (23 papers), Alzheimer's disease research and treatments (12 papers) and Genetics, Aging, and Longevity in Model Organisms (10 papers). Dan Ehninger collaborates with scholars based in Germany, United States and United Kingdom. Dan Ehninger's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Medicine.

In The Last Decade

Dan Ehninger

85 papers receiving 4.6k citations

Hit Papers

Reversal of learning deficits in a Tsc2+/− mouse model of... 2008 2026 2014 2020 2008 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dan Ehninger Germany 34 1.8k 1.2k 1.1k 1.1k 993 87 4.7k
Jinsoo Seo South Korea 29 3.0k 1.7× 1.5k 1.2× 1.0k 0.9× 516 0.5× 888 0.9× 71 5.3k
Farahnaz Sananbenesi Germany 26 3.1k 1.8× 1.3k 1.1× 1.2k 1.1× 539 0.5× 653 0.7× 37 5.4k
Ahmad Salehi United States 38 1.7k 0.9× 1.2k 1.0× 1.7k 1.5× 444 0.4× 670 0.7× 95 5.0k
Irène Knuesel Switzerland 34 1.6k 0.9× 1.3k 1.1× 1.2k 1.1× 872 0.8× 492 0.5× 60 5.7k
Francesco Impagnatiello United States 31 1.7k 1.0× 1.8k 1.5× 479 0.4× 1.1k 1.0× 554 0.6× 51 4.4k
Hyeon Son South Korea 34 2.0k 1.1× 2.8k 2.3× 814 0.7× 1.1k 1.0× 844 0.8× 82 5.8k
Angelika Schmitt Germany 43 1.7k 1.0× 2.2k 1.8× 695 0.6× 682 0.6× 769 0.8× 95 5.0k
Maribel Rios United States 29 1.2k 0.7× 2.7k 2.2× 1.0k 0.9× 999 0.9× 935 0.9× 46 5.9k
Oliver von Bohlen und Halbach Germany 41 1.8k 1.0× 2.1k 1.7× 738 0.7× 1.2k 1.1× 609 0.6× 115 5.1k
Thomas A. Comery United States 20 2.1k 1.2× 1.5k 1.3× 1.2k 1.1× 302 0.3× 1.1k 1.1× 40 4.6k

Countries citing papers authored by Dan Ehninger

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Dan Ehninger

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Ehninger. A scholar is included among the top collaborators of Dan Ehninger based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dan Ehninger. Dan Ehninger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Mondal, Mrityunjoy, Carmelina Petrungaro, Dan Ehninger, et al.. (2025). Interaction with AK2A links AIFM1 to cellular energy metabolism. Molecular Cell. 85(13). 2550–2566.e6. 2 indexed citations
2.
Hoffmann, Christian, Han Wang, Lena Wischhof, et al.. (2024). Actin-nucleation promoting factor N-WASP influences alpha-synuclein condensates and pathology. Cell Death and Disease. 15(4). 304–304. 4 indexed citations
3.
Li, Tao, Kan Xie, Bernd Taschler, et al.. (2024). Analysis of the senescence‐associated cell surfaceome reveals potential senotherapeutic targets. Aging Cell. 23(12). e14312–e14312. 1 indexed citations
4.
Xie, Kan & Dan Ehninger. (2023). Ageing-associated phenotypes in mice. Mechanisms of Ageing and Development. 214. 111852–111852. 6 indexed citations
5.
Bano, Daniele, Dan Ehninger, & Giacinto Bagetta. (2023). Decoding metabolic signatures in Alzheimer’s disease: a mitochondrial perspective. Cell Death Discovery. 9(1). 432–432. 20 indexed citations
6.
Piazzesi, Antonia, Lena Wischhof, Viktoria V. Zeisler‐Diehl, et al.. (2022). CEST‐2.2 overexpression alters lipid metabolism and extends longevity of mitochondrial mutants. EMBO Reports. 23(5). e52606–e52606. 7 indexed citations
7.
Wischhof, Lena, Michael Peitz, Oliver Brüstle, et al.. (2022). BCL7A ‐containing SWI/SNF/BAF complexes modulate mitochondrial bioenergetics during neural progenitor differentiation. The EMBO Journal. 41(23). e110595–e110595. 15 indexed citations
8.
Bano, Daniele, Paolo Salomoni, Dan Ehninger, & Pierluigi Nicotera. (2021). The histone code in dementia: Transcriptional and chromatin plasticity fades away. Current Opinion in Pharmacology. 60. 117–122. 7 indexed citations
9.
Bellantuono, Ilaria, Rafael de Cabo, Dan Ehninger, et al.. (2020). A toolbox for the longitudinal assessment of healthspan in aging mice. Nature Protocols. 15(2). 540–574. 88 indexed citations
10.
Poll, Stefanie, Manuel Mittag, Julia Steffen, et al.. (2020). Memory trace interference impairs recall in a mouse model of Alzheimer’s disease. Nature Neuroscience. 23(8). 952–958. 47 indexed citations
11.
Xie, Kan, Μαριάννα Καπετάνου, Kyriaki Sidiropoulou, et al.. (2020). Signaling pathways of dietary energy restriction and metabolism on brain physiology and in age-related neurodegenerative diseases. Mechanisms of Ageing and Development. 192. 111364–111364. 6 indexed citations
12.
Henzel, Kristin S., Devon Ryan, Susanne Schröder, Marco Weiergräber, & Dan Ehninger. (2017). High-dose maternal folic acid supplementation before conception impairs reversal learning in offspring mice. Scientific Reports. 7(1). 3098–3098. 17 indexed citations
13.
Pearson, Brandon L. & Dan Ehninger. (2017). Environmental Chemicals and Aging. Current Environmental Health Reports. 4(1). 38–43. 9 indexed citations
14.
Wagner, Jens A., Sybille Krauß, Song Shi, et al.. (2015). Reducing tau aggregates with anle138b delays disease progression in a mouse model of tauopathies. Acta Neuropathologica. 130(5). 619–631. 58 indexed citations
15.
Zhou, Miou, Weidong Li, Shan Huang, et al.. (2013). mTOR Inhibition Ameliorates Cognitive and Affective Deficits Caused by Disc1 Knockdown in Adult-Born Dentate Granule Neurons. Neuron. 77(4). 647–654. 85 indexed citations
16.
Ehninger, Dan, Liping Wang, Friederike Klempin, et al.. (2011). Enriched environment and physical activity reduce microglia and influence the fate of NG2 cells in the amygdala of adult mice. Cell and Tissue Research. 345(1). 69–86. 89 indexed citations
17.
Kempermann, Gerd, Klaus Fabel, Dan Ehninger, et al.. (2010). Why and How Physical Activity Promotes Experience-Induced Brain Plasticity. Frontiers in Neuroscience. 4. 189–189. 241 indexed citations
18.
Ehninger, Dan & Alcino J. Silva. (2009). Genetics and neuropsychiatric disorders: Treatment during adulthood. Nature Medicine. 15(8). 849–850. 17 indexed citations
19.
Ehninger, Dan, Sangyeul Han, Carrie Shilyansky, et al.. (2008). Reversal of learning deficits in a Tsc2+/− mouse model of tuberous sclerosis. Nature Medicine. 14(8). 843–848. 651 indexed citations breakdown →
20.
Zhou, Yu, Eiki Takahashi, Weidong Li, et al.. (2007). Interactions between the NR2B Receptor and CaMKII Modulate Synaptic Plasticity and Spatial Learning. Journal of Neuroscience. 27(50). 13843–13853. 144 indexed citations

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.

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