Aaron Daub
Impact in
- Neurology top 5%
- Amyotrophic Lateral Sclerosis Research
- Parkinson's Disease Mechanisms and Treatments
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- Neuroscience and Neuropharmacology Research
- Genetic Neurodegenerative Diseases
Papers in ⓘ
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- Cell Image Analysis Techniques 2
- Advanced Fluorescence Microscopy Techniques 2
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- Genetic Neurodegenerative Diseases 4
- Co-authors
- Steven Finkbeiner (9 shared papers)Punita Sharma (3 shared papers)Keith Vossel (1 shared paper)Bianxiao Cui (1 shared paper)Lennart Mucke (1 shared paper)Jens Brodbeck (1 shared paper)Kai Zhang (1 shared paper)D. Michael Ando (3 shared papers)
- Journals
- Nature Communications (2 papers)The American Journal of Human Genetics (1 paper)Science (1 paper)Journal of Clinical Investigation (1 paper)Nature Chemical Biology (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Aaron Daub
9 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 77
- Neurology 313
- Cellular and Molecular Neuroscience 296
- Physiology 396
- Neurology 119
- Biological Psychiatry 31
Countries citing papers authored by Aaron Daub
This map shows the geographic impact of Aaron Daub'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 Aaron Daub with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aaron Daub more than expected).
Fields of papers citing papers by Aaron Daub
This network shows the impact of papers produced by Aaron Daub. 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 Aaron Daub. The network helps show where Aaron Daub may publish in the future.
Co-authors
The 25 scholars most cited alongside Aaron Daub, 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 | 2010 | 400 | |
| 2 | Autophagy induction enhances TDP43 turnover and survival in neuronal ALS models Hit paper breakdown → | 2014 | 341 |
| 3 | 2016 | 99 | |
| 4 | 2018 | 54 | |
| 5 | 2009 | 40 | |
| 6 | 2016 | 37 | |
| 7 | 2012 | 31 | |
| 8 | 2015 | 17 | |
| 9 | 2020 | 4 |
About Aaron Daub
Aaron Daub is a scholar working on Biophysics, Cellular and Molecular Neuroscience, Neurology, Biotechnology and Computational Theory and Mathematics, having authored 9 papers that have together received 1.0k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (4 papers), Cell Image Analysis Techniques (2 papers), Advanced Fluorescence Microscopy Techniques (2 papers), Mitochondrial Function and Pathology (2 papers), Autophagy in Disease and Therapy (2 papers), Advanced Neuroimaging Techniques and Applications (1 paper), Alzheimer's disease research and treatments (1 paper) and Computational Drug Discovery Methods (1 paper). The work is most often cited by research in Neurology (313 citations), Cellular and Molecular Neuroscience (296 citations), Physiology (396 citations), Neurology (119 citations) and Biological Psychiatry (31 citations). Aaron Daub has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Steven Finkbeiner, Punita Sharma, Keith Vossel, Bianxiao Cui, Lennart Mucke, Jens Brodbeck, Kai Zhang, D. Michael Ando, Siddharthan Chandran and Sami J. Barmada. Their work appears in journals such as Nature Communications, The American Journal of Human Genetics, Science, Journal of Clinical Investigation and Nature Chemical Biology.
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.