Aaron Daub
Impact in
- Neurology top 5%
- Amyotrophic Lateral Sclerosis Research
- Parkinson's Disease Mechanisms and Treatments
- Physiology top 5%
- Alzheimer's disease research and treatments
Papers in
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- Genetic Neurodegenerative Diseases 4
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- Mitochondrial Function and Pathology 2
- Ubiquitin and proteasome pathways 1
- Co-authors
- Steven Finkbeiner (9 shared papers)Punita Sharma (3 shared papers)Lennart Mucke (1 shared paper)Kai Zhang (1 shared paper)Bianxiao Cui (1 shared paper)Keith Vossel (1 shared paper)Jens Brodbeck (1 shared paper)D. Michael Ando (3 shared papers)
- Journals
- Nature Communications (2 papers)Nature Chemical Biology (1 paper)Methods in enzymology on CD-ROM/Methods in enzymology (1 paper)Journal of Clinical Investigation (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Aaron Daub
9 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 77
- Neurology 309
- Physiology 384
- Cellular and Molecular Neuroscience 285
- Neurology 112
- Biological Psychiatry 28
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 | 399 | |
| 2 | 2014 | 344 | |
| 3 | 2016 | 100 | |
| 4 | 2018 | 56 | |
| 5 | 2009 | 40 | |
| 6 | 2016 | 37 | |
| 7 | 2012 | 33 | |
| 8 | 2015 | 17 | |
| 9 | 2020 | 4 |
About Aaron Daub
Aaron Daub is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Neurology, Epidemiology and Biophysics, having authored 9 papers that have together received 1.0k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (4 papers), Mitochondrial Function and Pathology (2 papers), Advanced Fluorescence Microscopy Techniques (2 papers), Autophagy in Disease and Therapy (2 papers), Cell Image Analysis Techniques (2 papers), Alzheimer's disease research and treatments (1 paper), Ubiquitin and proteasome pathways (1 paper) and Amyotrophic Lateral Sclerosis Research (1 paper). The work is most often cited by research in Neurology (309 citations), Physiology (384 citations), Cellular and Molecular Neuroscience (285 citations), Neurology (112 citations) and Biological Psychiatry (28 citations). Aaron Daub has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Steven Finkbeiner, Punita Sharma, Lennart Mucke, Kai Zhang, Bianxiao Cui, Keith Vossel, Jens Brodbeck, D. Michael Ando, Andrey S. Tsvetkov and Michael A. Pleiss. Their work appears in journals such as Nature Communications, Nature Chemical Biology, Methods in enzymology on CD-ROM/Methods in enzymology, Journal of Clinical Investigation and Proceedings of the National Academy of Sciences.
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.