Chad A. Dickey
- Neurology top 0.05%
- Neuroinflammation and Neurodegeneration Mechanisms 12
- Biological Psychiatry top 0.2%
- Physiology top 0.05%
- Alzheimer's disease research and treatments 46
- Aging top 0.5%
- Cellular and Molecular Neuroscience top 0.2%
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- Heat shock proteins research 45
- Protein Structure and Dynamics 16
- Signaling Pathways in Disease 11
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- Endoplasmic Reticulum Stress and Disease 32
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- Computational Drug Discovery Methods 13
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- Cholinesterase and Neurodegenerative Diseases 9
- Co-authors
- Marcia N. GordonDave MorganDaniel C. LeeMaj-Linda B. SelenicaMilene L. BrownlowGabriela PeñaJeffy P. JimenezLaura J. Blair
- Partner nations
- United StatesGermanyIndia
In The Last Decade
Chad A. Dickey
118 papers receiving 17.6k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Neurology 3.7k
- Biological Psychiatry 1.1k
- Physiology 10.1k
- Aging 345
- Cellular and Molecular Neuroscience 3.5k
Countries citing papers authored by Chad A. Dickey
This map shows the geographic impact of Chad A. Dickey'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 Chad A. Dickey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chad A. Dickey more than expected).
Fields of papers citing papers by Chad A. Dickey
This network shows the impact of papers produced by Chad A. Dickey. 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 Chad A. Dickey. The network helps show where Chad A. Dickey may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chad A. Dickey, 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 | 2021 | 12 | |
| 2 | 2020 | 27 | |
| 3 | 2017 | 48 | |
| 4 | 2016 | 61 | |
| 5 | 2015 | 38 | |
| 6 | 2015 | 49 | |
| 7 | 2014 | 241 | |
| 8 | 2014 | 83 | |
| 9 | 2013 | 206 | |
| 10 | 2013 | 104 | |
| 11 | 2012 | 41 | |
| 12 | 2012 | 45 | |
| 13 | 2011 | 29 | |
| 14 | 2010 | 31 | |
| 15 | 2010 | 59 | |
| 16 | 2008 | 174 | |
| 17 | 2006 | 33 | |
| 18 | 2004 | 18 | |
| 19 | 2003 | 35 | |
| 20 | 2003 | 77 |
About Chad A. Dickey
Chad A. Dickey is a scholar working on Aging, Biological Psychiatry and Cell Biology, having authored 119 papers that have together received 17.9k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (46 papers), Heat shock proteins research (45 papers), Endoplasmic Reticulum Stress and Disease (32 papers), Protein Structure and Dynamics (16 papers), Computational Drug Discovery Methods (13 papers), Neuroinflammation and Neurodegeneration Mechanisms (12 papers), Signaling Pathways in Disease (11 papers) and Cholinesterase and Neurodegenerative Diseases (9 papers). The work is most often cited by research in Neurology (3.7k citations), Biological Psychiatry (1.1k citations) and Physiology (10.1k citations). Chad A. Dickey has collaborated with scholars based in United States, Germany and India. Frequent co-authors include Marcia N. Gordon, Dave Morgan, Daniel C. Lee, Maj-Linda B. Selenica, Milene L. Brownlow, Gabriela Peña, Jeffy P. Jimenez, Laura J. Blair, Umesh K. Jinwal and Jason E. Gestwicki. Their work appears in journals such as Nature, Cell 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.