Stacy A. Hussong
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms 4
- Neurology top 5%
- Neurological Disease Mechanisms and Treatments 5
- Neuroinflammation and Neurodegeneration Mechanisms 4
- Biological Psychiatry top 10%
- Physiology top 5%
- Alzheimer's disease research and treatments 6
- Ophthalmology top 5%
- Retinal Diseases and Treatments 3
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- Mitochondrial Function and Pathology 4
- Ubiquitin and proteasome pathways 4
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- interferon and immune responses 3
- Co-authors
- Verónica GalvánDeborah A. FerringtonMatthew J. HartJonathan J. HalloranRaquel R BurbankCandice E. Van SkikeRebecca J. KapphahnArlan Richardson
- Cited by
- AgingNeurologyBiological Psychiatry
- Journals
- Journal of Neurochemistry (4 papers)Journal of Cerebral Blood Flow & Metabolism (3 papers)GeroScience (2 papers)
- Partner nations
- United StatesRussiaItaly
In The Last Decade
Stacy A. Hussong
22 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 84
- Aging 167
- Neurology 225
- Biological Psychiatry 38
- Physiology 368
- Ophthalmology 89
Countries citing papers authored by Stacy A. Hussong
This map shows the geographic impact of Stacy A. Hussong'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 Stacy A. Hussong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stacy A. Hussong more than expected).
Fields of papers citing papers by Stacy A. Hussong
This network shows the impact of papers produced by Stacy A. Hussong. 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 Stacy A. Hussong. The network helps show where Stacy A. Hussong may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Stacy A. Hussong, 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 | 0 | |
| 2 | 2023 | 13 | |
| 3 | 2023 | 37 | |
| 4 | 2023 | 4 | |
| 5 | 2021 | 41 | |
| 6 | 2020 | 1 | |
| 7 | 2019 | 62 | |
| 8 | 2019 | 1 | |
| 9 | 2017 | 111 | |
| 10 | 2017 | 35 | |
| 11 | 2015 | 16 | |
| 12 | 2014 | 22 | |
| 13 | A new mouse model to study compensatory mechanisms that support normal motor function in Parkinson's disease. | 2014 | 1 |
| 14 | 2013 | 28 | |
| 15 | 2013 | 170 | |
| 16 | 2012 | 168 | |
| 17 | 2012 | 74 | |
| 18 | 2010 | 81 | |
| 19 | 2010 | 30 | |
| 20 | 2007 | 69 |
About Stacy A. Hussong
Stacy A. Hussong is a scholar working on Aging, Neurology and Ophthalmology, having authored 23 papers that have together received 1.0k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (6 papers), Neurological Disease Mechanisms and Treatments (5 papers), Mitochondrial Function and Pathology (4 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Ubiquitin and proteasome pathways (4 papers), interferon and immune responses (3 papers) and Retinal Diseases and Treatments (3 papers). The work is most often cited by research in Aging (167 citations), Neurology (225 citations) and Biological Psychiatry (38 citations). Stacy A. Hussong has collaborated with scholars based in United States, Russia and Italy. Frequent co-authors include Verónica Galván, Deborah A. Ferrington, Matthew J. Hart, Jonathan J. Halloran, Raquel R Burbank, Candice E. Van Skike, Rebecca J. Kapphahn, Arlan Richardson, Randy Strong and Natalia Podlutskaya. Their work appears in journals such as Journal of Neurochemistry, Journal of Cerebral Blood Flow & Metabolism, GeroScience, Innovation in Aging and Journal of Neuroscience.
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.