Danielle N. Lyons
Impact in
- Physiology top 10%
- Alzheimer's disease research and treatments
- Pain Mechanisms and Treatments
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- Neuroinflammation and Neurodegeneration Mechanisms
- Traumatic Brain Injury and Neurovascular Disturbances
Papers in
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- Pain Mechanisms and Treatments 4
- Alzheimer's disease research and treatments 4
- Obstructive Sleep Apnea Research 1
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- Neuroscience and Neuropharmacology Research 2
- Co-authors
- Liping Zhang (4 shared papers)Karin N. Westlund (4 shared papers)Shelby E. Meier (4 shared papers)Alexandria Ingram (4 shared papers)Jose Francisco Abisambra (4 shared papers)Jing Chen (2 shared papers)Haining Zhu (2 shared papers)Fei Ma (1 shared paper)
- Journals
- Neuroscience (2 papers)Clinical Journal of Pain (2 papers)Journal of Alzheimer s Disease (1 paper)Neurobiology of Aging (1 paper)Journal of Neuroscience (1 paper)
- Partner nations
- United StatesItaly
In The Last Decade
Danielle N. Lyons
12 papers receiving 424 citations
Peers
Comparison fields: 5 of 63
- Physiology 216
- Neurology 48
- Cellular and Molecular Neuroscience 105
- Neurology 73
- Aging 7
Countries citing papers authored by Danielle N. Lyons
This map shows the geographic impact of Danielle N. Lyons'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 Danielle N. Lyons with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle N. Lyons more than expected).
Fields of papers citing papers by Danielle N. Lyons
This network shows the impact of papers produced by Danielle N. Lyons. 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 Danielle N. Lyons. The network helps show where Danielle N. Lyons may publish in the future.
Co-authors
The 25 scholars most cited alongside Danielle N. Lyons, 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 | 2016 | 136 | |
| 2 | 2015 | 62 | |
| 3 | 2012 | 61 | |
| 4 | 2018 | 41 | |
| 5 | 2018 | 30 | |
| 6 | 2015 | 29 | |
| 7 | 2017 | 24 | |
| 8 | 2017 | 19 | |
| 9 | 2017 | 17 | |
| 10 | 2016 | 6 | |
| 11 | 2015 | 2 | |
| 12 | ATTENUATING TRIGEMINAL NEUROPATHIC PAIN BY REPURPOSING PIOGLITAZONE AND D-CYCLOSERINE IN THE NOVEL TRIGEMINAL INFLAMMATORY COMPRESSION MOUSE MODEL | 2014 | 1 |
About Danielle N. Lyons
Danielle N. Lyons is a scholar working on Physiology, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Neurology and Cell Biology, having authored 12 papers that have together received 428 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (4 papers), Alzheimer's disease research and treatments (4 papers), Neuroscience and Neuropharmacology Research (2 papers), Behavioral and Psychological Studies (1 paper), Obstructive Sleep Apnea Research (1 paper), Parkinson's Disease Mechanisms and Treatments (1 paper), Obsessive-Compulsive Spectrum Disorders (1 paper) and Autism Spectrum Disorder Research (1 paper). The work is most often cited by research in Physiology (216 citations), Neurology (48 citations), Cellular and Molecular Neuroscience (105 citations), Neurology (73 citations) and Aging (7 citations). Danielle N. Lyons has collaborated with scholars based in United States and Italy. Frequent co-authors include Liping Zhang, Karin N. Westlund, Shelby E. Meier, Alexandria Ingram, Jose Francisco Abisambra, Jing Chen, Haining Zhu, Fei Ma, Sarah N. Fontaine and Harry LeVine. Their work appears in journals such as Neuroscience, Clinical Journal of Pain, Journal of Alzheimer s Disease, Neurobiology of 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.