Danielle N. Lyons

537 citations
12 papers · 398 · h-index 9

Impact in

  • Physiology top 10%
    • Alzheimer's disease research and treatments
    • Pain Mechanisms and Treatments
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Traumatic Brain Injury and Neurovascular Disturbances

Papers in

Danielle N. Lyons

12 papers receiving 394 citations

Peers

Danielle N. Lyons
Comparison fields: 5 of 65
  • Physiology 232
  • Neurology 54
  • Cellular and Molecular Neuroscience 118
  • Neurology 81
  • Biological Psychiatry 11
Replace Shi-Jie Liu with:
Shi-Jie Liu United States
Francesca Natale Italy
Gorka Gereñu Spain
Thomas Lorivel France
Celica Cosme United States
Megumi Asada‐Utsugi Japan
Laëtitia Troquier France
Bolati Kuerban Japan
Changjun Su China
Vanessa D. Smith United States
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Citations per field
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Citations per year

Countries citing papers authored by Danielle N. Lyons

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Danielle N. Lyons Line = papers co-authored together Danielle N. Lyons links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2016128
2 201259
3 201555
4 201839
5 201529
6 201826
7 201722
8 201718
9 201716
10 20163
11 20152
12
ATTENUATING TRIGEMINAL NEUROPATHIC PAIN BY REPURPOSING PIOGLITAZONE AND D-CYCLOSERINE IN THE NOVEL TRIGEMINAL INFLAMMATORY COMPRESSION MOUSE MODEL
20141

About Danielle N. Lyons

Danielle N. Lyons is a scholar working on Physiology, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Neurology and Radiology, Nuclear Medicine and Imaging, having authored 12 papers that have together received 398 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (5 papers), Alzheimer's disease research and treatments (4 papers), Neuropeptides and Animal Physiology (3 papers), Neuroscience and Neuropharmacology Research (2 papers), Behavioral and Psychological Studies (1 paper), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (1 paper), Pharmacological Receptor Mechanisms and Effects (1 paper) and Neuroinflammation and Neurodegeneration Mechanisms (1 paper). The work is most often cited by research in Physiology (232 citations), Neurology (54 citations), Cellular and Molecular Neuroscience (118 citations), Neurology (81 citations) and Biological Psychiatry (11 citations). Danielle N. Lyons has collaborated with scholars based in United States and Italy. Frequent co-authors include Karin N. Westlund, Liping Zhang, Jose F. Abisambra, Shelby E. Meier, Jing Chen, Haining Zhu, Fei Ma, Sarah N. Fontaine, Jennifer Rodriguez-Rivera and Harry LeVine. Their work appears in journals such as Clinical Journal of Pain, Neuroscience, Journal of Alzheimer s Disease, Alzheimer s & Dementia 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.

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