Anna Charlton

642 citations
10 papers · 438 · h-index 9

Impact in

  • Neurology top 5%
    • Intracerebral and Subarachnoid Hemorrhage Research
    • Cerebrovascular and genetic disorders
    • Neurological Disease Mechanisms and Treatments
    • Dementia and Cognitive Impairment Research

Papers in

Anna Charlton

10 papers receiving 436 citations

Peers

Anna Charlton
Comparison fields: 5 of 60
  • Neurology 202
  • Psychiatry and Mental health 187
  • Neurology 67
  • Physiology 144
  • Cognitive Neuroscience 69
Replace J. E. Jääskeläinen with:
J. E. Jääskeläinen Finland
Dorothée Schoemaker United States
Kirsty Harkness United Kingdom
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Jingyun Yang United States
Terri Edwards-Lee United States
Renata Teles Vieira Brazil
Matthew A Rouse United Kingdom
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Anna Charlton relative to J. E. Jääskeläinen Finland J. E. Jääskeläinen's profile →
Citations per field
00.5×3.9×
J. E. Jääskeläinen · 1×
Citations per year

Countries citing papers authored by Anna Charlton

Since Specialization
Citations

This map shows the geographic impact of Anna Charlton'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 Anna Charlton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Charlton more than expected).

Fields of papers citing papers by Anna Charlton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna Charlton. 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 Anna Charlton. The network helps show where Anna Charlton may publish in the future.

Co-authors

The 25 scholars most cited alongside Anna Charlton, 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 Anna Charlton Line = papers co-authored together Anna Charlton links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2013106
2 201684
3 202052
4 202250
5 202040
6 201932
7 202127
8 201824
9 202022
10 20201

About Anna Charlton

Anna Charlton is a scholar working on Neurology, Psychiatry and Mental health, Physiology, Clinical Psychology and Cellular and Molecular Neuroscience, having authored 10 papers that have together received 438 indexed citations. Recurring topics across this work include Intracerebral and Subarachnoid Hemorrhage Research (7 papers), Dementia and Cognitive Impairment Research (6 papers), Alzheimer's disease research and treatments (3 papers), Advanced Neuroimaging Techniques and Applications (1 paper), Telemedicine and Telehealth Implementation (1 paper), Blood Pressure and Hypertension Studies (1 paper), Acute Ischemic Stroke Management (1 paper) and Obsessive-Compulsive Spectrum Disorders (1 paper). The work is most often cited by research in Neurology (202 citations), Psychiatry and Mental health (187 citations), Neurology (67 citations), Physiology (144 citations) and Cognitive Neuroscience (69 citations). Anna Charlton has collaborated with scholars based in Canada, United States and Netherlands. Frequent co-authors include Eric E. Smith, Cheryl R. McCreary, Angela Zwiers, Richard Frayne, Zahinoor Ismail, Bradley G. Goodyear, Andrew E. Beaudin, Gordon H. Fick, Karyn Fischer and Scott B. Patten. Their work appears in journals such as Neurology, Stroke, Alzheimer s & Dementia, Dementia and Journal of Autism and Developmental Disorders.

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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