Charlotte Appleton
Impact in
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- Aging and Gerontology Research
- Psychiatry and Mental health top 10%
- Dementia and Cognitive Impairment Research
Papers in
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- Viral gastroenteritis research and epidemiology 3
- SARS-CoV-2 and COVID-19 Research 2
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- Data-Driven Disease Surveillance 3
- Co-authors
- John M. Starr (1 shared paper)Ian J. Deary (1 shared paper)Lawrence J. Whalley (1 shared paper)Peter‐John M. Noble (3 shared papers)Alan Radford (5 shared papers)Goran Nenadić (2 shared papers)Chris Jewell (3 shared papers)Carmen Tamayo (2 shared papers)
- Journals
- Emerging infectious diseases (2 papers)Scientific Reports (1 paper)Veterinary Record (1 paper)Ageing Research Reviews (1 paper)PLoS ONE (1 paper)
- Partner nations
- United KingdomUnited States
In The Last Decade
Charlotte Appleton
6 papers receiving 371 citations
Peers
Comparison fields: 5 of 79
- Neuropsychology and Physiological Psychology 20
- Psychiatry and Mental health 154
- Cognitive Neuroscience 108
- Neurology 36
- Geriatrics and Gerontology 17
Countries citing papers authored by Charlotte Appleton
This map shows the geographic impact of Charlotte Appleton'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 Charlotte Appleton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charlotte Appleton more than expected).
Fields of papers citing papers by Charlotte Appleton
This network shows the impact of papers produced by Charlotte Appleton. 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 Charlotte Appleton. The network helps show where Charlotte Appleton may publish in the future.
Co-authors
The 25 scholars most cited alongside Charlotte Appleton, 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 | 2004 | 327 | |
| 2 | 2021 | 25 | |
| 3 | 2021 | 16 | |
| 4 | 2023 | 5 | |
| 5 | 2021 | 4 | |
| 6 | Using topic modelling for unsupervised annotation of electronic health records to identify an outbreak of disease in UK dogs | 2021 | 1 |
| 7 | 2024 | 1 |
About Charlotte Appleton
Charlotte Appleton is a scholar working on Infectious Diseases, Epidemiology, Genetics, Molecular Biology and Cellular and Molecular Neuroscience, having authored 7 papers that have together received 379 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (3 papers), Data-Driven Disease Surveillance (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Virus-based gene therapy research (2 papers), Alzheimer's disease research and treatments (1 paper), Animal Disease Management and Epidemiology (1 paper), Neuroinflammation and Neurodegeneration Mechanisms (1 paper) and Neuroscience and Neuropharmacology Research (1 paper). The work is most often cited by research in Neuropsychology and Physiological Psychology (20 citations), Psychiatry and Mental health (154 citations), Cognitive Neuroscience (108 citations), Neurology (36 citations) and Geriatrics and Gerontology (17 citations). Charlotte Appleton has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include John M. Starr, Ian J. Deary, Lawrence J. Whalley, Peter‐John M. Noble, Alan Radford, Goran Nenadić, Chris Jewell, Carmen Tamayo, Barry Rowlingson and David A. Singleton. Their work appears in journals such as Emerging infectious diseases, Scientific Reports, Veterinary Record, Ageing Research Reviews and PLoS ONE.
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.