Danielle Leighton
Impact in
- Neurology top 10%
- Amyotrophic Lateral Sclerosis Research
- Parkinson's Disease Mechanisms and Treatments
- Neurological diseases and metabolism
- Neuroinflammation and Neurodegeneration Mechanisms
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- Neurogenetic and Muscular Disorders Research
Papers in
- Co-authors
- Siddharthan Chandran (9 shared papers)Robert Swingler (5 shared papers)Judith Newton (5 shared papers)Suvankar Pal (8 shared papers)Jon Warner (3 shared papers)Elaine Cleary (3 shared papers)Shuna Colville (4 shared papers)George Gorrie (5 shared papers)
- Journals
- Journal of Neurology Neurosurgery & Psychiatry (2 papers)Journal of Palliative Care (1 paper)Neurobiology of Aging (1 paper)Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration (1 paper)Neurology (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Danielle Leighton
7 papers receiving 201 citations
Peers
Comparison fields: 5 of 39
- Neurology 154
- Genetics 55
- Neurology 41
- Cellular and Molecular Neuroscience 31
- Structural Biology 2
Countries citing papers authored by Danielle Leighton
This map shows the geographic impact of Danielle Leighton'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 Leighton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle Leighton more than expected).
Fields of papers citing papers by Danielle Leighton
This network shows the impact of papers produced by Danielle Leighton. 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 Leighton. The network helps show where Danielle Leighton may publish in the future.
Co-authors
The 25 scholars most cited alongside Danielle Leighton, 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 | 2017 | 90 | |
| 2 | 2019 | 49 | |
| 3 | 2016 | 34 | |
| 4 | 2019 | 18 | |
| 5 | 2019 | 7 | |
| 6 | 2024 | 4 | |
| 7 | 2019 | 2 | |
| 8 | 2016 | 0 | |
| 9 | 2019 | 0 | |
| 10 | 2024 | 0 |
About Danielle Leighton
Danielle Leighton is a scholar working on Neurology, Genetics, Neurology, Molecular Biology and Cellular and Molecular Neuroscience, having authored 10 papers that have together received 204 indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (10 papers), Neurogenetic and Muscular Disorders Research (4 papers), Neurological diseases and metabolism (3 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Alzheimer's disease research and treatments (1 paper), Pluripotent Stem Cells Research (1 paper), Palliative Care and End-of-Life Issues (1 paper) and Hereditary Neurological Disorders (1 paper). The work is most often cited by research in Neurology (154 citations), Genetics (55 citations), Neurology (41 citations), Cellular and Molecular Neuroscience (31 citations) and Structural Biology (2 citations). Danielle Leighton has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Siddharthan Chandran, Robert Swingler, Judith Newton, Suvankar Pal, Jon Warner, Elaine Cleary, Shuna Colville, George Gorrie, Laura Stephenson and Sharon Abrahams. Their work appears in journals such as Journal of Neurology Neurosurgery & Psychiatry, Journal of Palliative Care, Neurobiology of Aging, Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration and Neurology.
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.