Caroline H. Williams‐Gray
- Neurology top 0.05%
- Cognitive Neuroscience top 0.5%
- Physiology top 0.5%
- Psychiatry and Mental health top 0.5%
- Cellular and Molecular Neuroscience top 1%
- Co-authors
- Roger A. BarkerThomas FoltynieTrevor W. RobbinsCarol BrayneDavid J. BurnJonathan EvansSarah MasonDaniel Weintraub
- Topics
- Parkinson's Disease Mechanisms and Treatments (88 papers)Neurological disorders and treatments (32 papers)Neuroinflammation and Neurodegeneration Mechanisms (20 papers)
- Partner nations
- United KingdomAustraliaUnited States
In The Last Decade
Caroline H. Williams‐Gray
109 papers receiving 10.0k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Neurology 7.4k
- Cognitive Neuroscience 2.4k
- Physiology 2.1k
- Psychiatry and Mental health 2.0k
- Cellular and Molecular Neuroscience 1.8k
Countries citing papers authored by Caroline H. Williams‐Gray
This map shows the geographic impact of Caroline H. Williams‐Gray'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 Caroline H. Williams‐Gray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caroline H. Williams‐Gray more than expected).
Fields of papers citing papers by Caroline H. Williams‐Gray
This network shows the impact of papers produced by Caroline H. Williams‐Gray. 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 Caroline H. Williams‐Gray. The network helps show where Caroline H. Williams‐Gray may publish in the future.
Co-authorship network of co-authors of Caroline H. Williams‐Gray
This figure shows the co-authorship network connecting the top 25 collaborators of Caroline H. Williams‐Gray. A scholar is included among the top collaborators of Caroline H. Williams‐Gray based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Caroline H. Williams‐Gray. Caroline H. Williams‐Gray is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 41 | |
| 4 | The pathogenesis of Parkinson's diseasebreakdown → | 419 |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 7 | |
| 8 | 121 | |
| 9 | 59 | |
| 10 | 21 | |
| 11 | 14 | |
| 12 | 1 | |
| 13 | 11 | |
| 14 | 47 | |
| 15 | 8 | |
| 16 | 38 | |
| 17 | The CamPaIGN study of Parkinson's disease: 10-year outlook in an incident population-based cohortbreakdown → | 469 |
| 18 | 33 | |
| 19 | 224 | |
| 20 | 99 |
About Caroline H. Williams‐Gray
Caroline H. Williams‐Gray is a scholar working on Neurology, Neurology and Cellular and Molecular Neuroscience, having authored 113 papers that have together received 10.2k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (88 papers), Neurological disorders and treatments (32 papers) and Neuroinflammation and Neurodegeneration Mechanisms (20 papers). The work is most often cited by research in Neurology (7.4k citations), Neurology (1.6k citations) and Psychiatry and Mental health (2.0k citations). Caroline H. Williams‐Gray has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Roger A. Barker, Thomas Foltynie, Trevor W. Robbins, Carol Brayne, David J. Burn, Jonathan Evans, Sarah Mason, Daniel Weintraub, Jaime Kulisevsky and Dag Aarsland. Their work appears in journals such as The Lancet, Nature Communications 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.