Elizabeth Slow
- Cellular and Molecular Neuroscience top 0.5%
- Molecular Biology top 5%
- Neurology top 1%
- Physiology
- Cell Biology top 10%
- Co-authors
- Michael R. HaydenBlair R. LeavittRona K. GrahamJacqueline PearsonJeremy M. Van RaamsdonkGe LuZoe MurphyNagat Bissada
- Topics
- Genetic Neurodegenerative Diseases (19 papers)Neurological disorders and treatments (16 papers)Parkinson's Disease Mechanisms and Treatments (14 papers)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Elizabeth Slow
33 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Cellular and Molecular Neuroscience 2.3k
- Molecular Biology 2.1k
- Neurology 1.1k
- Physiology 183
- Cell Biology 175
Countries citing papers authored by Elizabeth Slow
This map shows the geographic impact of Elizabeth Slow'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 Elizabeth Slow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elizabeth Slow more than expected).
Fields of papers citing papers by Elizabeth Slow
This network shows the impact of papers produced by Elizabeth Slow. 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 Elizabeth Slow. The network helps show where Elizabeth Slow may publish in the future.
Co-authorship network of co-authors of Elizabeth Slow
This figure shows the co-authorship network connecting the top 25 collaborators of Elizabeth Slow. A scholar is included among the top collaborators of Elizabeth Slow 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 Elizabeth Slow. Elizabeth Slow is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 8 | |
| 3 | 1 | |
| 4 | 8 | |
| 5 | 7 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 12 | |
| 9 | 4 | |
| 10 | 12 | |
| 11 | 98 | |
| 12 | 91 | |
| 13 | 44 | |
| 14 | Cleavage at the Caspase-6 Site Is Required for Neuronal Dysfunction and Degeneration Due to Mutant Huntingtinbreakdown → | 505 |
| 15 | 30 | |
| 16 | 139 | |
| 17 | 69 | |
| 18 | 252 | |
| 19 | Selective striatal neuronal loss in a YAC128 mouse model of Huntington diseasebreakdown → | 640 |
| 20 | 1 |
About Elizabeth Slow
Elizabeth Slow is a scholar working on Neurology, Cellular and Molecular Neuroscience and Sensory Systems, having authored 35 papers that have together received 2.9k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (19 papers), Neurological disorders and treatments (16 papers) and Parkinson's Disease Mechanisms and Treatments (14 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.3k citations), Neurology (1.1k citations) and Biological Psychiatry (101 citations). Elizabeth Slow has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Michael R. Hayden, Blair R. Leavitt, Rona K. Graham, Jacqueline Pearson, Jeremy M. Van Raamsdonk, Ge Lu, Zoe Murphy, Nagat Bissada, Ilya Bezprozvanny and Yu Deng. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences 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.