Pamela J. Shaw
- Neurology top 0.01%
- Molecular Biology top 0.5%
- Genetics top 0.02%
- Cellular and Molecular Neuroscience top 0.1%
- Neurology top 0.05%
- Co-authors
- Paul G. InceJanine KirbyPaul R. HeathSiân C. BarberChristopher McDermottStephen B. WhartonLaura FerraiuoloAndrew J. Grierson
- Topics
- Amyotrophic Lateral Sclerosis Research (303 papers)Neurogenetic and Muscular Disorders Research (166 papers)Parkinson's Disease Mechanisms and Treatments (90 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Pamela J. Shaw
481 papers receiving 28.8k citations
Hit Papers
Peers
Comparison fields: 5 of 179
- Neurology 16.6k
- Molecular Biology 9.8k
- Genetics 8.9k
- Cellular and Molecular Neuroscience 5.2k
- Neurology 5.1k
Countries citing papers authored by Pamela J. Shaw
This map shows the geographic impact of Pamela J. Shaw'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 Pamela J. Shaw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pamela J. Shaw more than expected).
Fields of papers citing papers by Pamela J. Shaw
This network shows the impact of papers produced by Pamela J. Shaw. 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 Pamela J. Shaw. The network helps show where Pamela J. Shaw may publish in the future.
Co-authorship network of co-authors of Pamela J. Shaw
This figure shows the co-authorship network connecting the top 25 collaborators of Pamela J. Shaw. A scholar is included among the top collaborators of Pamela J. Shaw 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 Pamela J. Shaw. Pamela J. Shaw is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 24 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 15 | |
| 6 | Amyotrophic lateral sclerosis: a neurodegenerative disorder poised for successful therapeutic translationbreakdown → | 248 |
| 7 | 2 | |
| 8 | 6 | |
| 9 | 32 | |
| 10 | 16 | |
| 11 | 84 | |
| 12 | 11 | |
| 13 | 15 | |
| 14 | 6 | |
| 15 | 15 | |
| 16 | 29 | |
| 17 | The C9orf72 protein interacts with Rab1a and the | 301 |
| 18 | 1 | |
| 19 | 55 | |
| 20 | Molecular biology of colon cancer (review). | 7 |
About Pamela J. Shaw
Pamela J. Shaw is a scholar working on Neurology, Genetics and Neurology, having authored 486 papers that have together received 29.4k indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (303 papers), Neurogenetic and Muscular Disorders Research (166 papers) and Parkinson's Disease Mechanisms and Treatments (90 papers). The work is most often cited by research in Neurology (16.6k citations), Genetics (8.9k citations) and Neurology (5.1k citations). Pamela J. Shaw has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Paul G. Ince, Janine Kirby, Paul R. Heath, Siân C. Barber, Christopher McDermott, Stephen B. Wharton, Laura Ferraiuolo, Andrew J. Grierson, Richard J. Mead and Timothy L. Williams. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet and Journal of Biological Chemistry.
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.