D J Shaw
Impact in
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- Genetic Neurodegenerative Diseases
- Neurology top 5%
- Parkinson's Disease Mechanisms and Treatments
- Neurological disorders and treatments
Papers in
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- Mitochondrial Function and Pathology 5
- CRISPR and Genetic Engineering 2
- Ubiquitin and proteasome pathways 2
-
- Genetic Neurodegenerative Diseases 6
- Co-authors
- J. David Brook (4 shared papers)S.A. Rundle (2 shared papers)William Reardon (3 shared papers)Alan Buckler (1 shared paper)Peter S. Harper (1 shared paper)David E. Housman (1 shared paper)H G Harley (6 shared papers)Peter S. Harper (8 shared papers)
- Journals
- Journal of Medical Genetics (5 papers)Human Genetics (2 papers)Nature (1 paper)British Journal of Ophthalmology (1 paper)Neuromuscular Disorders (1 paper)
- Partner nations
- United KingdomUnited StatesSweden
In The Last Decade
D J Shaw
12 papers receiving 694 citations
Hit Papers
Peers
Comparison fields: 5 of 65
- Cellular and Molecular Neuroscience 551
- Neurology 246
- Molecular Biology 547
- Genetics 131
- Genetics 33
Countries citing papers authored by D J Shaw
This map shows the geographic impact of D 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 D 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 D J Shaw more than expected).
Fields of papers citing papers by D J Shaw
This network shows the impact of papers produced by D 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 D J Shaw. The network helps show where D J Shaw may publish in the future.
Co-authors
The 25 scholars most cited alongside D J Shaw, 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 | Expansion of an unstable DNA region and phenotypic variation in myotonic dystrophy Hit paper breakdown → | 1992 | 587 |
| 2 | 1989 | 22 | |
| 3 | 1986 | 21 | |
| 4 | 1986 | 19 | |
| 5 | 1992 | 14 | |
| 6 | 1993 | 13 | |
| 7 | 1984 | 12 | |
| 8 | 1986 | 11 | |
| 9 | 1985 | 8 | |
| 10 | 1986 | 5 | |
| 11 | 1988 | 4 | |
| 12 | 1992 | 1 |
About D J Shaw
D J Shaw is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Genetics, Neurology and Surgery, having authored 12 papers that have together received 717 indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (6 papers), Mitochondrial Function and Pathology (5 papers), CRISPR and Genetic Engineering (2 papers), Ubiquitin and proteasome pathways (2 papers), Metabolism and Genetic Disorders (1 paper), Cancer Genomics and Diagnostics (1 paper), Genetic Associations and Epidemiology (1 paper) and Hypothalamic control of reproductive hormones (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (551 citations), Neurology (246 citations), Molecular Biology (547 citations), Genetics (131 citations) and Genetics (33 citations). D J Shaw has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include J. David Brook, S.A. Rundle, William Reardon, Alan Buckler, Peter S. Harper, David E. Housman, H G Harley, Peter S. Harper, Andrea L. Meredith and M. Sarfarazi. Their work appears in journals such as Journal of Medical Genetics, Human Genetics, Nature, British Journal of Ophthalmology and Neuromuscular Disorders.
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.