D J Shaw
Impact in
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- Genetic Neurodegenerative Diseases
- Neurology top 5%
- Parkinson's Disease Mechanisms and Treatments
Papers in
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- Mitochondrial Function and Pathology 5
- Ubiquitin and proteasome pathways 2
- CRISPR and Genetic Engineering 2
- DNA Repair Mechanisms 1
- Glycosylation and Glycoproteins Research 1
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- Genetic Neurodegenerative Diseases 6
- Co-authors
- J. David Brook (4 shared papers)William Reardon (3 shared papers)S.A. Rundle (2 shared papers)David E. Housman (1 shared paper)Alan Buckler (1 shared paper)Peter S. Harper (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)Neuromuscular Disorders (1 paper)British Journal of Ophthalmology (1 paper)Nature (1 paper)
- Partner nations
- United KingdomUnited StatesSweden
In The Last Decade
D J Shaw
12 papers receiving 696 citations
D J Shaw's Hit Papers
Peers
Comparison fields: 5 of 60
- Cellular and Molecular Neuroscience 548
- Neurology 195
- Molecular Biology 506
- Genetics 127
- Genetics 30
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 | 589 |
| 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 719 indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (6 papers), Mitochondrial Function and Pathology (5 papers), Ubiquitin and proteasome pathways (2 papers), CRISPR and Genetic Engineering (2 papers), Hypothalamic control of reproductive hormones (1 paper), DNA Repair Mechanisms (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (548 citations), Neurology (195 citations), Molecular Biology (506 citations), Genetics (127 citations) and Genetics (30 citations). D J Shaw has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include J. David Brook, William Reardon, S.A. Rundle, David E. Housman, Alan Buckler, Peter S. Harper, 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, Neuromuscular Disorders, British Journal of Ophthalmology and Nature.
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.