Steve Crow
Impact in
- Cellular and Molecular Neuroscience top 0.5%
- Genetic Neurodegenerative Diseases
- Molecular Biology top 10%
- Muscle Physiology and Disorders
- RNA Research and Splicing
- DNA and Nucleic Acid Chemistry
- Ion channel regulation and function
Papers in
-
- Genetic Neurodegenerative Diseases 8
- Genetics 1
- Genetic Syndromes and Imprinting 1
- Co-authors
- Shelley A. Rundle (7 shared papers)John David Brook (7 shared papers)Helen G. Harley (7 shared papers)William Reardon (3 shared papers)J Myring (2 shared papers)Duncan J. Shaw (6 shared papers)John MacMillan (1 shared paper)P S Harper (1 shared paper)
- Journals
- Journal of Medical Genetics (2 papers)The Lancet (1 paper)Genomics (1 paper)Cell (1 paper)Human Molecular Genetics (1 paper)
- Partner nations
- United KingdomUnited States
In The Last Decade
Steve Crow
8 papers receiving 2.9k citations
Steve Crow's Hit Papers
Peers
Comparison fields: 5 of 86
- Cellular and Molecular Neuroscience 2k
- Molecular Biology 740
- Genetics 320
- Genetics 48
- Neurology 73
Countries citing papers authored by Steve Crow
This map shows the geographic impact of Steve Crow'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 Steve Crow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steve Crow more than expected).
Fields of papers citing papers by Steve Crow
This network shows the impact of papers produced by Steve Crow. 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 Steve Crow. The network helps show where Steve Crow may publish in the future.
Co-authors
The 18 scholars most cited alongside Steve Crow, 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 | Molecular basis of myotonic dystrophy: Expansion of a trinucleotide (CTG) repeat at the 3′ end of a transcript encoding a protein kinase family member Hit paper breakdown → | 1992 | 2366 |
| 2 | Size of the unstable CTG repeat sequence in relation to phenotype and parental transmission in myotonic dystrophy. | 1993 | 327 |
| 3 | 1992 | 169 | |
| 4 | Detection of linkage disequilibrium between the myotonic dystrophy locus and a new polymorphic DNA marker. | 1991 | 81 |
| 5 | 1993 | 33 | |
| 6 | 1992 | 26 | |
| 7 | 1992 | 17 | |
| 8 | 1992 | 8 |
About Steve Crow
Steve Crow is a scholar working on Cellular and Molecular Neuroscience, Genetics, Molecular Biology, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 8 papers that have together received 3k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (8 papers), Epigenetics and DNA Methylation (1 paper) and Genetic Syndromes and Imprinting (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (2k citations), Molecular Biology (740 citations), Genetics (320 citations), Genetics (48 citations) and Neurology (73 citations). Steve Crow has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Shelley A. Rundle, John David Brook, Helen G. Harley, William Reardon, J Myring, Duncan J. Shaw, John MacMillan, P S Harper, Iain Fenton and Peter S. Harper. Their work appears in journals such as Journal of Medical Genetics, The Lancet, Genomics, Cell and Human Molecular Genetics.
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.