Peggy Shelbourne
- Cellular and Molecular Neuroscience top 1%
- Molecular Biology top 5%
- Neurology top 2%
- Genetics
- Cell Biology
- Co-authors
- Shihua LiLi HeKeith JohnsonXiaojiang LiZhao-Xue YuDaniel V. MadisonRichard M. MyersXiao‐Jiang Li
- Topics
- Genetic Neurodegenerative Diseases (26 papers)Mitochondrial Function and Pathology (16 papers)Neurological disorders and treatments (9 papers)
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
Peggy Shelbourne
27 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 58
- Cellular and Molecular Neuroscience 1.6k
- Molecular Biology 1.5k
- Neurology 663
- Genetics 131
- Cell Biology 90
Countries citing papers authored by Peggy Shelbourne
This map shows the geographic impact of Peggy Shelbourne'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 Peggy Shelbourne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peggy Shelbourne more than expected).
Fields of papers citing papers by Peggy Shelbourne
This network shows the impact of papers produced by Peggy Shelbourne. 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 Peggy Shelbourne. The network helps show where Peggy Shelbourne may publish in the future.
Co-authorship network of co-authors of Peggy Shelbourne
This figure shows the co-authorship network connecting the top 25 collaborators of Peggy Shelbourne. A scholar is included among the top collaborators of Peggy Shelbourne 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 Peggy Shelbourne. Peggy Shelbourne is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 109 | |
| 2 | 37 | |
| 3 | 4 | |
| 4 | 17 | |
| 5 | 294 | |
| 6 | 239 | |
| 7 | 3 | |
| 8 | 198 | |
| 9 | 201 | |
| 10 | 7 | |
| 11 | 22 | |
| 12 | 1 | |
| 13 | 3 | |
| 14 | 58 | |
| 15 | Myotonic dystrophy: size- and sex-dependent dynamics of CTG meiotic instability, and somatic mosaicism. | 189 |
| 16 | 7 | |
| 17 | 89 | |
| 18 | 14 | |
| 19 | D19S51 is closely linked with and maps distal to the myotonic dystrophy locus on 19q. | 12 |
| 20 | 17 |
About Peggy Shelbourne
Peggy Shelbourne is a scholar working on Cellular and Molecular Neuroscience, Neurology and Molecular Biology, having authored 27 papers that have together received 1.8k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (26 papers), Mitochondrial Function and Pathology (16 papers) and Neurological disorders and treatments (9 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.6k citations), Neurology (663 citations) and Molecular Biology (1.5k citations). Peggy Shelbourne has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Shihua Li, Li He, Keith Johnson, Xiaojiang Li, Zhao-Xue Yu, Daniel V. Madison, Richard M. Myers, Xiao‐Jiang Li, Heather Johnston and June Davies. Their work appears in journals such as New England Journal of Medicine, Nature Genetics 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.