Mary M. Reilly
- Cellular and Molecular Neuroscience top 0.1%
- Molecular Biology top 1%
- Neurology top 0.2%
- Neurology top 0.2%
- Cell Biology top 0.5%
- Co-authors
- Alexander M. RossorMatilde LauráHenry HouldenMichael E. ShySinéad M. MurphyDavide PareysonJames M. PolkeMichael P. Lunn
- Topics
- Hereditary Neurological Disorders (191 papers)Genetic Neurodegenerative Diseases (84 papers)Peripheral Neuropathies and Disorders (59 papers)
- Journals
- The LancetJournal of Biological ChemistrySHILAP Revista de lepidopterología
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
Mary M. Reilly
349 papers receiving 11.1k citations
Peers
Comparison fields: 5 of 174
- Cellular and Molecular Neuroscience 5.8k
- Molecular Biology 4.0k
- Neurology 3.4k
- Neurology 1.7k
- Cell Biology 1.6k
Countries citing papers authored by Mary M. Reilly
This map shows the geographic impact of Mary M. Reilly'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 Mary M. Reilly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mary M. Reilly more than expected).
Fields of papers citing papers by Mary M. Reilly
This network shows the impact of papers produced by Mary M. Reilly. 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 Mary M. Reilly. The network helps show where Mary M. Reilly may publish in the future.
Co-authorship network of co-authors of Mary M. Reilly
This figure shows the co-authorship network connecting the top 25 collaborators of Mary M. Reilly. A scholar is included among the top collaborators of Mary M. Reilly 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 Mary M. Reilly. Mary M. Reilly is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 10 | |
| 10 | 0 | |
| 11 | 18 | |
| 12 | 18 | |
| 13 | 72 | |
| 14 | 16 | |
| 15 | 134 | |
| 16 | A COMPOUND HETEROZYGOUS MUTATION IN THE VACCINIA RELATED KINASE-1 GENE IS A CAUSE OF HEREDITARY MOTOR NEUROPATHY WITH UPPER MOTOR NEURON SIGNS | 4 |
| 17 | 154 | |
| 18 | Neurophysiological evidence for cerebellar dysfunction in neuropathic tremor | 1 |
| 19 | Clinical and genetic characterisation of families with triple a (Allgrove) syndrome | 1 |
| 20 | Genetic aspects of hereditary motor and sensory neuropathy | 2 |
About Mary M. Reilly
Mary M. Reilly is a scholar working on Cellular and Molecular Neuroscience, Neurology and Neurology, having authored 369 papers that have together received 11.4k indexed citations. Recurring topics across this work include Hereditary Neurological Disorders (191 papers), Genetic Neurodegenerative Diseases (84 papers) and Peripheral Neuropathies and Disorders (59 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (5.8k citations), Neurology (3.4k citations) and Neurology (1.7k citations). Mary M. Reilly has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Alexander M. Rossor, Matilde Laurá, Henry Houlden, Michael E. Shy, Sinéad M. Murphy, Davide Pareyson, James M. Polke, Michael P. Lunn, Julian Blake and Michael G. Hanna. Their work appears in journals such as The Lancet, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.
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.