M Reading
Impact in
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
- Parkinson's Disease Mechanisms and Treatments
- Sensory Systems top 10%
- Olfactory and Sensory Function Studies
Papers in
-
- Autoimmune Neurological Disorders and Treatments 2
- Neuroinflammation and Neurodegeneration Mechanisms 1
- Parkinson's Disease Mechanisms and Treatments 1
- Co-authors
- Margaret M. Esiri (9 shared papers)Rupert McShane (2 shared papers)Zsuzsanna Nagy (1 shared paper)Paul Hubbard (1 shared paper)Tony Hope (1 shared paper)B. McDonald (1 shared paper)Kathy Gedling (1 shared paper)F. F. Cruz-Sánchez (1 shared paper)
- Journals
- Neuropathology and Applied Neurobiology (4 papers)Journal of Clinical Pathology (2 papers)Journal of Anatomy (1 paper)Journal of Neurology (1 paper)Journal of Neurology Neurosurgery & Psychiatry (1 paper)
- Partner nations
- United Kingdom
In The Last Decade
M Reading
10 papers receiving 387 citations
Peers
Comparison fields: 5 of 76
- Neurology 123
- Sensory Systems 49
- Developmental Neuroscience 34
- Neurology 116
- Immunology and Allergy 25
Countries citing papers authored by M Reading
This map shows the geographic impact of M Reading'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 M Reading with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M Reading more than expected).
Fields of papers citing papers by M Reading
This network shows the impact of papers produced by M Reading. 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 M Reading. The network helps show where M Reading may publish in the future.
Co-authors
The 12 scholars most cited alongside M Reading, 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 | 2007 | 75 | |
| 2 | 1991 | 63 | |
| 3 | 1995 | 59 | |
| 4 | 1977 | 50 | |
| 5 | 1987 | 49 | |
| 6 | 1989 | 36 | |
| 7 | 1988 | 27 | |
| 8 | 1993 | 22 | |
| 9 | 1989 | 17 | |
| 10 | 1989 | 11 |
About M Reading
M Reading is a scholar working on Neurology, Immunology, Molecular Biology, Epidemiology and Neurology, having authored 10 papers that have together received 409 indexed citations. Recurring topics across this work include Autoimmune Neurological Disorders and Treatments (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (1 paper), Ginkgo biloba and Cashew Applications (1 paper), Systemic Sclerosis and Related Diseases (1 paper), Animal Virus Infections Studies (1 paper), Biochemical Analysis and Sensing Techniques (1 paper), Polyomavirus and related diseases (1 paper) and Parkinson's Disease Mechanisms and Treatments (1 paper). The work is most often cited by research in Neurology (123 citations), Sensory Systems (49 citations), Developmental Neuroscience (34 citations), Neurology (116 citations) and Immunology and Allergy (25 citations). M Reading has collaborated with scholars based in United Kingdom. Frequent co-authors include Margaret M. Esiri, Rupert McShane, Zsuzsanna Nagy, Paul Hubbard, Tony Hope, B. McDonald, Kathy Gedling, F. F. Cruz-Sánchez, John T. Hughes and M. V. Squier. Their work appears in journals such as Neuropathology and Applied Neurobiology, Journal of Clinical Pathology, Journal of Anatomy, Journal of Neurology and Journal of Neurology Neurosurgery & Psychiatry.
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.