G. R. Wayne Moore
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms 3
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms 4
- Peripheral Neuropathies and Disorders 3
- Pathology and Forensic Medicine top 10%
- Multiple Sclerosis Research Studies 12
-
- T-cell and Retrovirus Studies 2
- Agronomy and Crop Science top 10%
-
- RNA regulation and disease 7
-
- Advanced Neuroimaging Techniques and Applications 3
-
- Alzheimer's disease research and treatments 2
- Co-authors
- Cornelia LauleCedric S. RaineUte TraugottLabe C. ScheinbergS. A. MehtaAlex L. MacKayPauline LuczynskiHelen Tremlett
- Partner nations
- CanadaUnited StatesChina
In The Last Decade
G. R. Wayne Moore
31 papers receiving 661 citations
Peers
Comparison fields: 5 of 80
- Developmental Neuroscience 107
- Neurology 112
- Pathology and Forensic Medicine 170
- Immunology 174
- Agronomy and Crop Science 62
Countries citing papers authored by G. R. Wayne Moore
This map shows the geographic impact of G. R. Wayne Moore'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 G. R. Wayne Moore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. R. Wayne Moore more than expected).
Fields of papers citing papers by G. R. Wayne Moore
This network shows the impact of papers produced by G. R. Wayne Moore. 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 G. R. Wayne Moore. The network helps show where G. R. Wayne Moore may publish in the future.
Co-authorship network
The 25 scholars most cited alongside G. R. Wayne Moore, 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 | 2024 | 4 | |
| 2 | 2024 | 14 | |
| 3 | 2023 | 3 | |
| 4 | 2021 | 6 | |
| 5 | 2021 | 12 | |
| 6 | 2018 | 38 | |
| 7 | 2018 | 2 | |
| 8 | 2017 | 88 | |
| 9 | 2016 | 16 | |
| 10 | 2012 | 17 | |
| 11 | 2012 | 53 | |
| 12 | 2010 | 13 | |
| 13 | 2009 | 34 | |
| 14 | 2008 | 23 | |
| 15 | 2008 | 10 | |
| 16 | 2008 | 8 | |
| 17 | 1994 | 19 | |
| 18 | 1989 | 125 | |
| 19 | 1988 | 2 | |
| 20 | 1986 | 34 |
About G. R. Wayne Moore
G. R. Wayne Moore is a scholar working on Developmental Neuroscience, Pathology and Forensic Medicine and Neurology, having authored 31 papers that have together received 668 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (12 papers), RNA regulation and disease (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Peripheral Neuropathies and Disorders (3 papers), Advanced Neuroimaging Techniques and Applications (3 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), T-cell and Retrovirus Studies (2 papers) and Alzheimer's disease research and treatments (2 papers). The work is most often cited by research in Developmental Neuroscience (107 citations), Neurology (112 citations) and Pathology and Forensic Medicine (170 citations). G. R. Wayne Moore has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Cornelia Laule, Cedric S. Raine, Ute Traugott, Labe C. Scheinberg, S. A. Mehta, Alex L. MacKay, Pauline Luczynski, Helen Tremlett, K. E. Newsham and Piotr Kozłowski. Their work appears in journals such as Nature Communications, NeuroImage and Annals of Neurology.
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.