Emma L. Scotter
- Neurology top 0.5%
- Amyotrophic Lateral Sclerosis Research 26
- Neuroinflammation and Neurodegeneration Mechanisms 10
- Barrier Structure and Function Studies 6
- Parkinson's Disease Mechanisms and Treatments 5
- Neurology top 1%
- Amyotrophic Lateral Sclerosis Research 26
- Neuroinflammation and Neurodegeneration Mechanisms 10
- Barrier Structure and Function Studies 6
- Parkinson's Disease Mechanisms and Treatments 5
- Genetics top 1%
- Neurogenetic and Muscular Disorders Research 20
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- Genetic Neurodegenerative Diseases 6
- Biological Psychiatry top 10%
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- Alzheimer's disease research and treatments 7
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- RNA Research and Splicing 5
- Co-authors
- Christopher E. ShawMike DragunowHan-Jou ChenMichelle GlassCaroline VanceRichard L. M. FaullAgnes L. NishimuraE. Scott Graham
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (1 paper)PLoS ONE (1 paper)
- Partner nations
- New ZealandUnited KingdomUnited States
In The Last Decade
Emma L. Scotter
47 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 98
- Neurology 1.3k
- Neurology 609
- Genetics 741
- Cellular and Molecular Neuroscience 545
- Biological Psychiatry 60
Countries citing papers authored by Emma L. Scotter
This map shows the geographic impact of Emma L. Scotter'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 Emma L. Scotter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emma L. Scotter more than expected).
Fields of papers citing papers by Emma L. Scotter
This network shows the impact of papers produced by Emma L. Scotter. 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 Emma L. Scotter. The network helps show where Emma L. Scotter may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Emma L. Scotter, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2023 | 7 | |
| 4 | 2022 | 12 | |
| 5 | 2022 | 52 | |
| 6 | 2022 | 8 | |
| 7 | 2021 | 35 | |
| 8 | 2021 | 22 | |
| 9 | 2021 | 32 | |
| 10 | 2020 | 53 | |
| 11 | 2020 | 61 | |
| 12 | 2018 | 100 | |
| 13 | 2015 | 46 | |
| 14 | 2014 | 81 | |
| 15 | 2014 | 211 | |
| 16 | 2013 | 191 | |
| 17 | 2012 | 3 | |
| 18 | 2010 | 20 | |
| 19 | 2008 | 100 | |
| 20 | 2006 | 52 |
About Emma L. Scotter
Emma L. Scotter is a scholar working on Neurology, Genetics and Neurology, having authored 48 papers that have together received 2.7k indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (26 papers), Neurogenetic and Muscular Disorders Research (20 papers), Neuroinflammation and Neurodegeneration Mechanisms (10 papers), Alzheimer's disease research and treatments (7 papers), Genetic Neurodegenerative Diseases (6 papers), Barrier Structure and Function Studies (6 papers), Parkinson's Disease Mechanisms and Treatments (5 papers) and RNA Research and Splicing (5 papers). The work is most often cited by research in Neurology (1.3k citations), Neurology (609 citations) and Genetics (741 citations). Emma L. Scotter has collaborated with scholars based in New Zealand, United Kingdom and United States. Frequent co-authors include Christopher E. Shaw, Mike Dragunow, Han-Jou Chen, Michelle Glass, Caroline Vance, Richard L. M. Faull, Agnes L. Nishimura, E. Scott Graham, Jacqueline C. Mitchell and Boris Rogelj. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.
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.