Matthew E. Nolan
Impact in
Papers in
- Co-authors
- Olaf Ansorge (4 shared papers)Kevin Talbot (3 shared papers)Claire Troakes (6 shared papers)Safa Al‐Sarraj (5 shared papers)Christopher E. Shaw (2 shared papers)Andrew R. King (4 shared papers)Youn‐Bok Lee (1 shared paper)Jean‐Marc Gallo (1 shared paper)
- Journals
- Acta Neuropathologica Communications (4 papers)Journal of Neural Transmission (2 papers)The Journal of Comparative Neurology (1 paper)Acta Neuropathologica (1 paper)Plant Stress (1 paper)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Matthew E. Nolan
18 papers receiving 664 citations
Peers
Comparison fields: 5 of 87
- Neurology 360
- Genetics 177
- Neurology 63
- Cancer Research 65
- Cellular and Molecular Neuroscience 74
Countries citing papers authored by Matthew E. Nolan
This map shows the geographic impact of Matthew E. Nolan'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 Matthew E. Nolan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew E. Nolan more than expected).
Fields of papers citing papers by Matthew E. Nolan
This network shows the impact of papers produced by Matthew E. Nolan. 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 Matthew E. Nolan. The network helps show where Matthew E. Nolan may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew E. Nolan, 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 | 2017 | 199 | |
| 2 | 2016 | 103 | |
| 3 | 2015 | 73 | |
| 4 | 2009 | 53 | |
| 5 | 2016 | 41 | |
| 6 | 2020 | 40 | |
| 7 | 2024 | 40 | |
| 8 | 2008 | 27 | |
| 9 | 2015 | 27 | |
| 10 | 2015 | 22 | |
| 11 | 2024 | 16 | |
| 12 | 2015 | 11 | |
| 13 | 2024 | 10 | |
| 14 | 2025 | 3 | |
| 15 | 2021 | 3 | |
| 16 | 2026 | 2 | |
| 17 | 2015 | 1 | |
| 18 | 2016 | 1 |
About Matthew E. Nolan
Matthew E. Nolan is a scholar working on Neurology, Neurology, Genetics, Cellular and Molecular Neuroscience and Physiology, having authored 18 papers that have together received 672 indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (9 papers), Neurogenetic and Muscular Disorders Research (3 papers), Alzheimer's disease research and treatments (3 papers), Cannabis and Cannabinoid Research (2 papers), Neurological Disease Mechanisms and Treatments (2 papers), RNA Research and Splicing (2 papers), Polyamine Metabolism and Applications (1 paper) and Biochemical Analysis and Sensing Techniques (1 paper). The work is most often cited by research in Neurology (360 citations), Genetics (177 citations), Neurology (63 citations), Cancer Research (65 citations) and Cellular and Molecular Neuroscience (74 citations). Matthew E. Nolan has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Olaf Ansorge, Kevin Talbot, Claire Troakes, Safa Al‐Sarraj, Christopher E. Shaw, Andrew R. King, Youn‐Bok Lee, Jean‐Marc Gallo, James Selib Michaelson and Barbara Lynn Smith. Their work appears in journals such as Acta Neuropathologica Communications, Journal of Neural Transmission, The Journal of Comparative Neurology, Acta Neuropathologica and Plant Stress.
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.