Matthew De Both
Impact in
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- Parkinson's Disease Mechanisms and Treatments
- Neuroinflammation and Neurodegeneration Mechanisms
- Neurological diseases and metabolism
Papers in
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- RNA regulation and disease 3
- Machine Learning in Bioinformatics 1
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- Alzheimer's disease research and treatments 6
- Co-authors
- Matthew J. Huentelman (14 shared papers)Joshua S. Talboom (5 shared papers)Marcus Naymik (4 shared papers)Ashley L. Siniard (5 shared papers)Travis Dunckley (2 shared papers)Ignazio S. Piras (8 shared papers)Erika Driver‐Dunckley (2 shared papers)Thomas G. Beach (4 shared papers)
- Journals
- Alzheimer s & Dementia (1 paper)Acta Neuropathologica Communications (1 paper)Scientific Reports (1 paper)Frontiers in Aging Neuroscience (1 paper)Gerontology (1 paper)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Matthew De Both
14 papers receiving 230 citations
Peers
Comparison fields: 5 of 67
- Neurology 43
- Biological Psychiatry 11
- Neurology 51
- Neuropsychology and Physiological Psychology 5
- Physiology 64
Countries citing papers authored by Matthew De Both
This map shows the geographic impact of Matthew De Both'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 De Both with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew De Both more than expected).
Fields of papers citing papers by Matthew De Both
This network shows the impact of papers produced by Matthew De Both. 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 De Both. The network helps show where Matthew De Both may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew De Both, 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 | 2021 | 53 | |
| 2 | 2019 | 30 | |
| 3 | 2016 | 26 | |
| 4 | 2021 | 26 | |
| 5 | 2018 | 22 | |
| 6 | 2020 | 20 | |
| 7 | 2019 | 18 | |
| 8 | 2019 | 16 | |
| 9 | 2019 | 6 | |
| 10 | 2022 | 5 | |
| 11 | 2020 | 4 | |
| 12 | 2020 | 4 | |
| 13 | 2020 | 2 | |
| 14 | 2017 | 1 | |
| 15 | 2025 | 0 |
About Matthew De Both
Matthew De Both is a scholar working on Molecular Biology, Physiology, Psychiatry and Mental health, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine, having authored 15 papers that have together received 233 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (6 papers), Dementia and Cognitive Impairment Research (3 papers), RNA regulation and disease (3 papers), Renin-Angiotensin System Studies (2 papers), Nuclear Receptors and Signaling (2 papers), Genetic Associations and Epidemiology (2 papers), Health, Environment, Cognitive Aging (2 papers) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Neurology (43 citations), Biological Psychiatry (11 citations), Neurology (51 citations), Neuropsychology and Physiological Psychology (5 citations) and Physiology (64 citations). Matthew De Both has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Matthew J. Huentelman, Joshua S. Talboom, Marcus Naymik, Ashley L. Siniard, Travis Dunckley, Ignazio S. Piras, Erika Driver‐Dunckley, Thomas G. Beach, Bessie Meechoovet and Qi Wang. Their work appears in journals such as Alzheimer s & Dementia, Acta Neuropathologica Communications, Scientific Reports, Frontiers in Aging Neuroscience and Gerontology.
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.