Mark P. Mattson
Impact in
- Aging top 0.01%
- Biological Psychiatry top 0.01%
Papers in
- Aging 53
-
- Neurogenesis and neuroplasticity mechanisms 88
- Co-authors
- Simonetta CamandolaWenzhen DuanAiwu ChengSic L. ChanRoy G. CutlerKatsutoshi FurukawaThiruma V. ArumugamInna I. Kruman
- Journals
- Journal of Neurochemistry (88 papers)NeuroMolecular Medicine (56 papers)Neurobiology of Aging (34 papers)Journal of Neuroscience (30 papers)Trends in Neurosciences (29 papers)
- Partner nations
- United StatesSouth KoreaAustralia
In The Last Decade
Mark P. Mattson
951 papers receiving 125.7k citations
Hit Papers
Peers
Comparison fields: 5 of 215
- Aging 4.9k
- Biological Psychiatry 6.2k
- Developmental Neuroscience 10.0k
- Neurology 18.3k
- Physiology 53.0k
Countries citing papers authored by Mark P. Mattson
This map shows the geographic impact of Mark P. Mattson'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 Mark P. Mattson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark P. Mattson more than expected).
Fields of papers citing papers by Mark P. Mattson
This network shows the impact of papers produced by Mark P. Mattson. 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 Mark P. Mattson. The network helps show where Mark P. Mattson may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark P. Mattson, 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 | 10 | |
| 2 | 2024 | 12 | |
| 3 | 2024 | 5 | |
| 4 | 2018 | 32 | |
| 5 | 2017 | 10 | |
| 6 | 2017 | 93 | |
| 7 | 2017 | 8 | |
| 8 | Brain metabolism in health, aging, and neurodegeneration Hit paper breakdown → | 2017 | 491 |
| 9 | 2016 | 188 | |
| 10 | 2016 | 206 | |
| 11 | 2014 | 21 | |
| 12 | 2014 | 43 | |
| 13 | 2014 | 114 | |
| 14 | 2012 | 88 | |
| 15 | 2010 | 266 | |
| 16 | GLP-1 receptor stimulation preserves primary cortical and dopaminergic neurons in cellular and rodent models of stroke and Parkinsonism Hit paper breakdown → | 2009 | 502 |
| 17 | 2003 | 127 | |
| 18 | 2002 | 4 | |
| 19 | 2001 | 14 | |
| 20 | 1999 | 5 |
About Mark P. Mattson
Mark P. Mattson is a scholar working on Aging, Developmental Neuroscience, Neurology, Physiology and Cellular and Molecular Neuroscience, having authored 955 papers that have together received 128.3k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (230 papers), Neuroscience and Neuropharmacology Research (186 papers), Neuroinflammation and Neurodegeneration Mechanisms (118 papers), Mitochondrial Function and Pathology (106 papers), Neurogenesis and neuroplasticity mechanisms (88 papers), Adipose Tissue and Metabolism (73 papers), Biochemical effects in animals (66 papers) and Cholinesterase and Neurodegenerative Diseases (66 papers). The work is most often cited by research in Aging (4.9k citations), Biological Psychiatry (6.2k citations), Developmental Neuroscience (10.0k citations), Neurology (18.3k citations) and Physiology (53.0k citations). Mark P. Mattson has collaborated with scholars based in United States, South Korea and Australia. Frequent co-authors include Simonetta Camandola, Wenzhen Duan, Aiwu Cheng, Sic L. Chan, Roy G. Cutler, Katsutoshi Furukawa, Thiruma V. Arumugam, Inna I. Kruman, Bronwen Martin and Zhihong Guo. Their work appears in journals such as Journal of Neurochemistry, NeuroMolecular Medicine, Neurobiology of Aging, Journal of Neuroscience and Trends in Neurosciences.
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.