Maya Lowe
Impact in
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
- Parkinson's Disease Mechanisms and Treatments
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
Papers in
- Genetics 14
- Genetic Associations and Epidemiology 10
- Genomic variations and chromosomal abnormalities 3
- Genetics and Neurodevelopmental Disorders 2
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- Parkinson's Disease Mechanisms and Treatments 4
- Neurological diseases and metabolism 3
- Co-authors
- Janice Graham (1 shared paper)Shawn Harmon (1 shared paper)Rachel Parker (1 shared paper)
- Journals
- Nature Genetics (6 papers)Communications Biology (4 papers)Nature Communications (2 papers)Translational Psychiatry (2 papers)npj Parkinson s Disease (2 papers)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Maya Lowe
28 papers receiving 1.5k citations
Maya Lowe's Hit Papers
Peers
Comparison fields: 5 of 129
- Neurology 189
- Biological Psychiatry 55
- Genetics 392
- Sensory Systems 54
- Physiology 259
Countries citing papers authored by Maya Lowe
This map shows the geographic impact of Maya Lowe'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 Maya Lowe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maya Lowe more than expected).
Fields of papers citing papers by Maya Lowe
This network shows the impact of papers produced by Maya Lowe. 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 Maya Lowe. The network helps show where Maya Lowe may publish in the future.
Co-authors
The 3 scholars most cited alongside Maya Lowe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A genome-wide association study with 1,126,563 individuals identifies new risk loci for Alzheimer’s disease Hit paper breakdown → | 2021 | 638 |
| 2 | 2021 | 130 | |
| 3 | Multi-ancestry genome-wide association meta-analysis of Parkinson’s disease Hit paper breakdown → | 2023 | 123 |
| 4 | 2022 | 83 | |
| 5 | 2022 | 79 | |
| 6 | 2022 | 61 | |
| 7 | 2023 | 50 | |
| 8 | 2023 | 46 | |
| 9 | 2021 | 32 | |
| 10 | 2022 | 27 | |
| 11 | 2022 | 26 | |
| 12 | 2024 | 25 | |
| 13 | 2024 | 23 | |
| 14 | 2021 | 23 | |
| 15 | 2022 | 22 | |
| 16 | 2022 | 14 | |
| 17 | 2021 | 14 | |
| 18 | 2024 | 13 | |
| 19 | 2023 | 10 | |
| 20 | 2021 | 8 |
About Maya Lowe
Maya Lowe is a scholar working on Genetics, Neurology, Neurology, Immunology and Allergy and Immunology, having authored 28 papers that have together received 1.5k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (10 papers), Parkinson's Disease Mechanisms and Treatments (4 papers), Neurological diseases and metabolism (3 papers), Genomic variations and chromosomal abnormalities (3 papers), Biochemical Analysis and Sensing Techniques (2 papers), Genetics and Neurodevelopmental Disorders (2 papers), Cell Adhesion Molecules Research (2 papers) and Nonmelanoma Skin Cancer Studies (2 papers). The work is most often cited by research in Neurology (189 citations), Biological Psychiatry (55 citations), Genetics (392 citations), Sensory Systems (54 citations) and Physiology (259 citations). Maya Lowe has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Janice Graham, Shawn Harmon and Rachel Parker. Their work appears in journals such as Nature Genetics, Communications Biology, Nature Communications, Translational Psychiatry and npj Parkinson s Disease.
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.