Yuka A. Martens
- Neurology top 2%
- Neuroinflammation and Neurodegeneration Mechanisms 9
- Parkinson's Disease Mechanisms and Treatments 3
- Biological Psychiatry top 5%
- Physiology top 5%
- Alzheimer's disease research and treatments 15
- Developmental Neuroscience top 10%
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms 9
- Parkinson's Disease Mechanisms and Treatments 3
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- Dementia and Cognitive Impairment Research 4
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- Inflammation biomarkers and pathways 4
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- Nuclear Receptors and Signaling 4
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- Single-cell and spatial transcriptomics 3
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- Cholinesterase and Neurodegenerative Diseases 3
- Co-authors
- Guojun BuChia‐Chen LiuTakahisa KanekiyoNa ZhaoPatrick M. SullivanJing ZhaoCynthia LinaresMitsuru Shinohara
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Clinical Investigation (1 paper)Neuron (3 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Yuka A. Martens
28 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Neurology 490
- Biological Psychiatry 91
- Physiology 748
- Developmental Neuroscience 63
- Neurology 178
Countries citing papers authored by Yuka A. Martens
This map shows the geographic impact of Yuka A. Martens'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 Yuka A. Martens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuka A. Martens more than expected).
Fields of papers citing papers by Yuka A. Martens
This network shows the impact of papers produced by Yuka A. Martens. 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 Yuka A. Martens. The network helps show where Yuka A. Martens may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yuka A. Martens, 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 | 8 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 6 | |
| 4 | 2023 | 42 | |
| 5 | 2023 | 45 | |
| 6 | 2023 | 26 | |
| 7 | 2023 | 17 | |
| 8 | 2022 | 10 | |
| 9 | 2022 | 42 | |
| 10 | 2022 | 39 | |
| 11 | ApoE Cascade Hypothesis in the pathogenesis of Alzheimer’s disease and related dementiasbreakdown → | 2022 | 166 |
| 12 | 2022 | 56 | |
| 13 | 2022 | 1 | |
| 14 | 2021 | 2 | |
| 15 | 2021 | 95 | |
| 16 | 2020 | 45 | |
| 17 | 2019 | 111 | |
| 18 | 2019 | 52 | |
| 19 | 2018 | 130 | |
| 20 | 2017 | 217 |
About Yuka A. Martens
Yuka A. Martens is a scholar working on Aging, Neurology and Physiology, having authored 29 papers that have together received 1.4k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (15 papers), Neuroinflammation and Neurodegeneration Mechanisms (9 papers), Dementia and Cognitive Impairment Research (4 papers), Inflammation biomarkers and pathways (4 papers), Nuclear Receptors and Signaling (4 papers), Single-cell and spatial transcriptomics (3 papers), Cholinesterase and Neurodegenerative Diseases (3 papers) and Parkinson's Disease Mechanisms and Treatments (3 papers). The work is most often cited by research in Neurology (490 citations), Biological Psychiatry (91 citations) and Physiology (748 citations). Yuka A. Martens has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Guojun Bu, Chia‐Chen Liu, Takahisa Kanekiyo, Na Zhao, Patrick M. Sullivan, Jing Zhao, Cynthia Linares, Mitsuru Shinohara, Joshua A. Knight and Meghan M. Painter. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Neuron.
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.