Mayumi Tsuji
- Biological Psychiatry top 2%
- Physiology top 5%
- Alzheimer's disease research and treatments 22
- Neurology top 5%
- Parkinson's Disease Mechanisms and Treatments 6
- Molecular Biology top 10%
- Developmental Neuroscience top 10%
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- COVID-19 and Mental Health 21
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- COVID-19 Pandemic Impacts 14
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- Workplace Health and Well-being 8
- Employment and Welfare Studies 7
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- Cholinesterase and Neurodegenerative Diseases 8
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- Dialysis and Renal Disease Management 7
- Co-authors
- Kenjiro OnoKatsuji OguchiGiulio Maria PasinettiLap HoPaolo MazzolaYuji KiuchiYoshihisa FujinoSeiichiro Tateishi
- Journals
- SHILAP Revista de lepidopterología (1 paper)Nano Letters (1 paper)Cancer Research (1 paper)
- Partner nations
- JapanUnited StatesMalaysia
In The Last Decade
Mayumi Tsuji
157 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 149
- Biological Psychiatry 181
- Physiology 567
- Neurology 147
- Molecular Biology 812
- Developmental Neuroscience 48
Countries citing papers authored by Mayumi Tsuji
This map shows the geographic impact of Mayumi Tsuji'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 Mayumi Tsuji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mayumi Tsuji more than expected).
Fields of papers citing papers by Mayumi Tsuji
This network shows the impact of papers produced by Mayumi Tsuji. 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 Mayumi Tsuji. The network helps show where Mayumi Tsuji may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mayumi Tsuji, 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 | 0 | |
| 2 | 2024 | 4 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 15 | |
| 6 | 2022 | 2 | |
| 7 | 2022 | 3 | |
| 8 | 2022 | 5 | |
| 9 | 2022 | 12 | |
| 10 | 2022 | 3 | |
| 11 | 2022 | 2 | |
| 12 | 2022 | 5 | |
| 13 | 2022 | 4 | |
| 14 | 2021 | 5 | |
| 15 | 2021 | 8 | |
| 16 | 2021 | 7 | |
| 17 | 2020 | 25 | |
| 18 | 2019 | 37 | |
| 19 | Anti-inflammatory effects of EGCG or EGCG3Me against hyperosmotic-induced inflammation in humans conjunctival epithelial cells. | 2015 | 1 |
| 20 | Chemotherapy of Paragonimiasis with Bithionol. II. Clinical Observations on the Treatment with Bithionol. | 1961 | 12 |
About Mayumi Tsuji
Mayumi Tsuji is a scholar working on Developmental Neuroscience, Physiology and Nephrology, having authored 170 papers that have together received 2.3k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (22 papers), COVID-19 and Mental Health (21 papers), COVID-19 Pandemic Impacts (14 papers), Workplace Health and Well-being (8 papers), Cholinesterase and Neurodegenerative Diseases (8 papers), Employment and Welfare Studies (7 papers), Dialysis and Renal Disease Management (7 papers) and Parkinson's Disease Mechanisms and Treatments (6 papers). The work is most often cited by research in Biological Psychiatry (181 citations), Physiology (567 citations) and Neurology (147 citations). Mayumi Tsuji has collaborated with scholars based in Japan, United States and Malaysia. Frequent co-authors include Kenjiro Ono, Katsuji Oguchi, Giulio Maria Pasinetti, Lap Ho, Paolo Mazzola, Yuji Kiuchi, Yoshihisa Fujino, Seiichiro Tateishi, Tatsunori Oguchi and Shinya Matsuda. Their work appears in journals such as SHILAP Revista de lepidopterología, Nano Letters and Cancer Research.
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.