Sachi Maeda
Impact in
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- Glioma Diagnosis and Treatment
- Virus-based gene therapy research
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- Cancer Genomics and Diagnostics
- MicroRNA in disease regulation
Papers in
- Genetics 17
- Glioma Diagnosis and Treatment 16
- Virus-based gene therapy research 2
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- Epigenetics and DNA Methylation 4
- RNA Research and Splicing 2
- Co-authors
- Atsushi Natsume (10 shared papers)Junya Yamaguchi (16 shared papers)Kazuya Motomura (17 shared papers)Fumiharu Ohka (21 shared papers)Kosuke Aoki (15 shared papers)Akira Kato (6 shared papers)Masaki Hirano (7 shared papers)Toshihiko Wakabayashi (7 shared papers)
- Journals
- Brain Tumor Pathology (5 papers)Acta Neuropathologica Communications (3 papers)Neuro-Oncology (3 papers)Cancer Science (2 papers)iScience (1 paper)
- Partner nations
- JapanUnited StatesChile
In The Last Decade
Sachi Maeda
21 papers receiving 183 citations
Peers
Comparison fields: 5 of 45
- Genetics 68
- Cancer Research 50
- Structural Biology 3
- Oncology 43
- Developmental Neuroscience 6
Countries citing papers authored by Sachi Maeda
This map shows the geographic impact of Sachi Maeda'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 Sachi Maeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sachi Maeda more than expected).
Fields of papers citing papers by Sachi Maeda
This network shows the impact of papers produced by Sachi Maeda. 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 Sachi Maeda. The network helps show where Sachi Maeda may publish in the future.
Co-authors
The 25 scholars most cited alongside Sachi Maeda, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 46 | |
| 2 | 2021 | 37 | |
| 3 | 2021 | 15 | |
| 4 | 2018 | 13 | |
| 5 | 2018 | 12 | |
| 6 | 2023 | 9 | |
| 7 | 2021 | 9 | |
| 8 | 2019 | 9 | |
| 9 | 2023 | 8 | |
| 10 | 2023 | 6 | |
| 11 | 2019 | 4 | |
| 12 | 2022 | 3 | |
| 13 | 2024 | 3 | |
| 14 | 2023 | 3 | |
| 15 | 2020 | 2 | |
| 16 | 2023 | 2 | |
| 17 | 2023 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2025 | 1 |
About Sachi Maeda
Sachi Maeda is a scholar working on Genetics, Molecular Biology, Cancer Research, Neurology and Radiology, Nuclear Medicine and Imaging, having authored 25 papers that have together received 186 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (16 papers), Neuroblastoma Research and Treatments (4 papers), Epigenetics and DNA Methylation (4 papers), MicroRNA in disease regulation (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Virus-based gene therapy research (2 papers), Cerebrospinal fluid and hydrocephalus (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Genetics (68 citations), Cancer Research (50 citations), Structural Biology (3 citations), Oncology (43 citations) and Developmental Neuroscience (6 citations). Sachi Maeda has collaborated with scholars based in Japan, United States and Chile. Frequent co-authors include Atsushi Natsume, Junya Yamaguchi, Kazuya Motomura, Fumiharu Ohka, Kosuke Aoki, Akira Kato, Masaki Hirano, Toshihiko Wakabayashi, Akane Yamamichi and Yukinari Kato. Their work appears in journals such as Brain Tumor Pathology, Acta Neuropathologica Communications, Neuro-Oncology, Cancer Science and iScience.
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.