Masayuki Maeda
Impact in
- Neurology top 1%
- Microbiology top 0.5%
- Bacterial Infections and Vaccines
Papers in
- Neurology 59
- Intracerebral and Subarachnoid Hemorrhage Research 20
- Intracranial Aneurysms: Treatment and Complications 11
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- Advanced Neuroimaging Techniques and Applications 27
- Advanced MRI Techniques and Applications 25
- MRI in cancer diagnosis 22
- Co-authors
- Kan TakedaHajime SakumaStephan E. MaierHirokazu TsukaharaJun‐ichi TakanashiYasushi IshiiHidekazu TomimotoA. James Barkovich
- Journals
- American Journal of Neuroradiology (8 papers)Journal of Magnetic Resonance Imaging (6 papers)European Radiology (5 papers)Journal of Neuroradiology (5 papers)Radiology (4 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Masayuki Maeda
175 papers receiving 4.5k citations
Peers
Comparison fields: 5 of 127
- Neurology 1.3k
- Microbiology 485
- Radiology, Nuclear Medicine and Imaging 1.3k
- Infectious Diseases 787
- Genetics 332
Countries citing papers authored by Masayuki Maeda
This map shows the geographic impact of Masayuki 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 Masayuki Maeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masayuki Maeda more than expected).
Fields of papers citing papers by Masayuki Maeda
This network shows the impact of papers produced by Masayuki 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 Masayuki Maeda. The network helps show where Masayuki Maeda may publish in the future.
Co-authors
The 25 scholars most cited alongside Masayuki 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 1 | |
| 7 | 2022 | 8 | |
| 8 | 2022 | 2 | |
| 9 | 2022 | 4 | |
| 10 | 2021 | 8 | |
| 11 | 2019 | 4 | |
| 12 | 2018 | 3 | |
| 13 | 2017 | 10 | |
| 14 | 2016 | 4 | |
| 15 | 2008 | 46 | |
| 16 | 2007 | 25 | |
| 17 | 2004 | 33 | |
| 18 | 2001 | 2 | |
| 19 | 2000 | 1 | |
| 20 | 1994 | 54 |
About Masayuki Maeda
Masayuki Maeda is a scholar working on Neurology, Radiology, Nuclear Medicine and Imaging, Epidemiology, Neurology and Pulmonary and Respiratory Medicine, having authored 184 papers that have together received 4.6k indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (27 papers), Advanced Neuroimaging Techniques and Applications (27 papers), Advanced MRI Techniques and Applications (25 papers), Cerebrovascular and Carotid Artery Diseases (23 papers), MRI in cancer diagnosis (22 papers), Intracerebral and Subarachnoid Hemorrhage Research (20 papers), Meningioma and schwannoma management (12 papers) and Intracranial Aneurysms: Treatment and Complications (11 papers). The work is most often cited by research in Neurology (1.3k citations), Microbiology (485 citations), Radiology, Nuclear Medicine and Imaging (1.3k citations), Infectious Diseases (787 citations) and Genetics (332 citations). Masayuki Maeda has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Kan Takeda, Hajime Sakuma, Stephan E. Maier, Hirokazu Tsukahara, Jun‐ichi Takanashi, Yasushi Ishii, Hidekazu Tomimoto, A. James Barkovich, Waro Taki and Taro Shimono. Their work appears in journals such as American Journal of Neuroradiology, Journal of Magnetic Resonance Imaging, European Radiology, Journal of Neuroradiology and Radiology.
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.