Yoshiki Maeda
- Cognitive Neuroscience top 5%
- Functional Brain Connectivity Studies 6
- Psychiatry and Mental health top 5%
- Schizophrenia research and treatment 8
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- Neuroscience of respiration and sleep 5
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- Advanced Neuroimaging Techniques and Applications 4
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- Neonatal and fetal brain pathology 7
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- Heart Rate Variability and Autonomic Control 4
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- Neonatal Respiratory Health Research 3
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- Healthcare Technology and Patient Monitoring 1
- Co-authors
- Nariyoshi YamaguchiMasato HigashimaYasuhiro KawasakiKatsumi UrataMasayuki SuzukiHiroshi MatsudaK HisadaYoshifumi Koshino
- Journals
- SHILAP Revista de lepidopterología (1 paper)The Journal of Physiology (3 papers)Biological Psychiatry (1 paper)
- Partner nations
- JapanNew ZealandAustralia
In The Last Decade
Yoshiki Maeda
25 papers receiving 555 citations
Peers
Comparison fields: 5 of 92
- Cognitive Neuroscience 284
- Psychiatry and Mental health 209
- Endocrine and Autonomic Systems 42
- Radiology, Nuclear Medicine and Imaging 116
- Biological Psychiatry 12
Countries citing papers authored by Yoshiki Maeda
This map shows the geographic impact of Yoshiki 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 Yoshiki Maeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yoshiki Maeda more than expected).
Fields of papers citing papers by Yoshiki Maeda
This network shows the impact of papers produced by Yoshiki 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 Yoshiki Maeda. The network helps show where Yoshiki Maeda may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yoshiki 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 | 2024 | 7 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 6 | |
| 4 | 2022 | 0 | |
| 5 | 2020 | 4 | |
| 6 | 2018 | 14 | |
| 7 | 2017 | 1 | |
| 8 | 2016 | 2 | |
| 9 | Distributed MAC protocol for physical layer network coding | 2011 | 8 |
| 10 | 1999 | 9 | |
| 11 | 1998 | 11 | |
| 12 | 1998 | 60 | |
| 13 | 1997 | 51 | |
| 14 | 1996 | 37 | |
| 15 | 1996 | 21 | |
| 16 | 1993 | 86 | |
| 17 | 1993 | 72 | |
| 18 | 1992 | 55 | |
| 19 | 1992 | 3 | |
| 20 | 1991 | 14 |
About Yoshiki Maeda
Yoshiki Maeda is a scholar working on Endocrine and Autonomic Systems, Psychiatry and Mental health and Pediatrics, Perinatology and Child Health, having authored 28 papers that have together received 567 indexed citations. Recurring topics across this work include Schizophrenia research and treatment (8 papers), Neonatal and fetal brain pathology (7 papers), Functional Brain Connectivity Studies (6 papers), Neuroscience of respiration and sleep (5 papers), Advanced Neuroimaging Techniques and Applications (4 papers), Heart Rate Variability and Autonomic Control (4 papers), Neonatal Respiratory Health Research (3 papers) and Healthcare Technology and Patient Monitoring (1 paper). The work is most often cited by research in Cognitive Neuroscience (284 citations), Psychiatry and Mental health (209 citations) and Endocrine and Autonomic Systems (42 citations). Yoshiki Maeda has collaborated with scholars based in Japan, New Zealand and Australia. Frequent co-authors include Nariyoshi Yamaguchi, Masato Higashima, Yasuhiro Kawasaki, Katsumi Urata, Masayuki Suzuki, Hiroshi Matsuda, K Hisada, Yoshifumi Koshino, Yoshihiko Ide and Tsutomu Takashima. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Physiology and Biological Psychiatry.
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.