Eizo Iseki
- Neurology top 0.5%
- Parkinson's Disease Mechanisms and Treatments 65
- Neuroinflammation and Neurodegeneration Mechanisms 17
- Neurological Disease Mechanisms and Treatments 17
- Neurological diseases and metabolism 12
- Neurology top 0.2%
- Parkinson's Disease Mechanisms and Treatments 65
- Neuroinflammation and Neurodegeneration Mechanisms 17
- Neurological Disease Mechanisms and Treatments 17
- Neurological diseases and metabolism 12
- Physiology top 0.5%
- Alzheimer's disease research and treatments 84
- Biological Psychiatry top 2%
- Psychiatry and Mental health top 1%
- Dementia and Cognitive Impairment Research 48
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- Ginkgo biloba and Cashew Applications 16
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- Neuroscience and Neuropharmacology Research 15
- Co-authors
- Kenji KosakaTakashi TogoHaruhiko AkiyamaMasanori KatoOmi KatsuseWami MaruiHiroshige FujishiroHeii Arai
- Cited by
- NeurologyPhysiology
- Journals
- Journal of Biological Chemistry (1 paper)Annals of Neurology (1 paper)Brain Research (5 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Eizo Iseki
173 papers receiving 5.2k citations
Peers
Comparison fields: 5 of 126
- Neurology 1.5k
- Neurology 2.4k
- Physiology 2.7k
- Biological Psychiatry 244
- Psychiatry and Mental health 1.1k
Countries citing papers authored by Eizo Iseki
This map shows the geographic impact of Eizo Iseki'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 Eizo Iseki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eizo Iseki more than expected).
Fields of papers citing papers by Eizo Iseki
This network shows the impact of papers produced by Eizo Iseki. 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 Eizo Iseki. The network helps show where Eizo Iseki may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Eizo Iseki, 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 | 2017 | 3 | |
| 2 | 2016 | 14 | |
| 3 | 2013 | 74 | |
| 4 | 2013 | 46 | |
| 5 | 2012 | 12 | |
| 6 | 2010 | 29 | |
| 7 | 2007 | 30 | |
| 8 | 2006 | 44 | |
| 9 | 2005 | 28 | |
| 10 | 2004 | 52 | |
| 11 | 2003 | 69 | |
| 12 | 2002 | 96 | |
| 13 | 2002 | 13 | |
| 14 | 2000 | 31 | |
| 15 | 2000 | 47 | |
| 16 | 1999 | 60 | |
| 17 | 1998 | 9 | |
| 18 | 1996 | 28 | |
| 19 | 1995 | 33 | |
| 20 | 1989 | 41 |
About Eizo Iseki
Eizo Iseki is a scholar working on Neurology, Neurology and Psychiatry and Mental health, having authored 173 papers that have together received 5.3k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (84 papers), Parkinson's Disease Mechanisms and Treatments (65 papers), Dementia and Cognitive Impairment Research (48 papers), Neuroinflammation and Neurodegeneration Mechanisms (17 papers), Neurological Disease Mechanisms and Treatments (17 papers), Ginkgo biloba and Cashew Applications (16 papers), Neuroscience and Neuropharmacology Research (15 papers) and Neurological diseases and metabolism (12 papers). The work is most often cited by research in Neurology (1.5k citations), Neurology (2.4k citations) and Physiology (2.7k citations). Eizo Iseki has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Kenji Kosaka, Takashi Togo, Haruhiko Akiyama, Masanori Kato, Omi Katsuse, Wami Marui, Hiroshige Fujishiro, Heii Arai, Hiromi Kondo and Kiyoshi Sato. Their work appears in journals such as Journal of Biological Chemistry, Annals of Neurology and Brain 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.