Fumitaka Kawakami
- Neurology top 5%
- Parkinson's Disease Mechanisms and Treatments 13
- Neurological diseases and metabolism 2
- Neurology top 10%
- Parkinson's Disease Mechanisms and Treatments 13
- Neurological diseases and metabolism 2
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- Alzheimer's disease research and treatments 8
- Dermatology top 10%
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- Plant Gene Expression Analysis 4
- Genomics, phytochemicals, and oxidative stress 3
- Protein Kinase Regulation and GTPase Signaling 3
- Metabolism, Diabetes, and Cancer 3
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- Cancer, Hypoxia, and Metabolism 3
- Co-authors
- Hiroko MaruyamaEtsuro OhtaTakafumi IchikawaFumiya ObataTatsunori MaekawaNaoki ShimadaMakoto KuboRei Kawashima
- Cited by
- NeurologyPhysiology
- Journals
- Biological and Pharmaceutical Bulletin (6 papers)International Journal of Molecular Sciences (5 papers)Biochimica et Biophysica Acta (BBA) - General Subjects (3 papers)
- Partner nations
- JapanThailandUnited States
In The Last Decade
Fumitaka Kawakami
45 papers receiving 721 citations
Peers
Comparison fields: 5 of 92
- Neurology 284
- Neurology 86
- Physiology 172
- Cell Biology 97
- Dermatology 50
Countries citing papers authored by Fumitaka Kawakami
This map shows the geographic impact of Fumitaka Kawakami'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 Fumitaka Kawakami with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fumitaka Kawakami more than expected).
Fields of papers citing papers by Fumitaka Kawakami
This network shows the impact of papers produced by Fumitaka Kawakami. 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 Fumitaka Kawakami. The network helps show where Fumitaka Kawakami may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Fumitaka Kawakami, 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 | 2024 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 5 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 1 | |
| 8 | 2023 | 29 | |
| 9 | 2023 | 5 | |
| 10 | 2023 | 4 | |
| 11 | 2023 | 6 | |
| 12 | 2022 | 14 | |
| 13 | 2020 | 3 | |
| 14 | 2017 | 9 | |
| 15 | 2015 | 12 | |
| 16 | 2013 | 51 | |
| 17 | 2012 | 12 | |
| 18 | 2010 | 33 | |
| 19 | 2009 | 23 | |
| 20 | 2005 | 18 |
About Fumitaka Kawakami
Fumitaka Kawakami is a scholar working on Neurology, Aging and Neurology, having authored 50 papers that have together received 726 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (13 papers), Alzheimer's disease research and treatments (8 papers), Plant Gene Expression Analysis (4 papers), Genomics, phytochemicals, and oxidative stress (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Metabolism, Diabetes, and Cancer (3 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Neurological diseases and metabolism (2 papers). The work is most often cited by research in Neurology (284 citations), Neurology (86 citations) and Physiology (172 citations). Fumitaka Kawakami has collaborated with scholars based in Japan, Thailand and United States. Frequent co-authors include Hiroko Maruyama, Etsuro Ohta, Takafumi Ichikawa, Fumiya Obata, Tatsunori Maekawa, Naoki Shimada, Makoto Kubo, Rei Kawashima, Thet‐Thet Lwin and Go Kagiya. Their work appears in journals such as Biological and Pharmaceutical Bulletin, International Journal of Molecular Sciences, Biochimica et Biophysica Acta (BBA) - General Subjects, Frontiers in Pharmacology and Scientific Reports.
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.