Satoshi Tanikawa
Impact in
- Physiology top 10%
- Magnetic and Electromagnetic Effects
Papers in
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- Genomics and Phylogenetic Studies 2
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- Parkinson's Disease Mechanisms and Treatments 5
- Co-authors
- Nobuyuki Fujita (4 shared papers)Takashi Horie (2 shared papers)Tomohiro Yano (1 shared paper)Mitsuo Sekine (3 shared papers)Shigeaki Harayama (3 shared papers)Shinya Tanaka (17 shared papers)Takatomo Fujisawa (2 shared papers)Hidekazu Nakazawa (2 shared papers)
- Journals
- Pathology International (3 papers)Neuropathology (3 papers)Biochemical and Biophysical Research Communications (2 papers)Scientific Reports (1 paper)Acta Neuropathologica Communications (1 paper)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Satoshi Tanikawa
27 papers receiving 542 citations
Peers
Comparison fields: 5 of 102
- Microbiology 6
- Physiology 35
- Endocrinology 34
- Cancer Research 83
- Biological Psychiatry 13
Countries citing papers authored by Satoshi Tanikawa
This map shows the geographic impact of Satoshi Tanikawa'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 Satoshi Tanikawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Satoshi Tanikawa more than expected).
Fields of papers citing papers by Satoshi Tanikawa
This network shows the impact of papers produced by Satoshi Tanikawa. 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 Satoshi Tanikawa. The network helps show where Satoshi Tanikawa may publish in the future.
Co-authors
The 25 scholars most cited alongside Satoshi Tanikawa, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 113 | |
| 2 | 2009 | 85 | |
| 3 | 2000 | 81 | |
| 4 | 2008 | 67 | |
| 5 | 2018 | 53 | |
| 6 | 2012 | 35 | |
| 7 | 2012 | 24 | |
| 8 | 2023 | 17 | |
| 9 | 2005 | 16 | |
| 10 | 2021 | 11 | |
| 11 | 2005 | 8 | |
| 12 | 2016 | 7 | |
| 13 | 2022 | 6 | |
| 14 | 2020 | 6 | |
| 15 | 2024 | 4 | |
| 16 | 2023 | 3 | |
| 17 | 2019 | 3 | |
| 18 | 2023 | 2 | |
| 19 | 2021 | 2 | |
| 20 | 2022 | 2 |
About Satoshi Tanikawa
Satoshi Tanikawa is a scholar working on Molecular Biology, Neurology, Pulmonary and Respiratory Medicine, Rheumatology and Cellular and Molecular Neuroscience, having authored 30 papers that have together received 553 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (5 papers), Lysosomal Storage Disorders Research (3 papers), Soft tissue tumor case studies (3 papers), Alzheimer's disease research and treatments (2 papers), Neuroscience and Neural Engineering (2 papers), Genomics and Phylogenetic Studies (2 papers), Microbial bioremediation and biosurfactants (2 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Microbiology (6 citations), Physiology (35 citations), Endocrinology (34 citations), Cancer Research (83 citations) and Biological Psychiatry (13 citations). Satoshi Tanikawa has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Nobuyuki Fujita, Takashi Horie, Tomohiro Yano, Mitsuo Sekine, Shigeaki Harayama, Shinya Tanaka, Takatomo Fujisawa, Hidekazu Nakazawa, Masumi Tsuda and Hitomi Narita. Their work appears in journals such as Pathology International, Neuropathology, Biochemical and Biophysical Research Communications, Scientific Reports and Acta Neuropathologica Communications.
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.