Akira Tani
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- Neuroinflammation and Neurodegeneration Mechanisms 7
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- Nuclear Physics and Applications 6
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- Oral microbiology and periodontitis research 5
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- Diabetes Treatment and Management 4
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- Metabolism, Diabetes, and Cancer 3
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- Radioactive element chemistry and processing 3
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- Transportation Planning and Optimization 3
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- Neuroscience and Neuropharmacology Research 3
- Co-authors
- Zhe‐Sheng ChenTatsuhiko FurukawaTomoyuki SumizawaSatoshi NagayamaYuji TakebayashiKazuki NakanishiTakashi AikouShin-ichi Akiyama
- Journals
- PLoS ONE (1 paper)JNCI Journal of the National Cancer Institute (1 paper)Scientific Reports (2 papers)
- Partner nations
- JapanThailandUnited States
In The Last Decade
Akira Tani
40 papers receiving 539 citations
Peers
Comparison fields: 5 of 121
- Developmental Neuroscience 26
- Oncology 171
- Neurology 51
- Biological Psychiatry 11
- Rehabilitation 28
Countries citing papers authored by Akira Tani
This map shows the geographic impact of Akira Tani'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 Akira Tani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akira Tani more than expected).
Fields of papers citing papers by Akira Tani
This network shows the impact of papers produced by Akira Tani. 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 Akira Tani. The network helps show where Akira Tani may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Akira Tani, 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 | 1 | |
| 4 | 2025 | 4 | |
| 5 | 2024 | 2 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 8 | |
| 8 | 2023 | 3 | |
| 9 | 2022 | 7 | |
| 10 | 2021 | 1 | |
| 11 | 2021 | 17 | |
| 12 | 2021 | 10 | |
| 13 | 2020 | 37 | |
| 14 | 1999 | 164 | |
| 15 | 1995 | 35 | |
| 16 | 1990 | 4 | |
| 17 | NDA measurement of the enrichment of uranium in the pipe for a gas centrifuge enrichment plant | 1986 | 0 |
| 18 | 1978 | 0 | |
| 19 | 1963 | 4 | |
| 20 | 1963 | 12 |
About Akira Tani
Akira Tani is a scholar working on Microbiology, Periodontics and Neurology, having authored 49 papers that have together received 556 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Nuclear Physics and Applications (6 papers), Oral microbiology and periodontitis research (5 papers), Diabetes Treatment and Management (4 papers), Metabolism, Diabetes, and Cancer (3 papers), Radioactive element chemistry and processing (3 papers), Transportation Planning and Optimization (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). The work is most often cited by research in Developmental Neuroscience (26 citations), Oncology (171 citations) and Neurology (51 citations). Akira Tani has collaborated with scholars based in Japan, Thailand and United States. Frequent co-authors include Zhe‐Sheng Chen, Tatsuhiko Furukawa, Tomoyuki Sumizawa, Satoshi Nagayama, Yuji Takebayashi, Kazuki Nakanishi, Takashi Aikou, Shin-ichi Akiyama, Masaki Kitazono and Sonshin Takao. Their work appears in journals such as PLoS ONE, JNCI Journal of the National Cancer Institute 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.