Akira Tokuda
- Cell Biology top 10%
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- Glycosylation and Glycoproteins Research 7
- Lipid Membrane Structure and Behavior 2
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- Respiratory and Cough-Related Research 6
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- Asthma and respiratory diseases 6
- Lysosomal Storage Disorders Research 3
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- Neuroblastoma Research and Treatments 3
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- Ion Channels and Receptors 2
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- Viral Infections and Immunology Research 2
- Co-authors
- Tatsuro MutohNorio FujikiMichinari HamaguchiToshiaki MiyadaiHideo HayashiJin‐ichi InokuchiMasaru KuriyamaGordon Guroff
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (1 paper)The Journal of Experimental Medicine (2 papers)
- Partner nations
- JapanUnited States
In The Last Decade
Akira Tokuda
29 papers receiving 712 citations
Peers
Comparison fields: 5 of 74
- Cell Biology 179
- Cellular and Molecular Neuroscience 141
- Molecular Biology 490
- Developmental Neuroscience 29
- Immunology 147
Countries citing papers authored by Akira Tokuda
This map shows the geographic impact of Akira Tokuda'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 Tokuda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akira Tokuda more than expected).
Fields of papers citing papers by Akira Tokuda
This network shows the impact of papers produced by Akira Tokuda. 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 Tokuda. The network helps show where Akira Tokuda may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Akira Tokuda, 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 | 1 | |
| 2 | 2021 | 1 | |
| 3 | 2011 | 9 | |
| 4 | Predicting performance of cough reflex sensitivity, exhaled nitric oxide (eNO) and bronchial responsiveness for efficacy of bronchodilator therapy on isolated chronic non-productive cough | 2011 | 1 |
| 5 | 2010 | 16 | |
| 6 | 2009 | 4 | |
| 7 | 2009 | 11 | |
| 8 | 2009 | 10 | |
| 9 | 1998 | 19 | |
| 10 | 1998 | 2 | |
| 11 | 1998 | 14 | |
| 12 | 1998 | 71 | |
| 13 | 1998 | 1 | |
| 14 | 1997 | 4 | |
| 15 | 1997 | 12 | |
| 16 | 1994 | 25 | |
| 17 | 1993 | 40 | |
| 18 | Biochemical and morphological studies of radiation injury in tissue culture: a comparison with cellular injury in antigen-antibody reactions. | 1963 | 3 |
| 19 | 1960 | 38 | |
| 20 | 1960 | 29 |
About Akira Tokuda
Akira Tokuda is a scholar working on Microbiology, Sensory Systems and Physiology, having authored 29 papers that have together received 743 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (7 papers), Respiratory and Cough-Related Research (6 papers), Asthma and respiratory diseases (6 papers), Neuroblastoma Research and Treatments (3 papers), Lysosomal Storage Disorders Research (3 papers), Lipid Membrane Structure and Behavior (2 papers), Ion Channels and Receptors (2 papers) and Viral Infections and Immunology Research (2 papers). The work is most often cited by research in Cell Biology (179 citations), Cellular and Molecular Neuroscience (141 citations) and Molecular Biology (490 citations). Akira Tokuda has collaborated with scholars based in Japan and United States. Frequent co-authors include Tatsuro Mutoh, Norio Fujiki, Michinari Hamaguchi, Toshiaki Miyadai, Hideo Hayashi, Jin‐ichi Inokuchi, Masaru Kuriyama, Gordon Guroff, Masaki Fujimura and Noriyuki Ohkura. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Experimental Medicine.
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.