S. Akai
Impact in
- Pharmacology top 5%
- Drug-Induced Hepatotoxicity and Protection
- Pharmacogenetics and Drug Metabolism
- Inflammatory mediators and NSAID effects
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- Liver physiology and pathology
Papers in
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- Powdery Mildew Fungal Diseases 6
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- Plant Pathogens and Fungal Diseases 8
- Co-authors
- Tsuyoshi Yokoi (13 shared papers)Koichi Tsuneyama (7 shared papers)Shingo Oda (10 shared papers)Miki Nakajima (3 shared papers)Masao Fukutomi (4 shared papers)H. Kunoh (5 shared papers)Norio Ishida (1 shared paper)Miki Katoh (1 shared paper)
- Journals
- Mycopathologia (4 papers)Toxicology Letters (3 papers)Mycologia (2 papers)Toxicology and Applied Pharmacology (2 papers)Toxicology in Vitro (1 paper)
- Partner nations
- JapanUnited States
In The Last Decade
S. Akai
30 papers receiving 352 citations
Peers
Comparison fields: 5 of 71
- Pharmacology 113
- Hepatology 29
- Cell Biology 49
- Biochemistry 17
- Cancer Research 31
Countries citing papers authored by S. Akai
This map shows the geographic impact of S. Akai'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 S. Akai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Akai more than expected).
Fields of papers citing papers by S. Akai
This network shows the impact of papers produced by S. Akai. 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 S. Akai. The network helps show where S. Akai may publish in the future.
Co-authors
The 25 scholars most cited alongside S. Akai, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 35 | |
| 2 | 2007 | 35 | |
| 3 | 2016 | 26 | |
| 4 | 2015 | 24 | |
| 5 | 1968 | 24 | |
| 6 | 1991 | 23 | |
| 7 | 2009 | 21 | |
| 8 | 2016 | 20 | |
| 9 | 2018 | 19 | |
| 10 | Further resolution of human alpha-fetoprotein by affinity electrophoresis with erythroagglutinating phytohemagglutinin of Phaseolus vulgaris lectin. | 1985 | 17 |
| 11 | 1969 | 16 | |
| 12 | 2018 | 13 | |
| 13 | 2019 | 11 | |
| 14 | 2016 | 11 | |
| 15 | 1968 | 11 | |
| 16 | 2019 | 9 | |
| 17 | 2017 | 8 | |
| 18 | 1968 | 7 | |
| 19 | 1969 | 6 | |
| 20 | 1966 | 5 |
About S. Akai
S. Akai is a scholar working on Plant Science, Cell Biology, Molecular Biology, Oncology and Pharmacology, having authored 32 papers that have together received 371 indexed citations. Recurring topics across this work include Plant Pathogens and Fungal Diseases (8 papers), Powdery Mildew Fungal Diseases (6 papers), Drug-Induced Hepatotoxicity and Protection (5 papers), Pharmacogenetics and Drug Metabolism (5 papers), Muscle and Compartmental Disorders (3 papers), Plant and Fungal Interactions Research (2 papers), Cardiovascular Effects of Exercise (2 papers) and Liver physiology and pathology (2 papers). The work is most often cited by research in Pharmacology (113 citations), Hepatology (29 citations), Cell Biology (49 citations), Biochemistry (17 citations) and Cancer Research (31 citations). S. Akai has collaborated with scholars based in Japan and United States. Frequent co-authors include Tsuyoshi Yokoi, Koichi Tsuneyama, Shingo Oda, Miki Nakajima, Masao Fukutomi, H. Kunoh, Norio Ishida, Miki Katoh, Akiko Matsubara and Hiroshi Hyodo. Their work appears in journals such as Mycopathologia, Toxicology Letters, Mycologia, Toxicology and Applied Pharmacology and Toxicology in Vitro.
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.