Masahiko Kushida
- Pharmacology top 5%
- Pharmacogenetics and Drug Metabolism 4
- Cancer Research top 10%
- Carcinogens and Genotoxicity Assessment 5
- MicroRNA in disease regulation 2
- Biochemistry top 10%
- Eicosanoids and Hypertension Pharmacology 2
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- Genomics, phytochemicals, and oxidative stress 3
- Kruppel-like factors research 3
- Ion channel regulation and function 3
- Mitochondrial Function and Pathology 2
- Co-authors
- Kayo SumidaHideki WanibuchiKeiichirou MorimuraTomoya YamadaSatoshi KawamuraSatoshi UwagawaTokuo SukataShoji Fukushima
- Journals
- Journal of Biological Chemistry (1 paper)The Journal of Immunology (1 paper)American Journal Of Pathology (1 paper)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Masahiko Kushida
29 papers receiving 597 citations
Peers
Comparison fields: 5 of 90
- Pharmacology 142
- Cancer Research 190
- Biochemistry 48
- Health, Toxicology and Mutagenesis 66
- Molecular Biology 286
Countries citing papers authored by Masahiko Kushida
This map shows the geographic impact of Masahiko Kushida'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 Masahiko Kushida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masahiko Kushida more than expected).
Fields of papers citing papers by Masahiko Kushida
This network shows the impact of papers produced by Masahiko Kushida. 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 Masahiko Kushida. The network helps show where Masahiko Kushida may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Masahiko Kushida, 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 | 2017 | 17 | |
| 2 | 2017 | 22 | |
| 3 | 2017 | 14 | |
| 4 | 2016 | 0 | |
| 5 | 2015 | 14 | |
| 6 | 2014 | 61 | |
| 7 | 2014 | 11 | |
| 8 | 2011 | 36 | |
| 9 | 2010 | 53 | |
| 10 | 2009 | 61 | |
| 11 | 2005 | 14 | |
| 12 | 2005 | 71 | |
| 13 | 2005 | 44 | |
| 14 | 2005 | 23 | |
| 15 | 2004 | 1 | |
| 16 | 2004 | 21 | |
| 17 | 2004 | 19 | |
| 18 | 2003 | 5 | |
| 19 | 2003 | 5 | |
| 20 | 1997 | 26 |
About Masahiko Kushida
Masahiko Kushida is a scholar working on Cancer Research, Pharmacology and Physiology, having authored 30 papers that have together received 610 indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (5 papers), Pharmacogenetics and Drug Metabolism (4 papers), Genomics, phytochemicals, and oxidative stress (3 papers), Kruppel-like factors research (3 papers), Ion channel regulation and function (3 papers), Mitochondrial Function and Pathology (2 papers), Eicosanoids and Hypertension Pharmacology (2 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Pharmacology (142 citations), Cancer Research (190 citations) and Biochemistry (48 citations). Masahiko Kushida has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Kayo Sumida, Hideki Wanibuchi, Keiichirou Morimura, Tomoya Yamada, Satoshi Kawamura, Satoshi Uwagawa, Tokuo Sukata, Shoji Fukushima, Kaori Miyata and Anna Kinoshita. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Immunology and American Journal Of Pathology.
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.