Yasushi Kikuta
- Biochemistry top 2%
- Eicosanoids and Hypertension Pharmacology 9
- Pharmacology top 2%
- Pharmacogenetics and Drug Metabolism 13
- Inflammatory mediators and NSAID effects 7
- Pharmacology top 10%
- Pharmacogenetics and Drug Metabolism 13
- Inflammatory mediators and NSAID effects 7
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- Drug Transport and Resistance Mechanisms 6
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- Estrogen and related hormone effects 3
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- Peroxisome Proliferator-Activated Receptors 3
- Genomics, phytochemicals, and oxidative stress 1
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- Mast cells and histamine 1
- Co-authors
- Masamichi KusunoseEmi KusunoseYumiko MiyauchiSatoru YamamotoHiroaki KinoshitaYoshiaki YamashitaHenry W. StrobelTakayuki Sugiura
- Cited by
- BiochemistryPharmacology
- Journals
- Journal of Biological Chemistry (1 paper)The FASEB Journal (1 paper)Biochemical and Biophysical Research Communications (2 papers)
- Partner nations
- JapanUnited States
In The Last Decade
Yasushi Kikuta
19 papers receiving 487 citations
Peers
Comparison fields: 5 of 67
- Biochemistry 242
- Pharmacology 245
- Pharmacology 128
- Endocrinology, Diabetes and Metabolism 64
- Oncology 99
Countries citing papers authored by Yasushi Kikuta
This map shows the geographic impact of Yasushi Kikuta'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 Yasushi Kikuta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yasushi Kikuta more than expected).
Fields of papers citing papers by Yasushi Kikuta
This network shows the impact of papers produced by Yasushi Kikuta. 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 Yasushi Kikuta. The network helps show where Yasushi Kikuta may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yasushi Kikuta, 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 | 27 | |
| 2 | 2007 | 7 | |
| 3 | 2007 | 25 | |
| 4 | 2007 | 14 | |
| 5 | 2004 | 21 | |
| 6 | 2002 | 74 | |
| 7 | 2001 | 1 | |
| 8 | 2000 | 20 | |
| 9 | 1999 | 33 | |
| 10 | 1999 | 30 | |
| 11 | 1999 | 36 | |
| 12 | 1998 | 39 | |
| 13 | 1998 | 36 | |
| 14 | 1997 | 7 | |
| 15 | 1997 | 10 | |
| 16 | 1994 | 67 | |
| 17 | 1994 | 24 | |
| 18 | 1990 | 22 | |
| 19 | 1989 | 11 |
About Yasushi Kikuta
Yasushi Kikuta is a scholar working on Biochemistry, Pharmacology and Pharmacology, having authored 19 papers that have together received 504 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (13 papers), Eicosanoids and Hypertension Pharmacology (9 papers), Inflammatory mediators and NSAID effects (7 papers), Drug Transport and Resistance Mechanisms (6 papers), Estrogen and related hormone effects (3 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Mast cells and histamine (1 paper) and Genomics, phytochemicals, and oxidative stress (1 paper). The work is most often cited by research in Biochemistry (242 citations), Pharmacology (245 citations) and Pharmacology (128 citations). Yasushi Kikuta has collaborated with scholars based in Japan and United States. Frequent co-authors include Masamichi Kusunose, Emi Kusunose, Yumiko Miyauchi, Satoru Yamamoto, Hiroaki Kinoshita, Yoshiaki Yamashita, Henry W. Strobel, Takayuki Sugiura, Tamotsu Tanaka and Jun‐ichi Morishige. Their work appears in journals such as Journal of Biological Chemistry, The FASEB Journal and Biochemical and Biophysical Research 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.