Masaki Fujieda
- Pharmacology top 0.5%
- Pharmacogenetics and Drug Metabolism 18
- Inflammatory mediators and NSAID effects 5
- Biochemistry top 5%
- Oncology top 10%
- Drug Transport and Resistance Mechanisms 9
- Bone health and treatments 7
- Clinical Biochemistry top 10%
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- Bone Metabolism and Diseases 6
- Genomics, phytochemicals, and oxidative stress 4
- Glutathione Transferases and Polymorphisms 3
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- Carcinogens and Genotoxicity Assessment 2
- Co-authors
- Tetsuya KamatakiHiroshi YamazakiKazuma KiyotaniHiroyuki KanekiHideo KunitohYoshiki TakahashiShunsuke IwanoTakashi Ishizaki
- Cited by
- PharmacologyBiochemistryOncology
- Journals
- Biochemical and Biophysical Research Communications (1 paper)Molecular Pharmacology (1 paper)Life Sciences (1 paper)
- Partner nations
- JapanUnited StatesThailand
In The Last Decade
Masaki Fujieda
31 papers receiving 952 citations
Peers
Comparison fields: 5 of 86
- Pharmacology 506
- Biochemistry 92
- Oncology 312
- Clinical Biochemistry 56
- Molecular Biology 428
Countries citing papers authored by Masaki Fujieda
This map shows the geographic impact of Masaki Fujieda'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 Masaki Fujieda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masaki Fujieda more than expected).
Fields of papers citing papers by Masaki Fujieda
This network shows the impact of papers produced by Masaki Fujieda. 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 Masaki Fujieda. The network helps show where Masaki Fujieda may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Masaki Fujieda, 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 | 2008 | 12 | |
| 2 | 2007 | 31 | |
| 3 | 2006 | 34 | |
| 4 | 2006 | 32 | |
| 5 | 2005 | 30 | |
| 6 | 2005 | 36 | |
| 7 | 2005 | 23 | |
| 8 | 2004 | 169 | |
| 9 | 2004 | 78 | |
| 10 | 2004 | 49 | |
| 11 | 2003 | 58 | |
| 12 | 2003 | 2 | |
| 13 | 2003 | 30 | |
| 14 | 2003 | 21 | |
| 15 | 2003 | 25 | |
| 16 | 2002 | 4 | |
| 17 | 2002 | 31 | |
| 18 | 2002 | 102 | |
| 19 | 1999 | 6 | |
| 20 | 1998 | 12 |
About Masaki Fujieda
Masaki Fujieda is a scholar working on Pharmacology, Oncology and Biochemistry, having authored 32 papers that have together received 968 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (18 papers), Drug Transport and Resistance Mechanisms (9 papers), Bone health and treatments (7 papers), Bone Metabolism and Diseases (6 papers), Inflammatory mediators and NSAID effects (5 papers), Genomics, phytochemicals, and oxidative stress (4 papers), Glutathione Transferases and Polymorphisms (3 papers) and Carcinogens and Genotoxicity Assessment (2 papers). The work is most often cited by research in Pharmacology (506 citations), Biochemistry (92 citations) and Oncology (312 citations). Masaki Fujieda has collaborated with scholars based in Japan, United States and Thailand. Frequent co-authors include Tetsuya Kamataki, Hiroshi Yamazaki, Kazuma Kiyotani, Hiroyuki Kaneki, Hideo Kunitoh, Yoshiki Takahashi, Shunsuke Iwano, Takashi Ishizaki, Kazuko Nakagawa and Keiko Matsumura. Their work appears in journals such as Biochemical and Biophysical Research Communications, Molecular Pharmacology and Life Sciences.
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.