Keisuke Imada
Impact in
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- Natural Compounds in Disease Treatment
- Biochemistry top 10%
- Phytochemicals and Antioxidant Activities
Papers in
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- Signaling Pathways in Disease 2
- Natural product bioactivities and synthesis 2
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- Protease and Inhibitor Mechanisms 4
- Co-authors
- Akira Itô (13 shared papers)Takashi Sato (11 shared papers)Na Lin (2 shared papers)Chunfang Liu (2 shared papers)Masamichi Yano (2 shared papers)Yo Mori (3 shared papers)Hao Wu (1 shared paper)Cheng Xiao (1 shared paper)
- Journals
- Biological and Pharmaceutical Bulletin (4 papers)Biochemical and Biophysical Research Communications (4 papers)FEBS Letters (2 papers)IEEJ Transactions on Industry Applications (1 paper)Biology of Reproduction (1 paper)
- Partner nations
- JapanChinaUnited States
In The Last Decade
Keisuke Imada
16 papers receiving 466 citations
Peers
Comparison fields: 5 of 75
- Complementary and alternative medicine 95
- Biochemistry 59
- Rheumatology 90
- Pharmacology 36
- Cancer Research 57
Countries citing papers authored by Keisuke Imada
This map shows the geographic impact of Keisuke Imada'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 Keisuke Imada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keisuke Imada more than expected).
Fields of papers citing papers by Keisuke Imada
This network shows the impact of papers produced by Keisuke Imada. 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 Keisuke Imada. The network helps show where Keisuke Imada may publish in the future.
Co-authors
The 25 scholars most cited alongside Keisuke Imada, 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 | 2006 | 105 | |
| 2 | 2007 | 80 | |
| 3 | 1997 | 64 | |
| 4 | 2008 | 52 | |
| 5 | 2010 | 48 | |
| 6 | 2009 | 26 | |
| 7 | 1994 | 22 | |
| 8 | 2021 | 19 | |
| 9 | 1997 | 16 | |
| 10 | 2018 | 13 | |
| 11 | 2011 | 11 | |
| 12 | 2002 | 9 | |
| 13 | 2000 | 8 | |
| 14 | 2016 | 7 | |
| 15 | 2017 | 4 | |
| 16 | 2020 | 2 |
About Keisuke Imada
Keisuke Imada is a scholar working on Molecular Biology, Cancer Research, Rheumatology, Hematology and Immunology, having authored 16 papers that have together received 486 indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (4 papers), Natural Compounds in Disease Treatment (3 papers), Preterm Birth and Chorioamnionitis (3 papers), Blood Coagulation and Thrombosis Mechanisms (3 papers), Peptidase Inhibition and Analysis (2 papers), Signaling Pathways in Disease (2 papers), Osteoarthritis Treatment and Mechanisms (2 papers) and Natural product bioactivities and synthesis (2 papers). The work is most often cited by research in Complementary and alternative medicine (95 citations), Biochemistry (59 citations), Rheumatology (90 citations), Pharmacology (36 citations) and Cancer Research (57 citations). Keisuke Imada has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Akira Itô, Takashi Sato, Na Lin, Chunfang Liu, Masamichi Yano, Yo Mori, Hao Wu, Cheng Xiao, Hongwei Jia and Yoshiki Miyata. Their work appears in journals such as Biological and Pharmaceutical Bulletin, Biochemical and Biophysical Research Communications, FEBS Letters, IEEJ Transactions on Industry Applications and Biology of Reproduction.
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.