Daisuke Kamei
Impact in
- Pharmacology top 0.5%
- Inflammatory mediators and NSAID effects
- Biochemistry top 2%
- Eicosanoids and Hypertension Pharmacology
Papers in
- Pharmacology 15
- Inflammatory mediators and NSAID effects 14
- Pharmacy and Medical Practices 2
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- RNA Research and Splicing 5
- RNA modifications and cancer 5
- S100 Proteins and Annexins 2
- Co-authors
- Makoto Murakami (12 shared papers)Ichiro Kudo (10 shared papers)Yukio Ishikawa (6 shared papers)Toshiharu Ishii (6 shared papers)Yoshihito Nakatani (8 shared papers)Shuntaro Hara (7 shared papers)Seiko Masuda (2 shared papers)Satoshi Uematsu (6 shared papers)
- Journals
- Journal of Biological Chemistry (6 papers)Gene (3 papers)Biochemical and Biophysical Research Communications (2 papers)Anticancer Research (2 papers)Journal of Medicinal Chemistry (1 paper)
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
Daisuke Kamei
33 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 99
- Pharmacology 798
- Biochemistry 198
- Cancer Research 210
- Genetics 356
- Molecular Biology 684
Countries citing papers authored by Daisuke Kamei
This map shows the geographic impact of Daisuke Kamei'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 Daisuke Kamei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daisuke Kamei more than expected).
Fields of papers citing papers by Daisuke Kamei
This network shows the impact of papers produced by Daisuke Kamei. 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 Daisuke Kamei. The network helps show where Daisuke Kamei may publish in the future.
Co-authors
The 25 scholars most cited alongside Daisuke Kamei, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 299 | |
| 2 | 2004 | 247 | |
| 3 | 2003 | 167 | |
| 4 | 2010 | 125 | |
| 5 | 2009 | 111 | |
| 6 | 2005 | 95 | |
| 7 | 2011 | 80 | |
| 8 | 2002 | 61 | |
| 9 | 2011 | 61 | |
| 10 | 2009 | 58 | |
| 11 | 2011 | 45 | |
| 12 | 2005 | 42 | |
| 13 | 2013 | 41 | |
| 14 | 2018 | 39 | |
| 15 | 1998 | 30 | |
| 16 | 2007 | 25 | |
| 17 | 2011 | 25 | |
| 18 | 2012 | 25 | |
| 19 | 2018 | 24 | |
| 20 | 1999 | 24 |
About Daisuke Kamei
Daisuke Kamei is a scholar working on Pharmacology, Molecular Biology, Genetics, Cancer Research and Oncology, having authored 33 papers that have together received 1.7k indexed citations. Recurring topics across this work include Inflammatory mediators and NSAID effects (14 papers), Estrogen and related hormone effects (8 papers), RNA Research and Splicing (5 papers), NF-κB Signaling Pathways (5 papers), RNA modifications and cancer (5 papers), S100 Proteins and Annexins (2 papers), Cancer Treatment and Pharmacology (2 papers) and Pharmacy and Medical Practices (2 papers). The work is most often cited by research in Pharmacology (798 citations), Biochemistry (198 citations), Cancer Research (210 citations), Genetics (356 citations) and Molecular Biology (684 citations). Daisuke Kamei has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Makoto Murakami, Ichiro Kudo, Yukio Ishikawa, Toshiharu Ishii, Yoshihito Nakatani, Shuntaro Hara, Seiko Masuda, Satoshi Uematsu, Yuka Sasaki and Yoshihiro Ohmiya. Their work appears in journals such as Journal of Biological Chemistry, Gene, Biochemical and Biophysical Research Communications, Anticancer Research and Journal of Medicinal Chemistry.
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.