Daisuke Takei
Impact in
- Cell Biology top 5%
- Endoplasmic Reticulum Stress and Disease
- Physiology top 10%
- Adenosine and Purinergic Signaling
Papers in
- Surgery 3
- Pancreatic function and diabetes 2
- Co-authors
- Yoshitomo Oka (4 shared papers)Suguru Yamaguchi (4 shared papers)Akira Tamura (4 shared papers)Hisamitsu Ishihara (4 shared papers)Takahiro Yamada (3 shared papers)Hideki Katagiri (3 shared papers)Rui Takahashi (3 shared papers)Yoshio Maruyama (1 shared paper)
- Journals
- American Journal of Physiology-Endocrinology and Metabolism (1 paper)Journal of Hepato-Biliary-Pancreatic Sciences (1 paper)Human Molecular Genetics (1 paper)Biotechnology Letters (1 paper)Journal of Clinical and Experimental Hematopathology (1 paper)
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Daisuke Takei
11 papers receiving 482 citations
Peers
Comparison fields: 5 of 71
- Cell Biology 278
- Physiology 49
- Genetics 145
- Sensory Systems 18
- Surgery 159
Countries citing papers authored by Daisuke Takei
This map shows the geographic impact of Daisuke Takei'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 Takei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daisuke Takei more than expected).
Fields of papers citing papers by Daisuke Takei
This network shows the impact of papers produced by Daisuke Takei. 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 Takei. The network helps show where Daisuke Takei may publish in the future.
Co-authors
The 25 scholars most cited alongside Daisuke Takei, 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 | 200 | |
| 2 | 2006 | 141 | |
| 3 | 2008 | 46 | |
| 4 | 2004 | 35 | |
| 5 | 2019 | 25 | |
| 6 | 2008 | 11 | |
| 7 | 2005 | 9 | |
| 8 | 2021 | 8 | |
| 9 | 2017 | 8 | |
| 10 | 2024 | 2 | |
| 11 | 2025 | 1 | |
| 12 | 2024 | 0 |
About Daisuke Takei
Daisuke Takei is a scholar working on Molecular Biology, Surgery, Cell Biology, Oncology and Epidemiology, having authored 12 papers that have together received 486 indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Pancreatic function and diabetes (2 papers), Cancer Treatment and Pharmacology (1 paper), Diabetes Management and Research (1 paper), Neuroblastoma Research and Treatments (1 paper), Microbial bioremediation and biosurfactants (1 paper) and Inflammatory Biomarkers in Disease Prognosis (1 paper). The work is most often cited by research in Cell Biology (278 citations), Physiology (49 citations), Genetics (145 citations), Sensory Systems (18 citations) and Surgery (159 citations). Daisuke Takei has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Yoshitomo Oka, Suguru Yamaguchi, Akira Tamura, Hisamitsu Ishihara, Takahiro Yamada, Hideki Katagiri, Rui Takahashi, Yoshio Maruyama, Fumi Tashiro and Hiroyuki Aburatani. Their work appears in journals such as American Journal of Physiology-Endocrinology and Metabolism, Journal of Hepato-Biliary-Pancreatic Sciences, Human Molecular Genetics, Biotechnology Letters and Journal of Clinical and Experimental Hematopathology.
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.