Daisuke Takahashi
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- Vitamin D Research Studies 4
- Cell Biology top 10%
- Endoplasmic Reticulum Stress and Disease 5
- Pharmacology top 10%
- Nephrology top 10%
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- Protein Kinase Regulation and GTPase Signaling 7
- DNA Repair Mechanisms 5
- Genomics and Chromatin Dynamics 4
- DNA and Nucleic Acid Chemistry 3
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- Lipid metabolism and biosynthesis 4
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- Pancreatic function and diabetes 3
- Co-authors
- Fumio SakaneMitsuyoshi UrashimaMasayuki YoshiokaM MurakamiMasaya HashimotoMasahiko SuzukiSatoru MizunoHiromichi Sakai
- Journals
- Nucleic Acids Research (2 papers)Applied Physics Letters (1 paper)American Journal of Clinical Nutrition (1 paper)
- Partner nations
- JapanUnited StatesSwitzerland
In The Last Decade
Daisuke Takahashi
65 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 113
- Pathology and Forensic Medicine 277
- Cell Biology 194
- Biological Psychiatry 28
- Pharmacology 79
- Nephrology 60
Countries citing papers authored by Daisuke Takahashi
This map shows the geographic impact of Daisuke Takahashi'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 Takahashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daisuke Takahashi more than expected).
Fields of papers citing papers by Daisuke Takahashi
This network shows the impact of papers produced by Daisuke Takahashi. 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 Takahashi. The network helps show where Daisuke Takahashi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daisuke Takahashi, 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 | 2022 | 5 | |
| 2 | 2021 | 2 | |
| 3 | 2021 | 11 | |
| 4 | 2020 | 12 | |
| 5 | 2019 | 18 | |
| 6 | 2019 | 9 | |
| 7 | 2018 | 3 | |
| 8 | 2017 | 62 | |
| 9 | 2016 | 17 | |
| 10 | 2015 | 36 | |
| 11 | 2014 | 4 | |
| 12 | 2013 | 166 | |
| 13 | 2011 | 0 | |
| 14 | 2011 | 84 | |
| 15 | 2010 | 74 | |
| 16 | 2010 | 3 | |
| 17 | 2009 | 28 | |
| 18 | 2007 | 29 | |
| 19 | 40266 Development of the Calculating Method of Cold and Hot Water Consumption based on the Fixture Usage in the Time Series through a Day : Part 4 Analysis on the Loads of Water Supply Demands in the Restaurants of a Complex Commercial Building | 2004 | 1 |
| 20 | 1996 | 1 |
About Daisuke Takahashi
Daisuke Takahashi is a scholar working on Cell Biology, Nephrology and Biochemistry, having authored 67 papers that have together received 1.2k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (7 papers), DNA Repair Mechanisms (5 papers), Endoplasmic Reticulum Stress and Disease (5 papers), Vitamin D Research Studies (4 papers), Genomics and Chromatin Dynamics (4 papers), Lipid metabolism and biosynthesis (4 papers), DNA and Nucleic Acid Chemistry (3 papers) and Pancreatic function and diabetes (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (277 citations), Cell Biology (194 citations) and Biological Psychiatry (28 citations). Daisuke Takahashi has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Fumio Sakane, Mitsuyoshi Urashima, Masayuki Yoshioka, M Murakami, Masaya Hashimoto, Masahiko Suzuki, Satoru Mizuno, Hiromichi Sakai, Keiichi Kawasaki and Tsuyoshi Izumi. Their work appears in journals such as Nucleic Acids Research, Applied Physics Letters and American Journal of Clinical Nutrition.
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.