Takuya Kuroda
Impact in
- Sensory Systems top 5%
- Ion Channels and Receptors
- Molecular Biology top 10%
- Pluripotent Stem Cells Research
- CRISPR and Genetic Engineering
- Mitochondrial Function and Pathology
- ATP Synthase and ATPases Research
Papers in
-
- Pluripotent Stem Cells Research 17
- CRISPR and Genetic Engineering 15
- Renal and related cancers 3
- Co-authors
- Yoji SatoSatoshi YasudaShinji KusakawaShin KawamataKeiko TanoSatoko MatsuyamaOsamu KugeAkihiro Umezawa
- Journals
- Scientific Reports (10 papers)PLoS ONE (3 papers)Cell Metabolism (2 papers)Stem Cells Translational Medicine (2 papers)Cytotherapy (2 papers)
- Partner nations
- JapanUnited StatesSwitzerland
In The Last Decade
Takuya Kuroda
31 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 95
- Sensory Systems 75
- Molecular Biology 753
- Clinical Biochemistry 51
- Aging 10
- Biochemistry 40
Countries citing papers authored by Takuya Kuroda
This map shows the geographic impact of Takuya Kuroda'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 Takuya Kuroda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takuya Kuroda more than expected).
Fields of papers citing papers by Takuya Kuroda
This network shows the impact of papers produced by Takuya Kuroda. 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 Takuya Kuroda. The network helps show where Takuya Kuroda may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Takuya Kuroda, 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 | 2024 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 3 | |
| 4 | 2021 | 2 | |
| 5 | 2019 | 11 | |
| 6 | 2019 | 7 | |
| 7 | 2019 | 24 | |
| 8 | 2018 | 63 | |
| 9 | 2018 | 2 | |
| 10 | 2016 | 83 | |
| 11 | 2016 | 66 | |
| 12 | 2015 | 39 | |
| 13 | 2015 | 33 | |
| 14 | 2015 | 33 | |
| 15 | 2015 | 33 | |
| 16 | 2014 | 38 | |
| 17 | 2014 | 12 | |
| 18 | 2013 | 122 | |
| 19 | 2012 | 110 | |
| 20 | 2011 | 31 |
About Takuya Kuroda
Takuya Kuroda is a scholar working on Sensory Systems, Molecular Biology, Biomedical Engineering, Endocrinology and Genetics, having authored 32 papers that have together received 1.0k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (17 papers), CRISPR and Genetic Engineering (15 papers), 3D Printing in Biomedical Research (8 papers), Evolutionary Algorithms and Applications (4 papers), Biomedical Ethics and Regulation (3 papers), Renal and related cancers (3 papers), Fuzzy Logic and Control Systems (3 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Sensory Systems (75 citations), Molecular Biology (753 citations), Clinical Biochemistry (51 citations), Aging (10 citations) and Biochemistry (40 citations). Takuya Kuroda has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Yoji Sato, Satoshi Yasuda, Shinji Kusakawa, Shin Kawamata, Keiko Tano, Satoko Matsuyama, Osamu Kuge, Akihiro Umezawa, Yasuo Mori and Lutz Birnbaumer. Their work appears in journals such as Scientific Reports, PLoS ONE, Cell Metabolism, Stem Cells Translational Medicine and Cytotherapy.
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.