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 16
- CRISPR and Genetic Engineering 13
- Renal and related cancers 3
- ATP Synthase and ATPases Research 2
- Mitochondrial Function and Pathology 2
-
- 3D Printing in Biomedical Research 8
- Co-authors
- Yoji Sato (24 shared papers)Satoshi Yasuda (24 shared papers)Shinji Kusakawa (11 shared papers)Shin Kawamata (5 shared papers)Keiko Tano (4 shared papers)Satoko Matsuyama (8 shared papers)Osamu Kuge (2 shared papers)Akihiro Umezawa (4 shared papers)
- Journals
- Scientific Reports (10 papers)Cytotherapy (3 papers)PLoS ONE (3 papers)Stem Cells Translational Medicine (2 papers)Cell Metabolism (2 papers)
- Partner nations
- JapanUnited StatesArgentina
In The Last Decade
Takuya Kuroda
32 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 94
- Sensory Systems 78
- Molecular Biology 717
- 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-authors
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
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 182 | |
| 2 | 2013 | 124 | |
| 3 | 2012 | 112 | |
| 4 | 2016 | 86 | |
| 5 | 2016 | 69 | |
| 6 | 2018 | 64 | |
| 7 | 2013 | 50 | |
| 8 | 2015 | 39 | |
| 9 | 2014 | 39 | |
| 10 | 2015 | 35 | |
| 11 | 2015 | 33 | |
| 12 | 2015 | 33 | |
| 13 | 2011 | 31 | |
| 14 | 2019 | 26 | |
| 15 | 2017 | 21 | |
| 16 | 2002 | 16 | |
| 17 | 2020 | 14 | |
| 18 | 2003 | 12 | |
| 19 | 2019 | 12 | |
| 20 | 2014 | 12 |
About Takuya Kuroda
Takuya Kuroda is a scholar working on Molecular Biology, Biomedical Engineering, Artificial Intelligence, Genetics and Cardiology and Cardiovascular Medicine, having authored 33 papers that have together received 1.0k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (16 papers), CRISPR and Genetic Engineering (13 papers), 3D Printing in Biomedical Research (8 papers), Evolutionary Algorithms and Applications (4 papers), Fuzzy Logic and Control Systems (3 papers), Renal and related cancers (3 papers), ATP Synthase and ATPases Research (2 papers) and Mitochondrial Function and Pathology (2 papers). The work is most often cited by research in Sensory Systems (78 citations), Molecular Biology (717 citations), Clinical Biochemistry (51 citations), Aging (10 citations) and Biochemistry (40 citations). Takuya Kuroda has collaborated with scholars based in Japan, United States and Argentina. Frequent co-authors include Yoji Sato, Satoshi Yasuda, Shinji Kusakawa, Shin Kawamata, Keiko Tano, Satoko Matsuyama, Osamu Kuge, Akihiro Umezawa, Akifumi Matsuyama and Yasunari Kanda. Their work appears in journals such as Scientific Reports, Cytotherapy, PLoS ONE, Stem Cells Translational Medicine and Cell Metabolism.
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.