Tsukasa Kadota
- Molecular Biology top 10%
- Pulmonary and Respiratory Medicine top 5%
- Cancer Research top 5%
- Immunology
- Epidemiology
- Co-authors
- Yu FujitaKazuyoshi KuwanoTakahiro OchiyaJun ArayaYusuke YoshiokaHiromichi HaraYusuke YamamotoShota Fujimoto
- Topics
- Extracellular vesicles in disease (13 papers)MicroRNA in disease regulation (7 papers)Circular RNAs in diseases (6 papers)
- Journals
- International Journal of Molecular SciencesCell stem cellAmerican Journal of Respiratory Cell and Molecular Biology
- Partner nations
- JapanUnited KingdomUnited States
In The Last Decade
Tsukasa Kadota
24 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 90
- Molecular Biology 828
- Pulmonary and Respiratory Medicine 449
- Cancer Research 423
- Immunology 130
- Epidemiology 125
Countries citing papers authored by Tsukasa Kadota
This map shows the geographic impact of Tsukasa Kadota'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 Tsukasa Kadota with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tsukasa Kadota more than expected).
Fields of papers citing papers by Tsukasa Kadota
This network shows the impact of papers produced by Tsukasa Kadota. 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 Tsukasa Kadota. The network helps show where Tsukasa Kadota may publish in the future.
Co-authorship network of co-authors of Tsukasa Kadota
This figure shows the co-authorship network connecting the top 25 collaborators of Tsukasa Kadota. A scholar is included among the top collaborators of Tsukasa Kadota based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tsukasa Kadota. Tsukasa Kadota is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 15 | |
| 3 | 9 | |
| 4 | 1 | |
| 5 | 20 | |
| 6 | 0 | |
| 7 | 37 | |
| 8 | 27 | |
| 9 | 127 | |
| 10 | 94 | |
| 11 | 86 | |
| 12 | 138 | |
| 13 | 2 | |
| 14 | 49 | |
| 15 | 144 | |
| 16 | 47 | |
| 17 | 41 | |
| 18 | 193 | |
| 19 | 6 | |
| 20 | Loss of amplified c-myc genes in the spontaneously differentiated HL-60 cells. | 54 |
About Tsukasa Kadota
Tsukasa Kadota is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 26 papers that have together received 1.2k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (13 papers), MicroRNA in disease regulation (7 papers) and Circular RNAs in diseases (6 papers). The work is most often cited by research in Cancer Research (423 citations), Pulmonary and Respiratory Medicine (449 citations) and Molecular Biology (828 citations). Tsukasa Kadota has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Yu Fujita, Kazuyoshi Kuwano, Takahiro Ochiya, Jun Araya, Yusuke Yoshioka, Hiromichi Hara, Yusuke Yamamoto, Shota Fujimoto, Shunsuke Minagawa and Saburo Ito. Their work appears in journals such as International Journal of Molecular Sciences, Cell stem cell and American Journal of Respiratory Cell and Molecular Biology.
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.