Tadashi Kadowaki
- Artificial Intelligence top 1%
- Atomic and Molecular Physics, and Optics top 5%
- Molecular Biology
- Computational Theory and Mathematics top 2%
- Electrical and Electronic Engineering
- Co-authors
- Hidetoshi NishimoriKoji TsudaHiroto SaigoGozoh TsujimotoTaku KudoAkira YokoiSebastian NowozinTakuji Okusaka
- Topics
- Quantum Computing Algorithms and Architecture (6 papers)Quantum Information and Cryptography (6 papers)Angiogenesis and VEGF in Cancer (5 papers)
- Cited by
- Artificial IntelligenceComputational Theory and MathematicsAtomic and Molecular Physics, and Optics
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical OncologySHILAP Revista de lepidopterología
- Partner nations
- JapanUnited StatesBelgium
In The Last Decade
Tadashi Kadowaki
40 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Artificial Intelligence 1.2k
- Atomic and Molecular Physics, and Optics 495
- Molecular Biology 428
- Computational Theory and Mathematics 298
- Electrical and Electronic Engineering 158
Countries citing papers authored by Tadashi Kadowaki
This map shows the geographic impact of Tadashi Kadowaki'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 Tadashi Kadowaki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tadashi Kadowaki more than expected).
Fields of papers citing papers by Tadashi Kadowaki
This network shows the impact of papers produced by Tadashi Kadowaki. 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 Tadashi Kadowaki. The network helps show where Tadashi Kadowaki may publish in the future.
Co-authorship network of co-authors of Tadashi Kadowaki
This figure shows the co-authorship network connecting the top 25 collaborators of Tadashi Kadowaki. A scholar is included among the top collaborators of Tadashi Kadowaki 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 Tadashi Kadowaki. Tadashi Kadowaki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 7 | |
| 4 | 24 | |
| 5 | 54 | |
| 6 | 62 | |
| 7 | 141 | |
| 8 | 2 | |
| 9 | 140 | |
| 10 | 5 | |
| 11 | 6 | |
| 12 | 10 | |
| 13 | 57 | |
| 14 | 13 | |
| 15 | 9 | |
| 16 | 9 | |
| 17 | 7 | |
| 18 | 8 | |
| 19 | 30 | |
| 20 | 24 |
About Tadashi Kadowaki
Tadashi Kadowaki is a scholar working on Cancer Research, Obstetrics and Gynecology and Computational Theory and Mathematics, having authored 42 papers that have together received 2.3k indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (6 papers), Quantum Information and Cryptography (6 papers) and Angiogenesis and VEGF in Cancer (5 papers). The work is most often cited by research in Artificial Intelligence (1.2k citations), Computational Theory and Mathematics (298 citations) and Atomic and Molecular Physics, and Optics (495 citations). Tadashi Kadowaki has collaborated with scholars based in Japan, United States and Belgium. Frequent co-authors include Hidetoshi Nishimori, Koji Tsuda, Hiroto Saigo, Gozoh Tsujimoto, Taku Kudo, Akira Yokoi, Sebastian Nowozin, Takuji Okusaka, Hiromitsu Kumada and Yasuhiro Funahashi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.
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.