Taku Saito
- Molecular Biology top 5%
- Rheumatology top 0.2%
- Cancer Research top 2%
- Pharmacology top 1%
- Electronic, Optical and Magnetic Materials top 5%
- Co-authors
- Ung‐il ChungSakae TanakaHiroshi KawaguchiFumiko YanoToshiyuki IkedaKozo NakamuraShinsuke OhbaYuki Taniguchi
- Topics
- Osteoarthritis Treatment and Mechanisms (62 papers)Iron-based superconductors research (19 papers)Bone Metabolism and Diseases (18 papers)
- Journals
- Proceedings of the National Academy of SciencesPhysical Review LettersJournal of Biological Chemistry
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Taku Saito
163 papers receiving 5.3k citations
Peers
Comparison fields: 5 of 146
- Molecular Biology 2.1k
- Rheumatology 1.9k
- Cancer Research 860
- Pharmacology 704
- Electronic, Optical and Magnetic Materials 678
Countries citing papers authored by Taku Saito
This map shows the geographic impact of Taku Saito'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 Taku Saito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taku Saito more than expected).
Fields of papers citing papers by Taku Saito
This network shows the impact of papers produced by Taku Saito. 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 Taku Saito. The network helps show where Taku Saito may publish in the future.
Co-authorship network of co-authors of Taku Saito
This figure shows the co-authorship network connecting the top 25 collaborators of Taku Saito. A scholar is included among the top collaborators of Taku Saito 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 Taku Saito. Taku Saito 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 | 17 | |
| 3 | 32 | |
| 4 | 1 | |
| 5 | 11 | |
| 6 | 27 | |
| 7 | 3 | |
| 8 | 20 | |
| 9 | 33 | |
| 10 | 9 | |
| 11 | 38 | |
| 12 | 83 | |
| 13 | 小角中性子散乱を用いたFeベース超伝導体KFe 2 As 2 での異方性渦糸格子の探測 | 10 |
| 14 | 70 | |
| 15 | 44 | |
| 16 | 34 | |
| 17 | 21 | |
| 18 | 量子スピン系NH 4 CuCl 3 の3重項局在の 63/65 Cuおよび 35/37 Cl-NMR研究 | 26 |
| 19 | 6 | |
| 20 | Digital Watermark Based on the Dyadic Wavelet Transform and its Robustness on Image Compressing | 2 |
About Taku Saito
Taku Saito is a scholar working on Rheumatology, Cancer Research and Immunology and Allergy, having authored 171 papers that have together received 5.4k indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (62 papers), Iron-based superconductors research (19 papers) and Bone Metabolism and Diseases (18 papers). The work is most often cited by research in Rheumatology (1.9k citations), Cancer Research (860 citations) and Condensed Matter Physics (500 citations). Taku Saito has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Ung‐il Chung, Sakae Tanaka, Hiroshi Kawaguchi, Fumiko Yano, Toshiyuki Ikeda, Kozo Nakamura, Shinsuke Ohba, Yuki Taniguchi, Atsushi Fukai and Makoto Hirata. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Journal of Biological Chemistry.
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.