Shu Tadaka
- Molecular Biology top 10%
- Plant Science top 10%
- Genetics top 10%
- Cancer Research
- Oncology
- Co-authors
- Kengo KinoshitaYuichi AokiTakeshi ObayashiYasunobu OkamuraYuki KagayaSatoshi ItoMatsuyuki ShirotaIkuko N. Motoike
- Topics
- Bioinformatics and Genomic Networks (9 papers)Gene expression and cancer classification (6 papers)Pharmacogenetics and Drug Metabolism (5 papers)
- Partner nations
- JapanUnited StatesNorway
In The Last Decade
Shu Tadaka
26 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 100
- Molecular Biology 738
- Plant Science 264
- Genetics 189
- Cancer Research 83
- Oncology 77
Countries citing papers authored by Shu Tadaka
This map shows the geographic impact of Shu Tadaka'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 Shu Tadaka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shu Tadaka more than expected).
Fields of papers citing papers by Shu Tadaka
This network shows the impact of papers produced by Shu Tadaka. 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 Shu Tadaka. The network helps show where Shu Tadaka may publish in the future.
Co-authorship network of co-authors of Shu Tadaka
This figure shows the co-authorship network connecting the top 25 collaborators of Shu Tadaka. A scholar is included among the top collaborators of Shu Tadaka 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 Shu Tadaka. Shu Tadaka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 17 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 30 | |
| 10 | 2 | |
| 11 | 8 | |
| 12 | 14 | |
| 13 | 19 | |
| 14 | 30 | |
| 15 | 6 | |
| 16 | 72 | |
| 17 | 132 | |
| 18 | 124 | |
| 19 | 79 | |
| 20 | 66 |
About Shu Tadaka
Shu Tadaka is a scholar working on Pharmacology, Genetics and Molecular Biology, having authored 27 papers that have together received 1.0k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (9 papers), Gene expression and cancer classification (6 papers) and Pharmacogenetics and Drug Metabolism (5 papers). The work is most often cited by research in Molecular Biology (738 citations), Plant Science (264 citations) and Genetics (189 citations). Shu Tadaka has collaborated with scholars based in Japan, United States and Norway. Frequent co-authors include Kengo Kinoshita, Yuichi Aoki, Takeshi Obayashi, Yasunobu Okamura, Yuki Kagaya, Satoshi Ito, Matsuyuki Shirota, Ikuko N. Motoike, Masayuki Yamamoto and Takafumi Narise. Their work appears in journals such as Nucleic Acids Research, Nature Communications and Bioinformatics.
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.