Hideyuki Tanaka
- Molecular Biology
- Plant Science top 10%
- Organic Chemistry top 10%
- Cell Biology top 10%
- Genetics
- Co-authors
- Md. AsaduzzamanToshiki AsaoKazuhiro KohamaAkio NakamuraShinichi MotokiKazuyuki YoshidaS. M. A. Hakim SiddikiKen‐ichi Shimizu
- Topics
- Plant tissue culture and regeneration (10 papers)Scientific Measurement and Uncertainty Evaluation (8 papers)Seed Germination and Physiology (7 papers)
- Partner nations
- JapanUnited StatesBangladesh
In The Last Decade
Hideyuki Tanaka
126 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 145
- Molecular Biology 617
- Plant Science 263
- Organic Chemistry 152
- Cell Biology 132
- Genetics 125
Countries citing papers authored by Hideyuki Tanaka
This map shows the geographic impact of Hideyuki Tanaka'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 Hideyuki Tanaka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hideyuki Tanaka more than expected).
Fields of papers citing papers by Hideyuki Tanaka
This network shows the impact of papers produced by Hideyuki Tanaka. 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 Hideyuki Tanaka. The network helps show where Hideyuki Tanaka may publish in the future.
Co-authorship network of co-authors of Hideyuki Tanaka
This figure shows the co-authorship network connecting the top 25 collaborators of Hideyuki Tanaka. A scholar is included among the top collaborators of Hideyuki Tanaka 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 Hideyuki Tanaka. Hideyuki Tanaka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 6 | |
| 5 | 4 | |
| 6 | 3 | |
| 7 | 0 | |
| 8 | 53 | |
| 9 | 7 | |
| 10 | 2 | |
| 11 | 0 | |
| 12 | Microsatellite genotypes in triploid Japanese eel (Anguilla japonica) induced by heat shock | 1 |
| 13 | Development of Torque Controlled Active Steering Using the Estimated Alignment Torque for EPS | 1 |
| 14 | 7 | |
| 15 | 48 | |
| 16 | 3 | |
| 17 | Studies on the methods for statistical analysis of the microfilarial periodicity survey data. | 20 |
| 18 | Studies on the chromosomes of Strongyloides ratti Sand-ground, 1925. | 1 |
| 19 | Experimental studies on filariasis control in Japan. | 3 |
| 20 | An efficacious application of gentian violet to the treatment of human strongyloidiasis. | 1 |
About Hideyuki Tanaka
Hideyuki Tanaka is a scholar working on Biochemistry, Statistics, Probability and Uncertainty and Plant Science, having authored 132 papers that have together received 1.6k indexed citations. Recurring topics across this work include Plant tissue culture and regeneration (10 papers), Scientific Measurement and Uncertainty Evaluation (8 papers) and Seed Germination and Physiology (7 papers). The work is most often cited by research in Biochemistry (115 citations), Physiology (44 citations) and Molecular Biology (617 citations). Hideyuki Tanaka has collaborated with scholars based in Japan, United States and Bangladesh. Frequent co-authors include Md. Asaduzzaman, Toshiki Asao, Kazuhiro Kohama, Akio Nakamura, Shinichi Motoki, Kazuyuki Yoshida, S. M. A. Hakim Siddiki, Ken‐ichi Shimizu, Shigeru Takemori and Junichi Hirokawa. Their work appears in journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Blood.
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.