Tetsuya S. Tanaka
- Molecular Biology top 5%
- Biomedical Engineering top 5%
- Cell Biology top 2%
- Genetics top 5%
- Surgery top 10%
- Co-authors
- Minoru S.H. KoFarhan ChowdhuryYeh-Chuin PohNing WangKohji IkenishiDong LiSungsoo NaFei Wang
- Topics
- Pluripotent Stem Cells Research (18 papers)CRISPR and Genetic Engineering (10 papers)3D Printing in Biomedical Research (10 papers)
- Cited by
- Cell BiologyMolecular BiologyAging
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Tetsuya S. Tanaka
85 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 159
- Molecular Biology 2.1k
- Biomedical Engineering 779
- Cell Biology 623
- Genetics 377
- Surgery 284
Countries citing papers authored by Tetsuya S. Tanaka
This map shows the geographic impact of Tetsuya S. 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 Tetsuya S. Tanaka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tetsuya S. Tanaka more than expected).
Fields of papers citing papers by Tetsuya S. Tanaka
This network shows the impact of papers produced by Tetsuya S. 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 Tetsuya S. Tanaka. The network helps show where Tetsuya S. Tanaka may publish in the future.
Co-authorship network of co-authors of Tetsuya S. Tanaka
This figure shows the co-authorship network connecting the top 25 collaborators of Tetsuya S. Tanaka. A scholar is included among the top collaborators of Tetsuya S. 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 Tetsuya S. Tanaka. Tetsuya S. 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 | 2 | |
| 2 | 7 | |
| 3 | 52 | |
| 4 | 3 | |
| 5 | 30 | |
| 6 | The Role of Existing and Emerging Biotechnologies for Livestock Production: toward holism | 9 |
| 7 | 30 | |
| 8 | 11 | |
| 9 | 105 | |
| 10 | 36 | |
| 11 | Evaluation and comparison of clustering algorithms in analyzing es cell gene expression data | 130 |
| 12 | 4 | |
| 13 | 178 | |
| 14 | 1 | |
| 15 | 0 | |
| 16 | 17 | |
| 17 | 1 | |
| 18 | 66 | |
| 19 | Continuous Kneading of Electrically Conductive Composite Materials and Evaluation of Filler Dispersion State | 3 |
| 20 | SUBCELLULAR LOCALIZATION AND MOLECULAR NATURE OF THE no. 48 ANTIGEN FOUND IN XENOPUS GERM PLASM BY FLUORESCENCE MICROSCOPY.(Developmental Biology)Proceedings of the Sixty-Third Annual Meeting of the Zoologiacal Socistry of Japan : | 2 |
About Tetsuya S. Tanaka
Tetsuya S. Tanaka is a scholar working on Structural Biology, Molecular Biology and Developmental Neuroscience, having authored 88 papers that have together received 3.4k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (18 papers), CRISPR and Genetic Engineering (10 papers) and 3D Printing in Biomedical Research (10 papers). The work is most often cited by research in Cell Biology (623 citations), Molecular Biology (2.1k citations) and Aging (34 citations). Tetsuya S. Tanaka has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Minoru S.H. Ko, Farhan Chowdhury, Yeh-Chuin Poh, Ning Wang, Kohji Ikenishi, Dong Li, Sungsoo Na, Fei Wang, Saied A. Jaradat and Tamaki Yokohama‐Tamaki. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Genetics.
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.