Tetsuya S. Tanaka
- Cell Biology top 2%
- Cellular Mechanics and Interactions 6
- Molecular Biology top 5%
- Pluripotent Stem Cells Research 18
- CRISPR and Genetic Engineering 10
- Renal and related cancers 6
- RNA Research and Splicing 5
- Aging top 10%
- Biomedical Engineering top 5%
- 3D Printing in Biomedical Research 10
- Structural Biology top 10%
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- Animal Genetics and Reproduction 8
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- Prenatal Screening and Diagnostics 5
- Co-authors
- Minoru S.H. KoFarhan ChowdhuryYeh-Chuin PohNing WangKohji IkenishiDong LiSungsoo NaFei Wang
- 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
- Cell Biology 623
- Molecular Biology 2.1k
- Aging 34
- Biomedical Engineering 779
- Structural Biology 23
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
The 25 scholars most cited alongside Tetsuya S. Tanaka, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 2 | |
| 2 | 2013 | 7 | |
| 3 | 2012 | 52 | |
| 4 | 2011 | 3 | |
| 5 | 2011 | 30 | |
| 6 | The Role of Existing and Emerging Biotechnologies for Livestock Production: toward holism | 2010 | 9 |
| 7 | 2006 | 30 | |
| 8 | 2003 | 11 | |
| 9 | 2003 | 105 | |
| 10 | 2003 | 36 | |
| 11 | Evaluation and comparison of clustering algorithms in analyzing es cell gene expression data | 2002 | 130 |
| 12 | 2002 | 4 | |
| 13 | 2002 | 178 | |
| 14 | 2001 | 1 | |
| 15 | 1999 | 0 | |
| 16 | 1999 | 17 | |
| 17 | 1998 | 1 | |
| 18 | 1997 | 66 | |
| 19 | Continuous Kneading of Electrically Conductive Composite Materials and Evaluation of Filler Dispersion State | 1993 | 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 : | 1992 | 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), 3D Printing in Biomedical Research (10 papers), Animal Genetics and Reproduction (8 papers), Cellular Mechanics and Interactions (6 papers), Renal and related cancers (6 papers), Prenatal Screening and Diagnostics (5 papers) and RNA Research and Splicing (5 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.
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.