Tetsuya Nakamura
- Cancer Research top 5%
- Molecular Biology top 5%
- Developmental Biology and Gene Regulation 19
- Congenital heart defects research 14
- Coenzyme Q10 studies and effects 8
- Virology top 10%
- Genetics top 5%
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 6
- Cell Biology top 10%
- Zebrafish Biomedical Research Applications 4
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- Biochemical effects in animals 4
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- Eicosanoids and Hypertension Pharmacology 3
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- Chromosomal and Genetic Variations 3
- Co-authors
- Hiroshi HamadaNeil H. ShubinKannanganattu V. PrasanthDavid L. SpectorFanny CoulpierZhenyu XuanDelphine BernardVidisha Tripathi
- Journals
- Nature (2 papers)Proceedings of the National Academy of Sciences (4 papers)Journal of the American Chemical Society (1 paper)
- Partner nations
- JapanUnited StatesBrazil
In The Last Decade
Tetsuya Nakamura
65 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Cancer Research 600
- Molecular Biology 1.6k
- Virology 77
- Genetics 405
- Cell Biology 188
Countries citing papers authored by Tetsuya Nakamura
This map shows the geographic impact of Tetsuya Nakamura'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 Nakamura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tetsuya Nakamura more than expected).
Fields of papers citing papers by Tetsuya Nakamura
This network shows the impact of papers produced by Tetsuya Nakamura. 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 Nakamura. The network helps show where Tetsuya Nakamura may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tetsuya Nakamura, 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 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 4 | |
| 5 | 2022 | 3 | |
| 6 | 2022 | 10 | |
| 7 | 2019 | 9 | |
| 8 | 2018 | 61 | |
| 9 | 2017 | 0 | |
| 10 | 2015 | 7 | |
| 11 | 2014 | 102 | |
| 12 | 2013 | 2 | |
| 13 | 2012 | 118 | |
| 14 | 2011 | 75 | |
| 15 | 2007 | 98 | |
| 16 | 2006 | 172 | |
| 17 | 2004 | 34 | |
| 18 | 2003 | 43 | |
| 19 | 1997 | 7 | |
| 20 | 1983 | 1 |
About Tetsuya Nakamura
Tetsuya Nakamura is a scholar working on Molecular Biology, Biochemistry and Cell Biology, having authored 69 papers that have together received 2.5k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (19 papers), Congenital heart defects research (14 papers), Coenzyme Q10 studies and effects (8 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (6 papers), Biochemical effects in animals (4 papers), Zebrafish Biomedical Research Applications (4 papers), Eicosanoids and Hypertension Pharmacology (3 papers) and Chromosomal and Genetic Variations (3 papers). The work is most often cited by research in Cancer Research (600 citations), Molecular Biology (1.6k citations) and Virology (77 citations). Tetsuya Nakamura has collaborated with scholars based in Japan, United States and Brazil. Frequent co-authors include Hiroshi Hamada, Neil H. Shubin, Kannanganattu V. Prasanth, David L. Spector, Fanny Coulpier, Zhenyu Xuan, Delphine Bernard, Vidisha Tripathi, Michael Q. Zhang and Sabrina Colasse. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.