Yasuo Niwa
- Plant Science top 0.2%
- Plant Molecular Biology Research 12
- Plant Virus Research Studies 7
- Plant Stress Responses and Tolerance 5
- Biotechnology top 0.5%
- Transgenic Plants and Applications 16
- Molecular Biology top 1%
- Photosynthetic Processes and Mechanisms 23
- Plant tissue culture and regeneration 21
- Plant biochemistry and biosynthesis 4
- Biochemistry top 2%
- Cell Biology top 5%
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- Toxin Mechanisms and Immunotoxins 5
- Co-authors
- Hirokazu KobayashiJen SheenTakanori HiranoWan-Ling ChiuWeike ZengTsuyoshi NakagawaTetsuya KimuraMakoto Kawamukai
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Nucleic Acids Research (1 paper)PLoS ONE (4 papers)
- Partner nations
- JapanUnited StatesNetherlands
In The Last Decade
Yasuo Niwa
54 papers receiving 5.5k citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Plant Science 4.0k
- Biotechnology 617
- Molecular Biology 4.1k
- Biochemistry 183
- Cell Biology 319
Countries citing papers authored by Yasuo Niwa
This map shows the geographic impact of Yasuo Niwa'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 Yasuo Niwa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yasuo Niwa more than expected).
Fields of papers citing papers by Yasuo Niwa
This network shows the impact of papers produced by Yasuo Niwa. 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 Yasuo Niwa. The network helps show where Yasuo Niwa may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yasuo Niwa, 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 | 2024 | 3 | |
| 2 | 2022 | 3 | |
| 3 | 2019 | 8 | |
| 4 | 2018 | 16 | |
| 5 | 2018 | 3 | |
| 6 | 2017 | 14 | |
| 7 | 2015 | 8 | |
| 8 | 2011 | 18 | |
| 9 | 2009 | 3 | |
| 10 | Development of series of gateway binary vectors, pGWBs, for realizing efficient construction of fusion genes for plant transformationbreakdown → | 2007 | 1393 |
| 11 | 2006 | 18 | |
| 12 | 2005 | 42 | |
| 13 | 2005 | 74 | |
| 14 | 2005 | 20 | |
| 15 | 2003 | 201 | |
| 16 | 2001 | 20 | |
| 17 | 1999 | 7 | |
| 18 | 1999 | 36 | |
| 19 | Engineered GFP as a vital reporter in plantsbreakdown → | 1996 | 1210 |
| 20 | 1988 | 4 |
About Yasuo Niwa
Yasuo Niwa is a scholar working on Biotechnology, Plant Science and Molecular Biology, having authored 54 papers that have together received 5.6k indexed citations. Recurring topics across this work include Photosynthetic Processes and Mechanisms (23 papers), Plant tissue culture and regeneration (21 papers), Transgenic Plants and Applications (16 papers), Plant Molecular Biology Research (12 papers), Plant Virus Research Studies (7 papers), Plant Stress Responses and Tolerance (5 papers), Toxin Mechanisms and Immunotoxins (5 papers) and Plant biochemistry and biosynthesis (4 papers). The work is most often cited by research in Plant Science (4.0k citations), Biotechnology (617 citations) and Molecular Biology (4.1k citations). Yasuo Niwa has collaborated with scholars based in Japan, United States and Netherlands. Frequent co-authors include Hirokazu Kobayashi, Jen Sheen, Takanori Hirano, Wan-Ling Chiu, Weike Zeng, Tsuyoshi Nakagawa, Tetsuya Kimura, Makoto Kawamukai, Kiminori Toyooka and Katsunori Tanaka. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and PLoS ONE.
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.