Taisuke Nishimura
Impact in
- Plant Science top 5%
- Plant Molecular Biology Research
- Chromosomal and Genetic Variations
- Plant nutrient uptake and metabolism
- Plant Virus Research Studies
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- Plant Reproductive Biology
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- Photosynthetic Processes and Mechanisms
Papers in
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- Plant Molecular Biology Research 9
- Plant nutrient uptake and metabolism 3
- Chromosomal and Genetic Variations 3
- Plant Genetic and Mutation Studies 2
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- Plant Reproductive Biology 3
- RNA and protein synthesis mechanisms 2
- Photosynthetic Processes and Mechanisms 2
- RNA Research and Splicing 1
- Co-authors
- Kiyotaka Okada (2 shared papers)Takuji Wada (2 shared papers)Kotaro T. Yamamoto (1 shared paper)Jerzy Paszkowski (5 shared papers)Olivier Mathieu (2 shared papers)Marie Mirouze (1 shared paper)Detlef Weigel (1 shared paper)Jun Cao (1 shared paper)
- Journals
- Plant and Cell Physiology (3 papers)PLoS Genetics (2 papers)The Plant Cell (1 paper)Nature (1 paper)European Journal of Biochemistry (1 paper)
- Partner nations
- JapanSwitzerlandFrance
In The Last Decade
Taisuke Nishimura
12 papers receiving 606 citations
Peers
Comparison fields: 5 of 46
- Plant Science 472
- Molecular Biology 416
- Horticulture 4
- Cell Biology 18
- Endocrinology 5
Countries citing papers authored by Taisuke Nishimura
This map shows the geographic impact of Taisuke Nishimura'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 Taisuke Nishimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taisuke Nishimura more than expected).
Fields of papers citing papers by Taisuke Nishimura
This network shows the impact of papers produced by Taisuke Nishimura. 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 Taisuke Nishimura. The network helps show where Taisuke Nishimura may publish in the future.
Co-authors
The 25 scholars most cited alongside Taisuke Nishimura, 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 | 2009 | 261 | |
| 2 | 2005 | 155 | |
| 3 | 2003 | 79 | |
| 4 | 1997 | 33 | |
| 5 | 2008 | 27 | |
| 6 | 2009 | 25 | |
| 7 | 2012 | 19 | |
| 8 | 2013 | 3 | |
| 9 | 2007 | 2 | |
| 10 | 2018 | 2 | |
| 11 | 2010 | 2 | |
| 12 | 2025 | 1 |
About Taisuke Nishimura
Taisuke Nishimura is a scholar working on Plant Science, Molecular Biology, Biomedical Engineering, Infectious Diseases and Organic Chemistry, having authored 12 papers that have together received 609 indexed citations. Recurring topics across this work include Plant Molecular Biology Research (9 papers), Plant nutrient uptake and metabolism (3 papers), Chromosomal and Genetic Variations (3 papers), Plant Reproductive Biology (3 papers), RNA and protein synthesis mechanisms (2 papers), Photosynthetic Processes and Mechanisms (2 papers), Plant Genetic and Mutation Studies (2 papers) and RNA Research and Splicing (1 paper). The work is most often cited by research in Plant Science (472 citations), Molecular Biology (416 citations), Horticulture (4 citations), Cell Biology (18 citations) and Endocrinology (5 citations). Taisuke Nishimura has collaborated with scholars based in Japan, Switzerland and France. Frequent co-authors include Kiyotaka Okada, Takuji Wada, Kotaro T. Yamamoto, Jerzy Paszkowski, Olivier Mathieu, Marie Mirouze, Detlef Weigel, Jun Cao, Etienne Bucher and Jon Reinders. Their work appears in journals such as Plant and Cell Physiology, PLoS Genetics, The Plant Cell, Nature and European Journal of Biochemistry.
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.