Noriyuki Nishimura
- Plant Science top 0.2%
- Molecular Biology top 5%
- Global and Planetary Change top 10%
- Spectroscopy top 10%
- Biochemistry top 5%
- Co-authors
- Julian I. SchroederMaik BöhmerHonghong HuTae‐Houn KimKenichi HitomiElizabeth D. GetzoffTakashi HirayamaKazuo Shinozaki
- Topics
- Plant Stress Responses and Tolerance (23 papers)Plant Molecular Biology Research (11 papers)Amino Acid Enzymes and Metabolism (8 papers)
- Partner nations
- JapanUnited StatesEstonia
In The Last Decade
Noriyuki Nishimura
51 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Plant Science 4.4k
- Molecular Biology 2.1k
- Global and Planetary Change 155
- Spectroscopy 130
- Biochemistry 121
Countries citing papers authored by Noriyuki Nishimura
This map shows the geographic impact of Noriyuki 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 Noriyuki Nishimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noriyuki Nishimura more than expected).
Fields of papers citing papers by Noriyuki Nishimura
This network shows the impact of papers produced by Noriyuki 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 Noriyuki Nishimura. The network helps show where Noriyuki Nishimura may publish in the future.
Co-authorship network of co-authors of Noriyuki Nishimura
This figure shows the co-authorship network connecting the top 25 collaborators of Noriyuki Nishimura. A scholar is included among the top collaborators of Noriyuki Nishimura 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 Noriyuki Nishimura. Noriyuki Nishimura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 全ゲノム配列決定によるバルク分離分析を組み合わせることによるイネ(Oryza sativa L.)における種子破砕のための遺伝子座の同定【JST・京大機械翻訳】 | 1 |
| 2 | 155 | |
| 3 | 68 | |
| 4 | 125 | |
| 5 | Guard Cell Signal Transduction Network: Advances in Understanding Abscisic Acid, CO2, and Ca2+Signalingbreakdown → | 1027 |
| 6 | Early abscisic acid signal transduction mechanisms: newly discovered components and newly emerging questionsbreakdown → | 511 |
| 7 | 387 | |
| 8 | 31 | |
| 9 | 129 | |
| 10 | SLAC1 is required for plant guard cell S-type anion channel function in stomatal signallingbreakdown → | 649 |
| 11 | 65 | |
| 12 | 144 | |
| 13 | 21 | |
| 14 | 36 | |
| 15 | 9 | |
| 16 | 14 | |
| 17 | Mechanism of Coenzyme A Biosynthesis by Sarcina lutea | 1 |
| 18 | 32 | |
| 19 | 17 | |
| 20 | 9 |
About Noriyuki Nishimura
Noriyuki Nishimura is a scholar working on Biochemistry, Biotechnology and Clinical Biochemistry, having authored 52 papers that have together received 5.2k indexed citations. Recurring topics across this work include Plant Stress Responses and Tolerance (23 papers), Plant Molecular Biology Research (11 papers) and Amino Acid Enzymes and Metabolism (8 papers). The work is most often cited by research in Plant Science (4.4k citations), Molecular Biology (2.1k citations) and Physiology (116 citations). Noriyuki Nishimura has collaborated with scholars based in Japan, United States and Estonia. Frequent co-authors include Julian I. Schroeder, Maik Böhmer, Honghong Hu, Tae‐Houn Kim, Kenichi Hitomi, Elizabeth D. Getzoff, Takashi Hirayama, Kazuo Shinozaki, Katharine Hubbard and Tadao Asami. Their work appears in journals such as Nature, Science and Journal of Biological Chemistry.
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.