Rie Niida

1.6k citations
8 papers · 1.3k · h-index 8

Impact in

    • Phytochemicals and Antioxidant Activities
    • Microbial Natural Products and Biosynthesis

Papers in

    • Plant biochemistry and biosynthesis 7
    • Plant Gene Expression Analysis 4
    • Photosynthetic Processes and Mechanisms 1
    • Microbial Natural Products and Biosynthesis 3

Rie Niida

8 papers receiving 1.2k citations

Peers

Rie Niida
Comparison fields: 5 of 58
  • Biochemistry 138
  • Pharmacology 270
  • Molecular Biology 1.1k
  • Plant Science 469
  • Biotechnology 72
Replace David McCaskill with:
David McCaskill United States
Yukun Wei China
Shuiqin Wu United States
Arasuke Nishi Japan
Yuki Matsuba United States
Prashant D. Sonawane India
Ramesha Thimmappa India
Frédéric Jullien France
Oldriska Ceska Canada
Shuangqian Shen China
Rie Niida relative to David McCaskill United States David McCaskill's profile →
Citations per field
00.5×1.5×2.2×
David McCaskill · 1×
Citations per year

Countries citing papers authored by Rie Niida

Since Specialization
Citations

This map shows the geographic impact of Rie Niida'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 Rie Niida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rie Niida more than expected).

Fields of papers citing papers by Rie Niida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rie Niida. 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 Rie Niida. The network helps show where Rie Niida may publish in the future.

Co-authors

The 25 scholars most cited alongside Rie Niida, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Rie Niida Line = papers co-authored together Rie Niida links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2008312
2 2007213
3 2011211
4 2007175
5 2008167
6 200978
7 200775
8 200835

About Rie Niida

Rie Niida is a scholar working on Molecular Biology, Pharmacology, Biochemistry, Plant Science and Ecology, Evolution, Behavior and Systematics, having authored 8 papers that have together received 1.3k indexed citations. Recurring topics across this work include Plant biochemistry and biosynthesis (7 papers), Plant Gene Expression Analysis (4 papers), Microbial Natural Products and Biosynthesis (3 papers), Phytochemicals and Antioxidant Activities (2 papers), Sesquiterpenes and Asteraceae Studies (1 paper), Plant Molecular Biology Research (1 paper), Photosynthetic Processes and Mechanisms (1 paper) and Biocrusts and Microbial Ecology (1 paper). The work is most often cited by research in Biochemistry (138 citations), Pharmacology (270 citations), Molecular Biology (1.1k citations), Plant Science (469 citations) and Biotechnology (72 citations). Rie Niida has collaborated with scholars based in Japan, Iran and Germany. Frequent co-authors include Kazuki Saito, Keiko Yonekura‐Sakakibara, Takayuki Tohge, Fumio Matsuda, Akiko Watanabe‐Takahashi, Hiromitsu Takayama, Eri Inoue, Ryo Nakabayashi, Tomonobu Toyomasu and Takeshi Sassa. Their work appears in journals such as The Plant Journal, Pure and Applied Chemistry, Proceedings of the National Academy of Sciences, The Journal of Organic Chemistry and Bioscience Biotechnology and 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.

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