Rie Niida

1.6k total citations
8 papers, 1.3k citations indexed

About

Rie Niida is a scholar working on Molecular Biology, Pharmacology and Biochemistry. According to data from OpenAlex, Rie Niida has authored 8 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Pharmacology and 2 papers in Biochemistry. Recurrent topics in Rie Niida's work include Plant biochemistry and biosynthesis (7 papers), Plant Gene Expression Analysis (4 papers) and Microbial Natural Products and Biosynthesis (3 papers). Rie Niida is often cited by papers focused on Plant biochemistry and biosynthesis (7 papers), Plant Gene Expression Analysis (4 papers) and Microbial Natural Products and Biosynthesis (3 papers). Rie Niida collaborates with scholars based in Japan, Germany and Iran. Rie Niida's co-authors include Kazuki Saito, Keiko Yonekura‐Sakakibara, Takayuki Tohge, Fumio Matsuda, Akiko Watanabe‐Takahashi, Hiromitsu Takayama, Eri Inoue, Ryo Nakabayashi, Wataru Mitsuhashi and Takeshi Sassa and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Plant Cell.

In The Last Decade

Rie Niida

8 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Rie Niida Japan	8	1.1k	469	270	138	72	8	1.3k
Karel Miettinen Denmark	17	1.4k 1.3×	427 0.9×	370 1.4×	76 0.6×	171 2.4×	23	1.6k
Jinfu Tang China	20	902 0.8×	421 0.9×	211 0.8×	45 0.3×	62 0.9×	58	1.2k
Yukun Wei China	15	602 0.6×	278 0.6×	217 0.8×	67 0.5×	44 0.6×	51	945
Felipe Vázquez‐Flota Mexico	21	903 0.8×	712 1.5×	297 1.1×	78 0.6×	155 2.2×	67	1.4k
Agnés Lesot France	16	751 0.7×	420 0.9×	140 0.5×	42 0.3×	101 1.4×	18	1.1k
Ramesha Thimmappa India	16	983 0.9×	369 0.8×	418 1.5×	80 0.6×	88 1.2×	24	1.4k
David McCaskill United States	16	1.1k 1.0×	358 0.8×	178 0.7×	203 1.5×	82 1.1×	21	1.3k
Inês Carqueijeiro France	15	915 0.8×	562 1.2×	310 1.1×	75 0.5×	102 1.4×	34	1.4k
Zheyong Xue China	20	983 0.9×	611 1.3×	135 0.5×	75 0.5×	73 1.0×	46	1.4k
Prashant D. Sonawane India	18	903 0.8×	571 1.2×	147 0.5×	50 0.4×	90 1.3×	38	1.4k

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-authorship network of co-authors of Rie Niida

This figure shows the co-authorship network connecting the top 25 collaborators of Rie Niida. A scholar is included among the top collaborators of Rie Niida 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 Rie Niida. Rie Niida is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

Kusano, Miyako, Takayuki Tohge, Atsushi Fukushima, et al.. (2011). Metabolomics reveals comprehensive reprogramming involving two independent metabolic responses of Arabidopsis to UV‐B light. The Plant Journal. 67(2). 354–369. 211 indexed citations

Toyomasu, Tomonobu, Tetsuo Tokiwano, Yuri Kanno, et al.. (2009). Biosynthetic Gene-Based Secondary Metabolite Screening: A New Diterpene, Methyl Phomopsenonate, from the Fungus Phomopsis amygdali. The Journal of Organic Chemistry. 74(4). 1541–1548. 78 indexed citations

Toyomasu, Tomonobu, Rie Niida, Hiromichi Kenmoku, et al.. (2008). Identification of Diterpene Biosynthetic Gene Clusters and Functional Analysis of Labdane-Related Diterpene Cyclases inPhomopsis amygdali. Bioscience Biotechnology and Biochemistry. 72(4). 1038–1047. 35 indexed citations

Matsuda, Fumio, Keiko Yonekura‐Sakakibara, Rie Niida, et al.. (2008). MS/MS spectral tag‐based annotation of non‐targeted profile of plant secondary metabolites. The Plant Journal. 57(3). 555–577. 167 indexed citations

Yonekura‐Sakakibara, Keiko, Takayuki Tohge, Fumio Matsuda, et al.. (2008). Comprehensive Flavonol Profiling and Transcriptome Coexpression Analysis Leading to Decoding Gene–Metabolite Correlations inArabidopsis . The Plant Cell. 20(8). 2160–2176. 312 indexed citations

Yonekura‐Sakakibara, Keiko, Takayuki Tohge, Rie Niida, & Kazuki Saito. (2007). Identification of a Flavonol 7-O-Rhamnosyltransferase Gene Determining Flavonoid Pattern in Arabidopsis by Transcriptome Coexpression Analysis and Reverse Genetics. Journal of Biological Chemistry. 282(20). 14932–14941. 213 indexed citations

Tohge, Takayuki, Keiko Yonekura‐Sakakibara, Rie Niida, Akiko Watanabe‐Takahashi, & Kazuki Saito. (2007). Phytochemical genomics in Arabidopsis thaliana: A case study for functional identification of flavonoid biosynthesis genes. Pure and Applied Chemistry. 79(4). 811–823. 75 indexed citations

Toyomasu, Tomonobu, Rie Niida, Wataru Mitsuhashi, et al.. (2007). Fusicoccins are biosynthesized by an unusual chimera diterpene synthase in fungi. Proceedings of the National Academy of Sciences. 104(9). 3084–3088. 175 indexed citations

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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