Hiroko Urawa

685 total citations
8 papers, 486 citations indexed

About

Hiroko Urawa is a scholar working on Molecular Biology, Plant Science and Cellular and Molecular Neuroscience. According to data from OpenAlex, Hiroko Urawa has authored 8 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Plant Science and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Hiroko Urawa's work include Plant Molecular Biology Research (4 papers), Photosynthetic Processes and Mechanisms (3 papers) and CRISPR and Genetic Engineering (2 papers). Hiroko Urawa is often cited by papers focused on Plant Molecular Biology Research (4 papers), Photosynthetic Processes and Mechanisms (3 papers) and CRISPR and Genetic Engineering (2 papers). Hiroko Urawa collaborates with scholars based in Japan, Switzerland and South Korea. Hiroko Urawa's co-authors include Yoshishige Inagaki, Shigeru Iida, Kazuo Tsugane, Rie Terada, Takashi Horiuchi, Soichi Inagaki, Takamasa Suzuki, Yasuhiro Kamei, Kenzo Nakamura and Atsushi Morikami and has published in prestigious journals such as Nature Biotechnology, The Plant Cell and The Plant Journal.

In The Last Decade

Hiroko Urawa

8 papers receiving 468 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hiroko Urawa Japan	7	396	324	54	46	30	8	486
Remco A. Mentink Netherlands	13	417 1.1×	279 0.9×	24 0.4×	20 0.4×	39 1.3×	15	572
A. Gertz Germany	9	356 0.9×	149 0.5×	33 0.6×	41 0.9×	15 0.5×	10	420
Luke Hayden United States	6	264 0.7×	201 0.6×	24 0.4×	21 0.5×	7 0.2×	7	369
James L. Lissemore United States	14	619 1.6×	505 1.6×	50 0.9×	30 0.7×	31 1.0×	21	773
Jennifer Mach United States	6	403 1.0×	355 1.1×	49 0.9×	13 0.3×	17 0.6×	23	566
Sandrine Choinard France	7	391 1.0×	261 0.8×	52 1.0×	10 0.2×	19 0.6×	7	459
Liam Childs Germany	12	411 1.0×	226 0.7×	76 1.4×	17 0.4×	16 0.5×	17	577
José Manuel Álvarez Spain	16	360 0.9×	496 1.5×	173 3.2×	24 0.5×	46 1.5×	36	666
Chandrashekara Mallappa United States	11	469 1.2×	396 1.2×	26 0.5×	5 0.1×	24 0.8×	12	634
Valérie Gaudin France	18	1.3k 3.3×	1.4k 4.3×	51 0.9×	26 0.6×	45 1.5×	38	1.6k

Countries citing papers authored by Hiroko Urawa

Since Specialization

Citations

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

Fields of papers citing papers by Hiroko Urawa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroko Urawa

This figure shows the co-authorship network connecting the top 25 collaborators of Hiroko Urawa. A scholar is included among the top collaborators of Hiroko Urawa 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 Hiroko Urawa. Hiroko Urawa 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

Tameshige, Toshiaki, Naoyuki Uchida, Keiko U. Torii, et al.. (2023). Targeted single-cell gene induction by optimizing the dually regulated CRE/loxP system by a newly defined heat-shock promoter and the steroid hormone in Arabidopsis thaliana. Frontiers in Plant Science. 14. 1171531–1171531. 5 indexed citations

Takahashi, Azusa, et al.. (2019). Development of a Heat-Inducible Gene Expression System Using Female Gametophytes of Arabidopsis thaliana. Plant and Cell Physiology. 60(11). 2564–2572. 9 indexed citations

Maruyama, Kyonoshin, T. Ogata, Norihito Kanamori, et al.. (2016). Design of an optimal promoter involved in the heat‐induced transcriptional pathway in Arabidopsis, soybean, rice and maize. The Plant Journal. 89(4). 671–680. 27 indexed citations

Nishihama, Ryuichi, Sakiko Ishida, Hiroko Urawa, Yasuhiro Kamei, & Takayuki Kohchi. (2015). Conditional Gene Expression/Deletion Systems forMarchantia polymorphaUsing its Own Heat-Shock Promoter and Cre/loxP-Mediated Site-Specific Recombination. Plant and Cell Physiology. 57(2). 271–280. 45 indexed citations

Deguchi, Tomonori, Mariko Itoh, Hiroko Urawa, et al.. (2009). Infrared laser‐mediated local gene induction in medaka, zebrafish and Arabidopsis thaliana. Development Growth & Differentiation. 51(9). 769–775. 58 indexed citations

Inagaki, Soichi, Takamasa Suzuki, Masa‐aki Ohto, et al.. (2006). ArabidopsisTEBICHI, with Helicase and DNA Polymerase Domains, Is Required for Regulated Cell Division and Differentiation in Meristems. The Plant Cell. 18(4). 879–892. 100 indexed citations

Terada, Rie, Hiroko Urawa, Yoshishige Inagaki, Kazuo Tsugane, & Shigeru Iida. (2002). Efficient gene targeting by homologous recombination in rice. Nature Biotechnology. 20(10). 1030–1034. 229 indexed citations

Urawa, Hiroko, Masumi Hidaka, Sumie Ishiguro, K. Okada, & Takashi Horiuchi. (2001). Enhanced homologous recombination caused by the non-transcribed spacer of the rDNA in Arabidopsis. Molecular Genetics and Genomics. 266(4). 546–555. 13 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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