T. Nomura

9.9k total citations
166 papers, 7.0k citations indexed

About

T. Nomura is a scholar working on Plant Science, Nuclear and High Energy Physics and Radiation. According to data from OpenAlex, T. Nomura has authored 166 papers receiving a total of 7.0k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Plant Science, 59 papers in Nuclear and High Energy Physics and 42 papers in Radiation. Recurrent topics in T. Nomura's work include Nuclear physics research studies (56 papers), Plant Molecular Biology Research (54 papers) and Nuclear Physics and Applications (40 papers). T. Nomura is often cited by papers focused on Nuclear physics research studies (56 papers), Plant Molecular Biology Research (54 papers) and Nuclear Physics and Applications (40 papers). T. Nomura collaborates with scholars based in Japan, United States and Australia. T. Nomura's co-authors include Takao Yokota, Koichi Yoneyama, Kaori Yoneyama, Xiaonan Xie, Gerard J. Bishop, Yuji Kamiya, Takaya Kisugi, Suguru Takatsuto, Kohki Akiyama and Shinjiro Yamaguchi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Journal of Biological Chemistry.

In The Last Decade

T. Nomura

163 papers receiving 6.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
T. Nomura Japan 43 5.1k 2.5k 1.6k 1.0k 504 166 7.0k
K. Shimomura Japan 28 828 0.2× 826 0.3× 223 0.1× 536 0.5× 517 1.0× 298 3.3k
J. Bruinsma Netherlands 25 1.6k 0.3× 1.2k 0.5× 303 0.2× 137 0.1× 119 0.2× 110 2.3k
M. J. Thompson United States 45 736 0.1× 1.6k 0.6× 759 0.5× 85 0.1× 518 1.0× 391 7.7k
Masa H. Sato Japan 41 2.6k 0.5× 3.2k 1.3× 149 0.1× 144 0.1× 101 0.2× 132 5.6k
Donald Spencer Australia 36 2.2k 0.4× 2.3k 0.9× 196 0.1× 67 0.1× 342 0.7× 105 4.3k
E. K. Lin Taiwan 21 384 0.1× 348 0.1× 51 0.0× 622 0.6× 280 0.6× 91 1.5k
Erin Bell United States 21 2.1k 0.4× 1.1k 0.4× 247 0.2× 128 0.1× 35 0.1× 35 2.8k
Arthur S. Edison United States 42 464 0.1× 3.7k 1.5× 160 0.1× 369 0.4× 269 0.5× 155 6.2k
Akira Kanazawa Japan 32 2.8k 0.6× 1.3k 0.5× 187 0.1× 104 0.1× 23 0.0× 140 3.8k
H. -D. Reiss Germany 21 723 0.1× 751 0.3× 307 0.2× 195 0.2× 122 0.2× 48 1.3k

Countries citing papers authored by T. Nomura

Since Specialization
Citations

This map shows the geographic impact of T. Nomura'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 T. Nomura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Nomura more than expected).

Fields of papers citing papers by T. Nomura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Nomura

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

All Works

20 of 20 papers shown
1.
Wu, Sheng, Akiyoshi Yoda, Xiaonan Xie, et al.. (2023). Identification of a Prunus MAX1 homolog as a unique strigol synthase. New Phytologist. 239(5). 1819–1833. 10 indexed citations
2.
Saito, Tatsuo, Ikuo Takahashi, Yoshiya Seto, et al.. (2023). Synthesis of Carlactone Derivatives to Develop a Novel Inhibitor of Strigolactone Biosynthesis. ACS Omega. 8(15). 13855–13862. 2 indexed citations
3.
Ono, Akiko, Jili Zhang, Chihiro Sato, et al.. (2023). Heterologous expression of the lectin CmRlec from Cordyceps militaris (Cordycipitaceae, Ascomycota) in Escherichia coli. Bioscience Biotechnology and Biochemistry. 87(7). 742–746.
4.
Kusajima, Miyuki, Hidemitsu Nakamura, Koichi Yoneyama, et al.. (2022). Strigolactones Modulate Salicylic Acid-Mediated Disease Resistance in Arabidopsis thaliana. International Journal of Molecular Sciences. 23(9). 5246–5246. 26 indexed citations
5.
Yoda, Akiyoshi, Narumi Mori, Kohki Akiyama, et al.. (2021). Strigolactone biosynthesis catalyzed by cytochrome P450 and sulfotransferase in sorghum. New Phytologist. 232(5). 1999–2010. 34 indexed citations
6.
Yoneyama, Kaori, Xiaonan Xie, T. Nomura, & Koichi Yoneyama. (2020). Do Phosphate and Cytokinin Interact to Regulate Strigolactone Biosynthesis or Act Independently?. Frontiers in Plant Science. 11. 438–438. 26 indexed citations
7.
Yoneyama, Koichi, Xiaonan Xie, Kaori Yoneyama, et al.. (2019). Regulation of biosynthesis, perception, and functions of strigolactones for promoting arbuscular mycorrhizal symbiosis and managing root parasitic weeds. Pest Management Science. 75(9). 2353–2359. 20 indexed citations
8.
Xie, Xiaonan, Narumi Mori, Kaori Yoneyama, et al.. (2018). Lotuslactone, a non-canonical strigolactone from Lotus japonicus. Phytochemistry. 157. 200–205. 42 indexed citations
9.
Fàbregas, Norma, Fidel Lozano‐Elena, David Blasco‐Escámez, et al.. (2018). Overexpression of the vascular brassinosteroid receptor BRL3 confers drought resistance without penalizing plant growth. Nature Communications. 9(1). 4680–4680. 213 indexed citations
10.
Yokota, Takao, Toshiyuki Ohnishi, Kyomi Shibata, et al.. (2017). Occurrence of brassinosteroids in non-flowering land plants, liverwort, moss, lycophyte and fern. Phytochemistry. 136. 46–55. 51 indexed citations
12.
Yoneyama, Kaori, Xiaonan Xie, Takaya Kisugi, T. Nomura, & Koichi Yoneyama. (2013). Nitrogen and phosphorus fertilization negatively affects strigolactone production and exudation in sorghum. Planta. 238(5). 885–894. 76 indexed citations
13.
Kisugi, Takaya, Xiaonan Xie, Hyun Il Kim, et al.. (2013). Strigone, isolation and identification as a natural strigolactone from Houttuynia cordata. Phytochemistry. 87. 60–64. 25 indexed citations
14.
Xie, Xiaonan, Kaori Yoneyama, Takaya Kisugi, et al.. (2012). Confirming Stereochemical Structures of Strigolactones Produced by Rice and Tobacco. Molecular Plant. 6(1). 153–163. 138 indexed citations
15.
Nomura, T., et al.. (2008). Wireless Passive Strain Sensor Based on Surface Acoustic Wave Devices. SHILAP Revista de lepidopterología. 1 indexed citations
16.
Zhu, Yongyou, T. Nomura, Yonghan Xu, et al.. (2006). ELONGATED UPPERMOST INTERNODE Encodes a Cytochrome P450 Monooxygenase That Epoxidizes Gibberellins in a Novel Deactivation Reaction in Rice. The Plant Cell. 18(2). 442–456. 303 indexed citations
17.
Ohnishi, Toshiyuki, T. Nomura, Bunta Watanabe, et al.. (2006). Tomato cytochrome P450 CYP734A7 functions in brassinosteroid catabolism. Phytochemistry. 67(17). 1895–1906. 71 indexed citations
18.
Nomura, T., Gerard J. Bishop, Tsuyoshi Kaneta, et al.. (2003). The LKA gene is a BRASSINOSTEROID INSENSITIVE 1 homolog of pea. The Plant Journal. 36(3). 291–300. 81 indexed citations
19.
Nomura, T., et al.. (1998). BLOCKED BIOSYNTHESIS OF BRASSINOSTEROID-DEFICIENT MUTANTS lkb AND lk. Plant and Cell Physiology. 39. 1 indexed citations
20.
Nomura, T.. (1967). Bile pigments of fish. NIPPON SUISAN GAKKAISHI. 33(9). 860–865. 1 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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