Yusaku Uga

5.4k total citations · 1 hit paper
67 papers, 3.6k citations indexed

About

Yusaku Uga is a scholar working on Plant Science, Genetics and Environmental Engineering. According to data from OpenAlex, Yusaku Uga has authored 67 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Plant Science, 29 papers in Genetics and 7 papers in Environmental Engineering. Recurrent topics in Yusaku Uga's work include Rice Cultivation and Yield Improvement (46 papers), Plant nutrient uptake and metabolism (34 papers) and Genetic Mapping and Diversity in Plants and Animals (29 papers). Yusaku Uga is often cited by papers focused on Rice Cultivation and Yield Improvement (46 papers), Plant nutrient uptake and metabolism (34 papers) and Genetic Mapping and Diversity in Plants and Animals (29 papers). Yusaku Uga collaborates with scholars based in Japan, Philippines and Colombia. Yusaku Uga's co-authors include Masahiro Yano, Kazutoshi Okuno, Yuka Kitomi, Noriko Kanno, Toshiyuki Takai, Satoshi Ogawa, Jian Wu, Naho Hara, Haruhiko Inoue and Kazuhiko Sugimoto and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Genetics and PLoS ONE.

In The Last Decade

Yusaku Uga

64 papers receiving 3.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Control of root system architecture by DEEPER ROOTING 1 increases rice yield under drought conditions

2013 1.1k citations Yusaku Uga, Kazuhiko Sugimoto et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yusaku Uga Japan	29	3.3k	952	441	314	188	67	3.6k
P. Stephen Baenziger United States	28	2.5k 0.7×	614 0.6×	232 0.5×	589 1.9×	94 0.5×	97	2.7k
Aaron J. Lorenz United States	30	3.5k 1.1×	2.2k 2.3×	321 0.7×	490 1.6×	83 0.4×	85	4.1k
Jackie C. Rudd United States	26	2.1k 0.6×	562 0.6×	204 0.5×	384 1.2×	129 0.7×	88	2.2k
Christopher N. Topp United States	25	2.1k 0.6×	343 0.4×	902 2.0×	225 0.7×	98 0.5×	45	2.4k
Haydn Kuchel Australia	29	3.1k 0.9×	1.4k 1.5×	237 0.5×	815 2.6×	81 0.4×	49	3.4k
Dirk B. Hays United States	23	1.6k 0.5×	367 0.4×	240 0.5×	442 1.4×	103 0.5×	66	1.8k
Marco Maccaferri Italy	37	3.5k 1.1×	1.8k 1.9×	378 0.9×	614 2.0×	42 0.2×	82	3.7k
Surya Kant Australia	27	2.7k 0.8×	292 0.3×	744 1.7×	334 1.1×	182 1.0×	80	3.1k
Aluízio Borém Brazil	24	1.5k 0.5×	362 0.4×	238 0.5×	262 0.8×	111 0.6×	130	1.8k
Alessandro Tondelli Italy	25	2.7k 0.8×	816 0.9×	483 1.1×	523 1.7×	121 0.6×	50	2.9k

Countries citing papers authored by Yusaku Uga

Since Specialization

Citations

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

Fields of papers citing papers by Yusaku Uga

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yusaku Uga

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

All Works

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20 of 20 papers shown

Kamoshita, Akihiko, et al.. (2024). Evaluation of rice breeding lines containing root QTLs under different water management environments. 18(0). 22–34. 2 indexed citations

Oo, Aung Zaw, et al.. (2024). Significant interaction between root system architecture and stratified phosphorus availability for the initial growth of rice in a flooded soil culture. Rhizosphere. 31. 100947–100947. 4 indexed citations

Hayashi, Takeshi, et al.. (2024). Three-dimensional image analysis specifies the root distribution for drought avoidance in the early growth stage of rice. Annals of Botany. 134(4). 593–602. 2 indexed citations

Teramoto, Shota & Yusaku Uga. (2024). Detection of quantitative trait loci for rice root systems grown in paddies based on nondestructive phenotyping using X‐ray computed tomography. The Plant Journal. 121(1). e17171–e17171. 4 indexed citations

Teramoto, Shota & Yusaku Uga. (2024). Convolutional neural networks combined with conventional filtering to semantically segment plant roots in rapidly scanned X-ray computed tomography volumes with high noise levels. Plant Methods. 20(1). 73–73. 3 indexed citations

Soma, Fumiyuki, Fuminori Takahashi, Satoshi Kidokoro, et al.. (2023). Constitutively active B2 Raf-like kinases are required for drought-responsive gene expression upstream of ABA-activated SnRK2 kinases. Proceedings of the National Academy of Sciences. 120(24). e2221863120–e2221863120. 33 indexed citations

Soma, Fumiyuki, Yuka Kitomi, Taiji Kawakatsu, & Yusaku Uga. (2023). Life-Cycle Multiomics of Rice Shoots Reveals Growth Stage–Specific Effects of Drought Stress and Time–Lag Drought Responses. Plant and Cell Physiology. 65(1). 156–168. 6 indexed citations

Miyoshi, Yuta, Fumiyuki Soma, Yong‐Gen Yin, et al.. (2023). Rice immediately adapts the dynamics of photosynthates translocation to roots in response to changes in soil water environment. Frontiers in Plant Science. 13. 1024144–1024144. 7 indexed citations

Teramoto, Shota & Yusaku Uga. (2022). Four-dimensional measurement of root system development using time-series three-dimensional volumetric data analysis by backward prediction. Plant Methods. 18(1). 133–133. 3 indexed citations

10.

Teramoto, Shota, Takanari Tanabata, & Yusaku Uga. (2021). RSAtrace3D: robust vectorization software for measuring monocot root system architecture. BMC Plant Biology. 21(1). 398–398. 17 indexed citations

11.

Teramoto, Shota, Atsushi Hayashi, Ryo Nishijima, et al.. (2021). iPOTs: Internet of Things‐based pot system controlling optional treatment of soil water condition for plant phenotyping under drought stress. The Plant Journal. 107(5). 1569–1580. 15 indexed citations

12.

Kawakatsu, Taiji, Shota Teramoto, Satoko Takayasu, et al.. (2021). The transcriptomic landscapes of rice cultivars with diverse root system architectures grown in upland field conditions. The Plant Journal. 106(4). 1177–1190. 17 indexed citations

13.

Tanaka, Tsuyoshi, Ryo Nishijima, Shota Teramoto, et al.. (2020). De novoGenome Assembly of theindicaRice Variety IR64 Using Linked-Read Sequencing and Nanopore Sequencing. G3 Genes Genomes Genetics. 10(5). 1495–1501. 23 indexed citations

14.

Teramoto, Shota, Satoko Takayasu, Yuka Kitomi, et al.. (2020). High-throughput three-dimensional visualization of root system architecture of rice using X-ray computed tomography. Plant Methods. 16(1). 66–66. 85 indexed citations

15.

Kitomi, Yuka, Eiko Hanzawa, Noriyuki Kuya, et al.. (2020). Root angle modifications by the DRO1 homolog improve rice yields in saline paddy fields. Proceedings of the National Academy of Sciences. 117(35). 21242–21250. 162 indexed citations

16.

Teramoto, Shota & Yusaku Uga. (2020). A Deep Learning-Based Phenotypic Analysis of Rice Root Distribution from Field Images. Plant Phenomics. 2020. 3194308–3194308. 33 indexed citations

17.

Teramoto, Shota, Naoki Kawachi, Takanari Tanabata, et al.. (2019). Towards a deeper integrated multi-omics approach in the root system to develop climate-resilient rice. Molecular Breeding. 39(12). 18 indexed citations

18.

Uga, Yusaku, Yuka Kitomi, Brandon Larson, et al.. (2018). Genomic regions responsible for seminal and crown root lengths identified by 2D & 3D root system image analysis. BMC Genomics. 19(1). 273–273. 11 indexed citations

19.

Uga, Yusaku, Meechai Siangliw, Tsukasa Nagamine, et al.. (2010). Comparative mapping of QTLs determining glume, pistil and stamen sizes in cultivated rice (Oryza sativa L.). Plant Breeding. 129(6). 657–669. 22 indexed citations

20.

Nakayama, Shigeki, et al.. (2008). Chromosomes and 5S rDNA-repeats of wild taro Colocasia esculenta from Myanmar. Tropical agriculture and development. 52(1). 32–35. 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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