Huai‐Yu Zhao

790 total citations · 1 hit paper
6 papers, 336 citations indexed

About

Huai‐Yu Zhao is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Huai‐Yu Zhao has authored 6 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Plant Science, 4 papers in Genetics and 3 papers in Molecular Biology. Recurrent topics in Huai‐Yu Zhao's work include Genetic Mapping and Diversity in Plants and Animals (4 papers), Plant Molecular Biology Research (3 papers) and Plant nutrient uptake and metabolism (2 papers). Huai‐Yu Zhao is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (4 papers), Plant Molecular Biology Research (3 papers) and Plant nutrient uptake and metabolism (2 papers). Huai‐Yu Zhao collaborates with scholars based in China and United States. Huai‐Yu Zhao's co-authors include Nai‐Qian Dong, Zi‐Qi Lu, Yi Kan, Wang‐Wei Ye, Hong‐Xuan Lin, Hong‐Xiao Yu, Jun‐Xiang Shan, Yi‐Bing Yang, Tao Guo and Yachao Li and has published in prestigious journals such as Nature Communications, Molecular Plant and Journal of Integrative Plant Biology.

In The Last Decade

Huai‐Yu Zhao

6 papers receiving 331 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.

UDP-glucosyltransferase regulates grain size and abiotic stress tolerance associated with metabolic flux redirection in rice

2020 240 citations Nai‐Qian Dong, Yuwei Sun et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Huai‐Yu Zhao China	5	273	143	91	18	12	6	336
Hong‐Xiao Yu China	5	273 1.0×	143 1.0×	91 1.0×	18 1.0×	12 1.0×	6	336
Yoshiyuki Mukai Japan	7	364 1.3×	198 1.4×	103 1.1×	9 0.5×	7 0.6×	9	429
Baoxuan Nong China	8	220 0.8×	125 0.9×	75 0.8×	18 1.0×	14 1.2×	19	304
Zongqiong Zhang China	7	214 0.8×	114 0.8×	77 0.8×	18 1.0×	13 1.1×	17	294
Omidi Mansour Iran	10	235 0.9×	127 0.9×	47 0.5×	30 1.7×	16 1.3×	53	295
Rohit Kambale India	9	221 0.8×	92 0.6×	54 0.6×	21 1.2×	8 0.7×	23	275
Zi‐Qi Lu China	8	428 1.6×	259 1.8×	166 1.8×	22 1.2×	17 1.4×	13	542
Su‐Ying Yeh Taiwan	7	250 0.9×	166 1.2×	38 0.4×	10 0.6×	6 0.5×	7	315
Phun Bum Park South Korea	8	525 1.9×	316 2.2×	44 0.5×	26 1.4×	18 1.5×	14	592
Congping Xu China	10	185 0.7×	156 1.1×	25 0.3×	17 0.9×	7 0.6×	16	245

Countries citing papers authored by Huai‐Yu Zhao

Since Specialization

Citations

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

Fields of papers citing papers by Huai‐Yu Zhao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Huai‐Yu Zhao. 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 Huai‐Yu Zhao. The network helps show where Huai‐Yu Zhao may publish in the future.

Co-authorship network of co-authors of Huai‐Yu Zhao

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

All Works

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6 of 6 papers shown

1.

Zhao, Huai‐Yu, Jun‐Xiang Shan, Wang‐Wei Ye, et al.. (2024). A QTL GN1.1, encoding FT‐L1, regulates grain number and yield by modulating polar auxin transport in rice. Journal of Integrative Plant Biology. 66(10). 2158–2174. 4 indexed citations

2.

Yu, Hong‐Xiao, Yingjie Cao, Yibing Yang, et al.. (2024). A TT1–SCE1 module integrates ubiquitination and SUMOylation to regulate heat tolerance in rice. Molecular Plant. 17(12). 1899–1918. 10 indexed citations

3.

Guo, Tao, Zi‐Qi Lu, Yehui Xiong, et al.. (2023). Optimization of rice panicle architecture by specifically suppressing ligand–receptor pairs. Nature Communications. 14(1). 1640–1640. 35 indexed citations

4.

Yu, Jiajun, Ben Liao, Jun‐Xiang Shan, et al.. (2022). An α/β hydrolase family member negatively regulates salt tolerance but promotes flowering through three distinct functions in rice. Molecular Plant. 15(12). 1908–1930. 20 indexed citations

5.

Zhang, Yimin, Hong‐Xiao Yu, Wang‐Wei Ye, et al.. (2021). A rice QTL GS3.1 regulates grain size through metabolic-flux distribution between flavonoid and lignin metabolons without affecting stress tolerance. Communications Biology. 4(1). 1171–1171. 27 indexed citations

6.

Dong, Nai‐Qian, Yuwei Sun, Tao Guo, et al.. (2020). UDP-glucosyltransferase regulates grain size and abiotic stress tolerance associated with metabolic flux redirection in rice. Nature Communications. 11(1). 2629–2629. 240 indexed citations breakdown →

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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