Kai Hua

2.5k total citations · 1 hit paper
15 papers, 1.4k citations indexed

About

Kai Hua is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Kai Hua has authored 15 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Plant Science, 8 papers in Molecular Biology and 3 papers in Genetics. Recurrent topics in Kai Hua's work include CRISPR and Genetic Engineering (8 papers), Plant Virus Research Studies (6 papers) and Plant Molecular Biology Research (5 papers). Kai Hua is often cited by papers focused on CRISPR and Genetic Engineering (8 papers), Plant Virus Research Studies (6 papers) and Plant Molecular Biology Research (5 papers). Kai Hua collaborates with scholars based in China, United States and Australia. Kai Hua's co-authors include Jian‐Kang Zhu, Xiaoping Tao, Chunbo Miao, Lihong Xiao, Changsong Zou, Yang Zhao, Ray A. Bressan, Huazhong Shi, Juanjuan Yao and Zhen Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The EMBO Journal.

In The Last Decade

Kai Hua

14 papers receiving 1.4k 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.

Mutations in a subfamily of abscisic acid receptor genes promote rice growth and productivity

2018 250 citations Chunbo Miao, Lihong Xiao et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kai Hua China	13	1.1k	942	212	125	73	15	1.4k
Brian Lenderts United States	12	805 0.8×	961 1.0×	138 0.7×	115 0.9×	55 0.8×	13	1.1k
Claudia Corvalán South Korea	7	814 0.8×	985 1.0×	92 0.4×	141 1.1×	67 0.9×	7	1.1k
Masafumi Mikami Japan	17	1.3k 1.3×	1.6k 1.7×	162 0.8×	259 2.1×	144 2.0×	26	1.9k
Huirong Gao United States	12	1.2k 1.2×	1.3k 1.4×	217 1.0×	150 1.2×	117 1.6×	16	1.7k
Simon Schiml Germany	9	947 0.9×	1.2k 1.3×	87 0.4×	194 1.6×	85 1.2×	9	1.3k
Zhengyan Feng China	10	1.8k 1.7×	1.7k 1.8×	131 0.6×	277 2.2×	107 1.5×	10	2.3k
Keunsub Lee United States	15	665 0.6×	765 0.8×	67 0.3×	110 0.9×	53 0.7×	32	941
Levi G. Lowder United States	9	967 0.9×	1.4k 1.5×	108 0.5×	213 1.7×	130 1.8×	10	1.5k
Tom Lawrenson United Kingdom	10	762 0.7×	752 0.8×	69 0.3×	57 0.5×	33 0.5×	13	964
Yuming Lu China	13	708 0.7×	763 0.8×	83 0.4×	72 0.6×	27 0.4×	21	971

Countries citing papers authored by Kai Hua

Since Specialization

Citations

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

Fields of papers citing papers by Kai Hua

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Hua

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

All Works

Sort: Min cites: Since: Top N: Style:

15 of 15 papers shown

1.

Gao, Yang, et al.. (2025). A manipulation of carotenoids metabolism impacts fruit quality and drought tolerance in tomato. Plant Cell Reports. 44(8). 173–173.

2.

Wang, Zhiqiang, Yarong Zhao, Yang Gao, et al.. (2024). A natural variation contributes to sugar accumulation in fruit during tomato domestication. Plant Biotechnology Journal. 22(12). 3520–3522. 5 indexed citations

3.

Huang, Luojiang, Kai Hua, Ran Xu, et al.. (2021). The LARGE2-APO1/APO2 regulatory module controls panicle size and grain number in rice. The Plant Cell. 33(4). 1212–1228. 66 indexed citations

4.

Hua, Kai, et al.. (2021). Improvement of base editors and prime editors advances precision genome engineering in plants. PLANT PHYSIOLOGY. 188(4). 1795–1810. 34 indexed citations

5.

Wang, Zhen, Yechun Hong, Guangtao Zhu, et al.. (2020). Loss of salt tolerance during tomato domestication conferred by variation in a Na ⁺ /K ⁺ transporter. The EMBO Journal. 39(10). e103256–e103256. 155 indexed citations

6.

Hua, Kai, Yuwei Jiang, Xiaoping Tao, & Jian‐Kang Zhu. (2020). Precision genome engineering in rice using prime editing system. Plant Biotechnology Journal. 18(11). 2167–2169. 117 indexed citations

7.

Hua, Kai, et al.. (2019). Simplified adenine base editors improve adenine base editing efficiency in rice. Plant Biotechnology Journal. 18(3). 770–778. 76 indexed citations

8.

Hua, Kai, et al.. (2019). Genome Engineering in Rice Using Cas9 Variants that Recognize NG PAM Sequences. Molecular Plant. 12(7). 1003–1014. 102 indexed citations

9.

Xu, Jiemeng, Kai Hua, & Zhaobo Lang. (2019). Genome editing for horticultural crop improvement. Horticulture Research. 6(1). 113–113. 75 indexed citations

10.

Miao, Chunbo, Zhen Wang, Lin Zhang, et al.. (2019). The grain yield modulator miR156 regulates seed dormancy through the gibberellin pathway in rice. Nature Communications. 10(1). 3822–3822. 141 indexed citations

11.

Hua, Kai, Jinshan Zhang, José Ramón Botella, et al.. (2019). Perspectives on the Application of Genome-Editing Technologies in Crop Breeding. Molecular Plant. 12(8). 1047–1059. 106 indexed citations

12.

Miao, Chunbo, Lihong Xiao, Kai Hua, et al.. (2018). Mutations in a subfamily of abscisic acid receptor genes promote rice growth and productivity. Proceedings of the National Academy of Sciences. 115(23). 6058–6063. 250 indexed citations breakdown →

13.

Hua, Kai, Xiaoping Tao, & Jian‐Kang Zhu. (2018). Expanding the base editing scope in rice by using Cas9 variants. Plant Biotechnology Journal. 17(2). 499–504. 156 indexed citations

14.

Feng, Zhengyan, Zhengjing Zhang, Kai Hua, et al.. (2018). A Highly Efficient Cell Division-Specific CRISPR/Cas9 System Generates Homozygous Mutants for Multiple Genes in Arabidopsis. International Journal of Molecular Sciences. 19(12). 3925–3925. 46 indexed citations

15.

Guo, Mingxin, Ruci Wang, Juan Wang, et al.. (2014). ALT1, a Snf2 Family Chromatin Remodeling ATPase, Negatively Regulates Alkaline Tolerance through Enhanced Defense against Oxidative Stress in Rice. PLoS ONE. 9(12). e112515–e112515. 51 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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