Li‐Chun Huang

2.5k total citations · 1 hit paper
68 papers, 1.9k citations indexed

About

Li‐Chun Huang is a scholar working on Molecular Biology, Plant Science and Nutrition and Dietetics. According to data from OpenAlex, Li‐Chun Huang has authored 68 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 26 papers in Plant Science and 14 papers in Nutrition and Dietetics. Recurrent topics in Li‐Chun Huang's work include Food composition and properties (14 papers), GABA and Rice Research (9 papers) and Plant Molecular Biology Research (9 papers). Li‐Chun Huang is often cited by papers focused on Food composition and properties (14 papers), GABA and Rice Research (9 papers) and Plant Molecular Biology Research (9 papers). Li‐Chun Huang collaborates with scholars based in China, Taiwan and United States. Li‐Chun Huang's co-authors include Kristie Clarkin, Geoffrey M. Wahl, Qianfeng Li, Changquan Zhang, Qiaoquan Liu, Qiaoquan Liu, Xiaolei Fan, Dueng‐Yuan Hueng, Dongsheng Zhao and Shih‐Ming Huang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Li‐Chun Huang

63 papers receiving 1.8k citations

Hit Papers

Starch biosynthesis in cereal endosperms: An updated revi... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Li‐Chun Huang China 25 1.0k 805 279 276 241 68 1.9k
Guowu Yu China 22 582 0.6× 718 0.9× 167 0.6× 276 1.0× 76 0.3× 54 1.3k
Maja Grabacka Poland 22 936 0.9× 201 0.2× 176 0.6× 117 0.4× 184 0.8× 44 1.8k
Gerhard Schwall Germany 20 724 0.7× 319 0.4× 302 1.1× 72 0.3× 87 0.4× 34 1.4k
Ranveer Singh Jayani India 11 825 0.8× 686 0.9× 165 0.6× 89 0.3× 90 0.4× 13 1.6k
Xuewei Chen China 33 1.3k 1.3× 2.6k 3.2× 66 0.2× 269 1.0× 203 0.8× 90 3.6k
Jiandong Bao China 25 898 0.9× 583 0.7× 103 0.4× 150 0.5× 124 0.5× 103 1.8k
Qinghua Ma China 23 928 0.9× 337 0.4× 120 0.4× 102 0.4× 344 1.4× 98 1.7k
Jin‐Chul Kim South Korea 27 972 1.0× 231 0.3× 111 0.4× 70 0.3× 141 0.6× 90 2.0k
Hao Zhou China 18 770 0.8× 548 0.7× 104 0.4× 278 1.0× 86 0.4× 81 1.4k
Shakeel Ahmad Pakistan 28 1.2k 1.2× 807 1.0× 66 0.2× 234 0.8× 392 1.6× 78 2.2k

Countries citing papers authored by Li‐Chun Huang

Since Specialization
Citations

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

Fields of papers citing papers by Li‐Chun Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Li‐Chun Huang. 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 Li‐Chun Huang. The network helps show where Li‐Chun Huang may publish in the future.

Co-authorship network of co-authors of Li‐Chun Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Li‐Chun Huang. A scholar is included among the top collaborators of Li‐Chun Huang 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 Li‐Chun Huang. Li‐Chun Huang 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.
Huang, Li‐Chun, Bai‐Chen Wang, Yingxin Zhong, et al.. (2025). Enhancing quality traits in staple crops: current advances and future perspectives. Journal of genetics and genomics. 52(12). 1438–1459. 2 indexed citations
3.
Ren, Xinyu, Zhou Yu, Shasha Jia, et al.. (2025). OsOFP9 regulates diverse key traits of rice by integrating multiple plant hormones. The Plant Journal. 121(5). e70044–e70044. 3 indexed citations
4.
Huang, Li‐Chun, Ying Xiao, Wei Zhao, et al.. (2023). Creating high‐resistant starch rice by simultaneous editing of SS3a and SS3b. Plant Biotechnology Journal. 22(4). 787–789. 24 indexed citations
5.
Lu, Jun, et al.. (2023). Gene editing of non-coding regulatory DNA and its application in crop improvement. Journal of Experimental Botany. 74(19). 6158–6175. 9 indexed citations
6.
Xiong, Min, Jiawen Yu, Jin-Dong Wang, et al.. (2022). Brassinosteroids regulate rice seed germination through the BZR1-RAmy3D transcriptional module. PLANT PHYSIOLOGY. 189(1). 402–418. 69 indexed citations
7.
Fan, Xiaolei, Jie Zhao, Yun Zhu, et al.. (2022). Exogenous Melatonin Improves the Quality Performance of Rice under High Temperature during Grain Filling. Agronomy. 12(4). 949–949. 24 indexed citations
8.
Chen, Fei, Yan Lu, Xiaolei Fan, et al.. (2022). The Underlying Physicochemical Properties and Starch Structures of indica Rice Grains with Translucent Endosperms under Low-Moisture Conditions. Foods. 11(10). 1378–1378. 7 indexed citations
9.
Wang, Zhen, Yu Zhou, Xinyu Ren, et al.. (2022). Co-Overexpression of Two Key Source Genes, OsBMY4 and OsISA3, Improves Multiple Key Traits of Rice Seeds. Journal of Agricultural and Food Chemistry. 71(1). 615–625. 19 indexed citations
10.
Wang, Zhen, Ke Wei, Min Xiong, et al.. (2021). Glucan, Water‐Dikinase 1 (GWD1), an ideal biotechnological target for potential improving yield and quality in rice. Plant Biotechnology Journal. 19(12). 2606–2618. 37 indexed citations
11.
Li, Yao‐Feng, Chung-Hsing Chou, Li‐Chun Huang, et al.. (2021). GRPEL2 Knockdown Exerts Redox Regulation in Glioblastoma. International Journal of Molecular Sciences. 22(23). 12705–12705. 7 indexed citations
12.
Huang, Li‐Chun, Jiawen Yu, Dongsheng Zhao, et al.. (2021). Improving rice eating and cooking quality by coordinated expression of the major starch synthesis-related genes, SSII and Wx, in endosperm. Plant Molecular Biology. 106(4-5). 419–432. 39 indexed citations
13.
Yang, Yong, Yan Lu, Qianfeng Li, et al.. (2021). The Physicochemical Properties of Starch Are Affected by Wxlv in Indica Rice. Foods. 10(12). 3089–3089. 8 indexed citations
14.
Huang, Li‐Chun, Qianfeng Li, Changquan Zhang, et al.. (2020). Creating novel Wx alleles with fine‐tuned amylose levels and improved grain quality in rice by promoter editing using CRISPR/Cas9 system. Plant Biotechnology Journal. 18(11). 2164–2166. 137 indexed citations
15.
Li, Yao‐Feng, Wen‐Chiuan Tsai, Chung-Hsing Chou, et al.. (2020). CKAP2L Knockdown Exerts Antitumor Effects by Increasing miR-4496 in Glioblastoma Cell Lines. International Journal of Molecular Sciences. 22(1). 197–197. 17 indexed citations
16.
Liang, Shuyi, Shuting Liu, Li‐Chun Huang, et al.. (2019). <p>The antitumor properties of metformin and phenformin reflect their ability to inhibit the actions of differentiated embryo chondrocyte 1</p>. Cancer Management and Research. Volume 11. 6567–6579. 6 indexed citations
17.
Li, Qianfeng, Jin-Dong Wang, Min Xiong, et al.. (2018). iTRAQ-Based Analysis of Proteins Co-Regulated by Brassinosteroids and Gibberellins in Rice Embryos during Seed Germination. International Journal of Molecular Sciences. 19(11). 3460–3460. 13 indexed citations
18.
Li, Qianfeng, Jiawen Yu, Jun Lü, et al.. (2018). Seed-Specific Expression of OsDWF4, a Rate-Limiting Gene Involved in Brassinosteroids Biosynthesis, Improves Both Grain Yield and Quality in Rice. Journal of Agricultural and Food Chemistry. 66(15). 3759–3772. 35 indexed citations
20.
Huang, Li‐Chun, et al.. (2010). Development of potency assays for a plasmid containing vascular endothelial growth factor 2. Electronic Journal of Biotechnology. 13(1). 1–2. 30 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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