Hsihua Wang

402 total citations
15 papers, 294 citations indexed

About

Hsihua Wang is a scholar working on Molecular Biology, Biochemistry and Plant Science. According to data from OpenAlex, Hsihua Wang has authored 15 papers receiving a total of 294 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 5 papers in Biochemistry and 4 papers in Plant Science. Recurrent topics in Hsihua Wang's work include Plant Gene Expression Analysis (6 papers), Plant biochemistry and biosynthesis (6 papers) and Photosynthetic Processes and Mechanisms (4 papers). Hsihua Wang is often cited by papers focused on Plant Gene Expression Analysis (6 papers), Plant biochemistry and biosynthesis (6 papers) and Photosynthetic Processes and Mechanisms (4 papers). Hsihua Wang collaborates with scholars based in China, France and Germany. Hsihua Wang's co-authors include Yan Li, Cathie Martin, Yang Zhang, Yang Zhang, Yong Yuan, Rao Fu, Yu Wu, Mingchun Liu, Wen Zhang and Mondher Bouzayen and has published in prestigious journals such as New Phytologist, The Plant Journal and Science Advances.

In The Last Decade

Hsihua Wang

14 papers receiving 294 citations

Peers

Hsihua Wang
Hsihua Wang
Citations per year, relative to Hsihua Wang Hsihua Wang (= 1×) peers Huarong Qiu

Countries citing papers authored by Hsihua Wang

Since Specialization
Citations

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

Fields of papers citing papers by Hsihua Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hsihua Wang

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

All Works

15 of 15 papers shown
1.
2.
Xiang, Yuting, Shuxin Zheng, Bang Chen, et al.. (2025). Self‐activating and chromosomally colocalized LsERF166 positively regulates costunolide biosynthesis in lettuce. New Phytologist. 247(5). 2231–2244. 1 indexed citations
3.
Su, Dan, Mengbo Wu, Hsihua Wang, et al.. (2025). Bi‐functional transcription factor SlbHLH95 regulates fruits flavonoid metabolism and grey mould resistance in tomato. Plant Biotechnology Journal. 23(6). 2083–2094. 8 indexed citations
4.
Chen, Bang, Shuxin Zheng, Hsihua Wang, et al.. (2025). Identification of key enzymes participated in the biosynthesis of a rare flavonol patuletin in the medicinal plant Echinacea angustifolia. International Journal of Biological Macromolecules. 311(Pt 2). 143924–143924. 1 indexed citations
5.
Wang, Jingjin, Zikun Wang, Hsihua Wang, et al.. (2025). UDP ‐glucosyltransferases from UGT73 family catalyze 3‐ O ‐glucosylation of isosteroidal and steroidal alkaloids in Fritillaria unibracteata var. wabuensis. The Plant Journal. 121(5). e70042–e70042. 5 indexed citations
6.
Xiang, Yuting, Shuxin Zheng, Hsihua Wang, et al.. (2025). Multi-omics study reveals a light-dependent regulatory network of flavonoid biosynthesis in lettuce (Lactuca sativa L.). Science China Life Sciences. 68(8). 2442–2455. 4 indexed citations
7.
Jin, Ge, et al.. (2024). A stress-responsive R2R3-MYB transcription factor, EpMYB1 is involved in the regulation of anthocyanin biosynthesis in purple coneflower. Industrial Crops and Products. 209. 118043–118043. 7 indexed citations
8.
Huang, Yuqing, Hsihua Wang, Yuting Zhang, et al.. (2024). SCPL acyltransferases catalyze the metabolism of chlorogenic acid during purple coneflower seed germination. New Phytologist. 243(1). 229–239. 6 indexed citations
10.
You, Sheng‐Jie, Yu Wu, Wen Li, et al.. (2023). SlERF.G3‐Like mediates a hierarchical transcriptional cascade to regulate ripening and metabolic changes in tomato fruit. Plant Biotechnology Journal. 22(1). 165–180. 32 indexed citations
11.
Yuan, Yong, et al.. (2022). G2-LIKE CAROTENOID REGULATOR (SlGCR) is a positive regulator of lutein biosynthesis in tomato. aBIOTECH. 3(4). 267–280. 7 indexed citations
12.
Wu, Yanjun, Yong Yuan, Wenqian Jiang, et al.. (2022). Enrichment of health-promoting lutein and zeaxanthin in tomato fruit through metabolic engineering. Synthetic and Systems Biotechnology. 7(4). 1159–1166. 17 indexed citations
13.
Yuan, Yong, Xiaofeng Liu, Yu Wu, et al.. (2022). SlWRKY35 positively regulates carotenoid biosynthesis by activating the MEP pathway in tomato fruit. New Phytologist. 234(1). 164–178. 100 indexed citations
14.
Zhang, Jing, Kui Du, Yue Xie, et al.. (2022). Integration of transcriptomic and metabolomic data reveals new tetraploid kiwifruit hybrids with enhanced nutrients. LWT. 170. 114012–114012. 4 indexed citations
15.
Li, Yan, Hsihua Wang, Yang Zhang, & Cathie Martin. (2018). Can the world’s favorite fruit, tomato, provide an effective biosynthetic chassis for high-value metabolites?. Plant Cell Reports. 37(10). 1443–1450. 97 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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