Chonghuai Liu

2.5k total citations
67 papers, 1.4k citations indexed

About

Chonghuai Liu is a scholar working on Plant Science, Food Science and Molecular Biology. According to data from OpenAlex, Chonghuai Liu has authored 67 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Plant Science, 31 papers in Food Science and 29 papers in Molecular Biology. Recurrent topics in Chonghuai Liu's work include Horticultural and Viticultural Research (48 papers), Fermentation and Sensory Analysis (31 papers) and Plant Gene Expression Analysis (14 papers). Chonghuai Liu is often cited by papers focused on Horticultural and Viticultural Research (48 papers), Fermentation and Sensory Analysis (31 papers) and Plant Gene Expression Analysis (14 papers). Chonghuai Liu collaborates with scholars based in China, New Zealand and United Kingdom. Chonghuai Liu's co-authors include Jianfu Jiang, Da‐Long Guo, Xiucai Fan, Junyu Zhang, Lei Sun, Jian Jiao, Lijun Wang, Shaohua Li, Guotian Liu and Xinna Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLANT PHYSIOLOGY and Journal of Hazardous Materials.

In The Last Decade

Chonghuai Liu

65 papers receiving 1.4k citations

Peers

Chonghuai Liu

GENET

Jianfu Jiang China

Yi‐He Yu China

Yingzhen Yang United States

Mariela Pontín Argentina

Heng Zhai China

J. Alan Sullivan Canada

Baiquan Ma China

Hongjian Wan China

Chong Zhang China

Diana Bellin Italy

Jianfu Jiang China

Chonghuai Liu

644 ×0.6

426 ×0.6

246 ×0.8

75 ×0.7

59 ×0.6

GENET

Citations per year, relative to Chonghuai Liu Chonghuai Liu (= 1×) peers Jianfu Jiang

Countries citing papers authored by Chonghuai Liu

Since Specialization

Citations

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

Fields of papers citing papers by Chonghuai Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chonghuai Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Chonghuai Liu. A scholar is included among the top collaborators of Chonghuai Liu 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 Chonghuai Liu. Chonghuai Liu 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

Wang, Jingyang, Min Li, Xiucai Fan, et al.. (2025). Multi-omics analysis unravels the dynamics of flavor profile in ‘Queen Nina’ berries and the regulatory mechanism underlying volatile esters. Food Chemistry Molecular Sciences. 10. 100248–100248. 1 indexed citations

Wang, Jingyang, Xuewei Liu, Xiucai Fan, et al.. (2025). Structure and function of Vitis vinifera Arabidopsis Response Regulator 1 (VvARR1) protein provide insights into the regulatory mechanism of grape fruit shape through gibberellin-cytokinin crosstalk. International Journal of Biological Macromolecules. 319(Pt 1). 145246–145246. 1 indexed citations

Liu, Xuewei, et al.. (2024). Aroma profiling analysis of grape berries based on electronic nose detection. Scientia Horticulturae. 336. 113425–113425. 4 indexed citations

Sun, Lei, et al.. (2024). Genome-Wide Association Study of Grape Texture Based on Puncture. International Journal of Molecular Sciences. 25(23). 13065–13065. 1 indexed citations

Wang, Yiming, et al.. (2024). The cysteine-rich receptor-like kinase CRK10 targeted by Coniella diplodiella effector CdE1 contributes to white rot resistance in grapevine. Journal of Experimental Botany. 75(10). 3026–3039. 4 indexed citations

Fan, Xiucai, Jianfu Jiang, Ying Zhang, et al.. (2024). VvMYBA1 and VvMYB3 form an activator–repressor system to regulate anthocyanin biosynthesis in grape. Horticultural Plant Journal. 11(4). 1493–1505. 5 indexed citations

Zhang, Ying, Yiming Wang, Zhangjun Fei, et al.. (2024). Antibody array-based proteome approach reveals proteins involved in grape seed development. PLANT PHYSIOLOGY. 195(1). 462–478. 1 indexed citations

Li, Peng, Hao Wang, Liyuan Gu, et al.. (2024). Combined metabolomic transcriptomic analysis reveals the role of flavonoid pathway in white rot resistance of Vitis davidii Foex. grapes. Scientia Horticulturae. 335. 113311–113311. 7 indexed citations

Liu, Jinghui, Hao Wang, Xiucai Fan, et al.. (2023). Establishment and application of a Multiple nucleotide polymorphism molecular identification system for grape cultivars. Scientia Horticulturae. 325. 112642–112642. 5 indexed citations

10.

Li, Peng, Lei Sun, Jianfu Jiang, et al.. (2023). Transcriptome analysis of resistant and susceptible grapes reveals molecular mechanisms underlying resistance of white rot disease. SHILAP Revista de lepidopterología. 1(1). 4 indexed citations

11.

Jiao, Jian, Yiqi Liu, Mengli Yang, et al.. (2023). The engineered CRISPR‐Mb2Cas12a variant enables sensitive and fast nucleic acid‐based pathogens diagnostics in the field. Plant Biotechnology Journal. 21(7). 1465–1478. 17 indexed citations

12.

Zhang, Xiaoli, Qiang Liu, Chonghuai Liu, et al.. (2022). Varietal Differences Among the Fruit Quality Characteristic of 15 Spine Grapes (Vitis davidii Foëx). HortScience. 57(10). 1282–1288. 5 indexed citations

13.

Nawaz, Muhammad Azher, Ruitao Liu, Lei Sun, et al.. (2021). Evaluation of volatile aroma compounds from Chinese wild grape berries by headspace-SPME with GC-MS. Food Science and Technology. 42. 18 indexed citations

14.

Sun, Lei, Jianfu Jiang, Xiucai Fan, et al.. (2020). New quantitative trait locus (QTLs) and candidate genes associated with the grape berry color trait identified based on a high-density genetic map. BMC Plant Biology. 20(1). 302–302. 27 indexed citations

15.

Sun, Lei, et al.. (2020). Polymorphism of anthocyanin concentration and composition in Chinese wild grapes. Australian Journal of Grape and Wine Research. 27(1). 34–41. 10 indexed citations

16.

Fan, Xiucai, et al.. (2019). Restriction site-associated DNA sequencing reveals the molecular genetic diversity of grapevine and genes related to white rot disease. Scientia Horticulturae. 261. 108907–108907. 8 indexed citations

17.

Zhao, Hui, Yanlun Ju, Jianfu Jiang, et al.. (2019). Downy mildew resistance identification and SSR molecular marker screening of different grape germplasm resources. Scientia Horticulturae. 252. 212–221. 9 indexed citations

18.

Zhang, Chuan, Le Guan, Xiucai Fan, et al.. (2019). Anatomical characteristics associated with different degrees of berry cracking in grapes. Scientia Horticulturae. 261. 108992–108992. 28 indexed citations

19.

Liu, Guotian, Jianfu Jiang, Xinna Liu, et al.. (2019). New insights into the heat responses of grape leaves via combined phosphoproteomic and acetylproteomic analyses. Horticulture Research. 6(1). 100–100. 32 indexed citations

20.

Fan, Xiucai, et al.. (2018). Anthocyanin Composition and MybA-related Genotype in Kyoho Grape and Its Derivatives. HortScience. 53(12). 1766–1771. 3 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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