Caixiang Liu

1.3k total citations
35 papers, 1.0k citations indexed

About

Caixiang Liu is a scholar working on Molecular Biology, Plant Science and Pharmacology. According to data from OpenAlex, Caixiang Liu has authored 35 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 16 papers in Plant Science and 4 papers in Pharmacology. Recurrent topics in Caixiang Liu's work include Metabolomics and Mass Spectrometry Studies (9 papers), Ginseng Biological Effects and Applications (5 papers) and Insect-Plant Interactions and Control (3 papers). Caixiang Liu is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (9 papers), Ginseng Biological Effects and Applications (5 papers) and Insect-Plant Interactions and Control (3 papers). Caixiang Liu collaborates with scholars based in China, United States and Singapore. Caixiang Liu's co-authors include Guangcun He, Lili Zhu, Bo Du, Rongzhi Chen, Peiying Hao, Yuanyuan Wang, Ming Tang, Huiru Tang, Hehua Lei and Fuhua Hao and has published in prestigious journals such as Journal of the American Chemical Society, Analytical Chemistry and PLANT PHYSIOLOGY.

In The Last Decade

Caixiang Liu

34 papers receiving 993 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Caixiang Liu China 14 627 450 255 49 48 35 1.0k
Yongliang Xia China 13 338 0.5× 449 1.0× 354 1.4× 62 1.3× 52 1.1× 22 1.1k
Stefanie König Germany 18 430 0.7× 479 1.1× 61 0.2× 40 0.8× 38 0.8× 39 939
Qianyu Liu China 15 269 0.4× 280 0.6× 140 0.5× 62 1.3× 64 1.3× 34 773
Takuya Yamaguchi Japan 19 760 1.2× 555 1.2× 104 0.4× 52 1.1× 127 2.6× 60 1.2k
Àiyīng Liú China 22 946 1.5× 313 0.7× 97 0.4× 24 0.5× 102 2.1× 83 1.4k
Raja S. Settivari United States 18 267 0.4× 302 0.7× 58 0.2× 79 1.6× 36 0.8× 38 1.1k
Ying Yin China 18 324 0.5× 337 0.7× 126 0.5× 30 0.6× 45 0.9× 33 750
Aly Raïes Tunisia 18 259 0.4× 273 0.6× 57 0.2× 61 1.2× 33 0.7× 37 755
Yanyan Wang China 24 1.1k 1.7× 611 1.4× 66 0.3× 63 1.3× 45 0.9× 85 1.5k
Thomas W. Baumann Switzerland 24 538 0.9× 766 1.7× 125 0.5× 139 2.8× 47 1.0× 59 1.6k

Countries citing papers authored by Caixiang Liu

Since Specialization
Citations

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

Fields of papers citing papers by Caixiang Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Caixiang Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Caixiang Liu. A scholar is included among the top collaborators of Caixiang 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 Caixiang Liu. Caixiang Liu 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.
Liu, Biao, Tao Huang, Xiong Xiao, et al.. (2025). Drug Screening for Glycolysis Pathway in Living Cancer Cells Using 19F NMR. Analytical Chemistry. 97(17). 9192–9201.
2.
Huang, Tao, Shuangli Li, Biao Liu, et al.. (2024). Rapid Targeted Screening and Identification of Active Ingredients in Herbal Extracts through Ligand-Detected NMR and Database Matching. Analytical Chemistry. 2 indexed citations
3.
Liu, Biao, Caixiang Liu, Tao Huang, et al.. (2024). Real-Time NMR-Based Drug Discovery to Identify Inhibitors against Fatty Acid Synthesis in Living Cancer Cells. Analytical Chemistry. 1 indexed citations
4.
5.
Xiao, Xiong, Tao Huang, Caixiang Liu, et al.. (2024). Real-Time Observation of Conformational Changes and Translocation of Endogenous Cytochrome c within Intact Mitochondria. Journal of the American Chemical Society. 146(7). 4455–4466. 8 indexed citations
6.
Guo, Dongbo, et al.. (2023). Identification of ALG3 as a potential prognostic biomarker in lung adenocarcinoma. Heliyon. 9(7). e18065–e18065. 5 indexed citations
7.
Liu, Caixiang, et al.. (2023). Combination of peak-picking and binning for NMR-based untargeted metabonomics study. Journal of Magnetic Resonance. 351. 107429–107429. 6 indexed citations
8.
9.
Lei, Hehua, Yuchen Song, Gui Chen, et al.. (2021). Metabolomics safety assessments of microcystin exposure via drinking water in rats. Ecotoxicology and Environmental Safety. 212. 111989–111989. 12 indexed citations
10.
Shi, Zunji, Gui Chen, Zheng Cao, et al.. (2021). Gut Microbiota and Its Metabolite Deoxycholic Acid Contribute to Sucralose Consumption-Induced Nonalcoholic Fatty Liver Disease. Journal of Agricultural and Food Chemistry. 69(13). 3982–3991. 30 indexed citations
11.
Liu, Shuai, Hua Zhong, Qiang Wang, et al.. (2021). Global Analysis of UDP Glucose Pyrophosphorylase (UDPGP) Gene Family in Plants: Conserved Evolution Involved in Cell Death. Frontiers in Plant Science. 12. 681719–681719. 9 indexed citations
12.
Chen, Gui, Zheng Cao, Zunji Shi, et al.. (2021). Microbiome analysis combined with targeted metabolomics reveal immunological anti-tumor activity of icariside I in a melanoma mouse model. Biomedicine & Pharmacotherapy. 140. 111542–111542. 36 indexed citations
13.
Wang, Liming, Tekleab Teka, Youcai Zhang, et al.. (2020). 1H NMR and UHPLC/Q-Orbitrap-MS-Based Metabolomics Combined with 16S rRNA Gut Microbiota Analysis Revealed the Potential Regulation Mechanism of Nuciferine in Hyperuricemia Rats. Journal of Agricultural and Food Chemistry. 68(47). 14059–14070. 44 indexed citations
14.
15.
Wu, Fang, Zunji Shi, Hehua Lei, et al.. (2020). Short-Term Intake of Hesperetin-7-O-Glucoside Affects Fecal Microbiota and Host Metabolic Homeostasis in Mice. Journal of Agricultural and Food Chemistry. 69(5). 1478–1486. 11 indexed citations
16.
Yuan, Peihong, Yuchen Song, Hehua Lei, et al.. (2020). In vitro effects of Triclocarban on adipogenesis in murine preadipocyte and human hepatocyte. Journal of Hazardous Materials. 399. 122829–122829. 19 indexed citations
17.
Chen, Fangfang, Caixiang Liu, Jingtao Zhang, et al.. (2018). Combined Metabonomic and Quantitative RT-PCR Analyses Revealed Metabolic Reprogramming Associated with Fusarium graminearum Resistance in Transgenic Arabidopsis thaliana. Frontiers in Plant Science. 8. 2177–2177. 12 indexed citations
18.
Liu, Caixiang, Fuhua Hao, Hehua Lei, et al.. (2016). Reprogramming of Seed Metabolism Facilitates Pre-harvest Sprouting Resistance of Wheat. Scientific Reports. 6(1). 20593–20593. 20 indexed citations
19.
Wang, Zhaohai, Ya Wang, Hong Xiao, et al.. (2014). Functional inactivation of UDP-N-acetylglucosamine pyrophosphorylase 1 (UAP1) induces early leaf senescence and defence responses in rice. Journal of Experimental Botany. 66(3). 973–987. 88 indexed citations
20.
Zha, Wenjun, Xiaoyan Cheng, Chuan Liu, et al.. (2010). A rice β-1,3-glucanase gene Osg1 is required for callose degradation in pollen development. Planta. 233(2). 309–323. 124 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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