Shao‐Qing Cai

4.8k total citations
169 papers, 4.0k citations indexed

About

Shao‐Qing Cai is a scholar working on Molecular Biology, Complementary and alternative medicine and Plant Science. According to data from OpenAlex, Shao‐Qing Cai has authored 169 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 95 papers in Molecular Biology, 48 papers in Complementary and alternative medicine and 48 papers in Plant Science. Recurrent topics in Shao‐Qing Cai's work include Natural product bioactivities and synthesis (50 papers), Traditional Chinese Medicine Analysis (34 papers) and Nephrotoxicity and Medicinal Plants (27 papers). Shao‐Qing Cai is often cited by papers focused on Natural product bioactivities and synthesis (50 papers), Traditional Chinese Medicine Analysis (34 papers) and Nephrotoxicity and Medicinal Plants (27 papers). Shao‐Qing Cai collaborates with scholars based in China, Japan and United States. Shao‐Qing Cai's co-authors include Ming‐Ying Shang, Feng Xu, Katsuko Komatsu, Xuan Wang, Shu Zhu, Guang‐Xue Liu, Donghui Yang, Chao‐Mei Ma, Hirotoshi Fushimi and Kun Zou and has published in prestigious journals such as PLoS ONE, Analytical Chemistry and Journal of Agricultural and Food Chemistry.

In The Last Decade

Shao‐Qing Cai

166 papers receiving 3.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shao‐Qing Cai China 38 2.2k 983 974 848 524 169 4.0k
Rui‐Chao Lin China 33 2.1k 0.9× 623 0.6× 563 0.6× 464 0.5× 250 0.5× 72 3.3k
Shuang‐Cheng Ma China 32 1.8k 0.8× 677 0.7× 1.3k 1.4× 626 0.7× 451 0.9× 249 4.0k
Xiu‐Wei Yang China 36 3.1k 1.4× 1.3k 1.3× 1.3k 1.3× 1.0k 1.2× 360 0.7× 267 5.1k
Jie Xing China 31 1.5k 0.7× 577 0.6× 881 0.9× 521 0.6× 193 0.4× 147 3.8k
Zhitao Liang Hong Kong 27 1.1k 0.5× 489 0.5× 593 0.6× 596 0.7× 283 0.5× 81 2.0k
Jianming Guo China 38 2.1k 1.0× 891 0.9× 819 0.8× 1.1k 1.3× 265 0.5× 161 4.0k
Maurice Vanhaelen Belgium 22 775 0.4× 761 0.8× 664 0.7× 422 0.5× 388 0.7× 119 2.4k
Dejan Nikolić United States 33 1.4k 0.6× 1.1k 1.2× 710 0.7× 275 0.3× 356 0.7× 96 3.1k
Ming‐Ying Shang China 25 867 0.4× 507 0.5× 425 0.4× 477 0.6× 293 0.6× 85 1.8k
Jeong Hill Park South Korea 42 3.6k 1.6× 1.3k 1.4× 877 0.9× 673 0.8× 245 0.5× 134 5.2k

Countries citing papers authored by Shao‐Qing Cai

Since Specialization
Citations

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

Fields of papers citing papers by Shao‐Qing Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shao‐Qing Cai. 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 Shao‐Qing Cai. The network helps show where Shao‐Qing Cai may publish in the future.

Co-authorship network of co-authors of Shao‐Qing Cai

This figure shows the co-authorship network connecting the top 25 collaborators of Shao‐Qing Cai. A scholar is included among the top collaborators of Shao‐Qing Cai 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 Shao‐Qing Cai. Shao‐Qing Cai 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.
Xu, Feng, Yanfei Huang, Hong‐Fu Li, et al.. (2024). 20 potentially new compounds and 11 new bioactive constituents found in Smilacis Glabrae Rhizoma utilizing HPLC‐DAD‐ESI‐IT‐TOF‐MSn. Phytochemical Analysis. 35(5). 1186–1196. 3 indexed citations
2.
Toume, Kazufumi, Javzan Batkhuu, Kohei Kazuma, et al.. (2020). Characterization of metabolites in Saposhnikovia divaricata root from Mongolia. Journal of Natural Medicines. 75(1). 11–27. 17 indexed citations
3.
Toume, Kazufumi, Javzan Batkhuu, Kohei Kazuma, et al.. (2019). Metabolomic profiling of Saposhnikoviae Radix from Mongolia by LC–IT–TOF–MS/MS and multivariate statistical analysis. Journal of Natural Medicines. 74(1). 170–188. 15 indexed citations
4.
Ishiuchi, Kan’ichiro, Xin Xu, Masaaki Minami, et al.. (2018). The immunostimulatory effects and chemical characteristics of heated honey. Journal of Ethnopharmacology. 228. 11–17. 14 indexed citations
5.
Wang, Jingzhe, Yifan Zhang, Feng Xu, et al.. (2018). Investigation of the in vivo metabolism of harpagoside and distribution of its metabolites in rats by HPLC‐IT‐TOF‐MSn. Biomedical Chromatography. 32(7). e4218–e4218. 7 indexed citations
6.
Zhang, Weiwei, Feng Xu, Ding Wang, Jia Ye, & Shao‐Qing Cai. (2018). Buyang Huanwu Decoction ameliorates ischemic stroke by modulating multiple targets with multiple components: In vitro evidences. Chinese Journal of Natural Medicines. 16(3). 194–202. 45 indexed citations
7.
Wang, Chaoqun, et al.. (2017). Differences in anti-inflammatory effects between two specifications of Scutellariae Radix in LPS-induced macrophages in vitro. Chinese Journal of Natural Medicines. 15(7). 515–524. 11 indexed citations
8.
9.
Qu, Like, Lixin Wang, Xingxin Yang, et al.. (2015). Sarsaparilla ( Smilax Glabra Rhizome) Extract Inhibits Cancer Cell Growth by S Phase Arrest, Apoptosis, and Autophagy via Redox-Dependent ERK1/2 Pathway. Cancer Prevention Research. 8(5). 464–474. 14 indexed citations
10.
Huang, Shuai, Feng Xu, Ming‐Ying Shang, et al.. (2014). Improvement and Application of Acute Blood Stasis Rat Model Aligned with the 3Rs (Reduction, Refinement and Replacement) of Humane Animal Experimentation. Chinese Journal of Integrative Medicine. 26(4). 292–298. 1 indexed citations
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Wang, Yingfeng, Donghui Yang, Yao Haiyan, et al.. (2012). The antidepressant effect of secoisolariciresinol, a lignan-type phytoestrogen constituent of flaxseed, on ovariectomized mice. Journal of Natural Medicines. 67(1). 222–227. 16 indexed citations
14.
Meng, Liqiang, Yinghui Wang, Ming‐Ying Shang, et al.. (2011). Astragaloside IV synergizes with ferulic acid to inhibit renal tubulointerstitial fibrosis in rats with obstructive nephropathy. British Journal of Pharmacology. 162(8). 1805–1818. 65 indexed citations
15.
Ma, Chao‐Mei, Shao‐Qing Cai, Jingrong Cui, et al.. (2005). The cytotoxic activity of ursolic acid derivatives. European Journal of Medicinal Chemistry. 40(6). 582–589. 207 indexed citations
16.
Wang, Yuhua, et al.. (2004). [An experimental study on anti-aging action of Cordyceps extract].. PubMed. 29(8). 773–6. 3 indexed citations
17.
Zhu, Shu, Kun Zou, Shao‐Qing Cai, Meselhy R. Meselhy, & Katsuko Komatsu. (2004). Simultaneous Determination of Triterpene Saponins in Ginseng Drugs by High-Performance Liquid Chromatography. Chemical and Pharmaceutical Bulletin. 52(8). 995–998. 44 indexed citations
18.
Zou, Kun, Shu Zhu, Meselhy R. Meselhy, et al.. (2002). Dammarane-Type Saponins from Panax japonicus and Their Neurite Outgrowth Activity in SK-N-SH Cells. Journal of Natural Products. 65(9). 1288–1292. 55 indexed citations
19.
Shang, Ming‐Ying, Shao‐Qing Cai, S. Kadota, & Yasuhiro Tezuka. (2001). Structural identification of trigoneoside VIII. Yaoxue xuebao. 36(11). 836–839. 2 indexed citations
20.
Wang, Xuan, et al.. (2000). Studies on the chemical constituents of the root of Asarummaximum. Zhongcaoyao. 31(12). 888–890. 4 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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