Hui‐Peng Song

727 total citations
29 papers, 612 citations indexed

About

Hui‐Peng Song is a scholar working on Molecular Biology, Complementary and alternative medicine and Pharmacology. According to data from OpenAlex, Hui‐Peng Song has authored 29 papers receiving a total of 612 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 10 papers in Complementary and alternative medicine and 6 papers in Pharmacology. Recurrent topics in Hui‐Peng Song's work include Traditional Chinese Medicine Analysis (6 papers), Metabolomics and Mass Spectrometry Studies (5 papers) and Pharmacological Effects of Natural Compounds (5 papers). Hui‐Peng Song is often cited by papers focused on Traditional Chinese Medicine Analysis (6 papers), Metabolomics and Mass Spectrometry Studies (5 papers) and Pharmacological Effects of Natural Compounds (5 papers). Hui‐Peng Song collaborates with scholars based in China, Macao and United States. Hui‐Peng Song's co-authors include Ping Li, Hua Yang, Haiping Hao, Yu Fu, Lian‐Wen Qi, Jun Chen, Bin Wu, Xin Dong, Jun Chen and Hui Zhang and has published in prestigious journals such as Journal of Hazardous Materials, Chemical Communications and Journal of Agricultural and Food Chemistry.

In The Last Decade

Hui‐Peng Song

27 papers receiving 608 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hui‐Peng Song China	15	342	179	134	103	82	29	612
Yuetao Liu China	20	574 1.7×	278 1.6×	261 1.9×	107 1.0×	93 1.1×	66	1.0k
Jin Qi China	11	298 0.9×	245 1.4×	112 0.8×	120 1.2×	54 0.7×	25	577
Yingfeng Du China	16	401 1.2×	136 0.8×	167 1.2×	123 1.2×	66 0.8×	43	643
Zhenzhong Yang China	13	284 0.8×	135 0.8×	106 0.8×	90 0.9×	63 0.8×	38	599
Nan Si China	19	523 1.5×	165 0.9×	161 1.2×	128 1.2×	127 1.5×	56	890
Zhanpeng Shang China	15	424 1.2×	278 1.6×	167 1.2×	138 1.3×	74 0.9×	38	701
Zhaoqing Meng China	15	311 0.9×	114 0.6×	159 1.2×	147 1.4×	68 0.8×	68	675
Kanaya Lal Dhar India	21	529 1.5×	128 0.7×	151 1.1×	219 2.1×	125 1.5×	36	1.0k
Han‐Qing Pang China	16	408 1.2×	313 1.7×	191 1.4×	106 1.0×	102 1.2×	44	758

Countries citing papers authored by Hui‐Peng Song

Since Specialization

Citations

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

Fields of papers citing papers by Hui‐Peng Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hui‐Peng Song. 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 Hui‐Peng Song. The network helps show where Hui‐Peng Song may publish in the future.

Co-authorship network of co-authors of Hui‐Peng Song

This figure shows the co-authorship network connecting the top 25 collaborators of Hui‐Peng Song. A scholar is included among the top collaborators of Hui‐Peng Song 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 Hui‐Peng Song. Hui‐Peng Song 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

Yang, Fan, Liang Zhang, Jia‐Yi Zheng, et al.. (2025). Mass spectral database-based methodologies for the annotation and discovery of natural products. Chinese Journal of Natural Medicines. 23(4). 410–420. 2 indexed citations

Yang, Di, Fugang Wei, Siyu Li, et al.. (2025). Integrated transcriptomic and targeted-metabolomic analysis reveal the co-upregulation and mechanism of saponin and starch biosynthesis in the underground parts of Panax notoginseng induced by inflorescence removal. Industrial Crops and Products. 226. 120643–120643.

Sun, Ruibo, Yuehua Chen, Xinru Zhang, et al.. (2025). Discrimination of easily confused tea leaves with similar appearance (Gougu tea vs. Gonglao tea) via an integrated method of electronic tongue, HPLC-QTOF-MS-VirtualTaste, electronic nose, electrochemical fingerprinting and machine learning. Journal of Food Composition and Analysis. 148. 108404–108404.

Zhang, Xinru, Yuehua Chen, Wenyu Wang, et al.. (2025). Discrimination of poisonous and medicinal plants with similar appearance (Asarum heterotropoides vs. Cynanchum paniculatum) via a fusion method of E-nose, E-tongue, LC-HR-Q-TOF-MS/MS, and electrochemical fingerprint spectra. Frontiers in Chemistry. 13. 1578126–1578126. 1 indexed citations

Meng, Yuting, et al.. (2025). M-NIG: mobile network information gain for EEG-based epileptic seizure prediction. Scientific Reports. 15(1). 15181–15181. 1 indexed citations

Ding, Zixuan, Yuehua Chen, Wenyu Wang, et al.. (2025). Integration of human sensory evaluation, intelligent E-tongue/E-nose systems, microbiomics, and metabolomics to comprehensively analyze flavor characteristics and dietary improvement mechanisms of processed Buddha's hand fruit. Food Bioscience. 71. 107248–107248. 2 indexed citations

Wang, Jiawei, Siyu Li, Ting‐Guo Kang, et al.. (2024). A strategy to distinguish similar traditional Chinese medicines by liquid chromatography–mass spectrometry, electronic senses, and gas chromatography–ion mobility spectrometry: Marsdeniae tenacissimae Caulis and Paederiae scandens Caulis as examples. Phytochemical Analysis. 36(1). 144–155. 4 indexed citations

Wang, Wenyu, Hui Zhang, Zhili Xu, et al.. (2024). Comprehensive exploration of a traditional Chinese medicinal plant of Magnolia officinalis based on high-coverage mass spectrometry and multidimensional chemical-biological analysis. Journal of Chromatography B. 1246. 124290–124290. 2 indexed citations

Song, Hui‐Peng, Zhili Xu, Wenyu Wang, et al.. (2024). Discovery of α-Glucosidase/Acetylcholinesterase Inhibitors from a Traditional Herbal Prescription of Qi-Li-Qiang-Xin Capsule by Time-Based Fractionation and Enzymatic Activity Assay. Natural Product Communications. 19(8). 1 indexed citations

10.

Song, Hui‐Peng, Hui Zhang, Rui Hu, et al.. (2021). A strategy to discover lead chemome from traditional Chinese medicines based on natural chromatogram-effect correlation (NCEC) and natural structure-effect correlation (NSEC): Mahonia bealei and Mahonia fortunei as a case study. Journal of Chromatography B. 1181. 122922–122922. 10 indexed citations

11.

Guo, Hua, et al.. (2021). A strategy to discover selective α-glucosidase/acetylcholinesterase inhibitors from five function-similar citrus herbs through LC-Q-TOF-MS, bioassay and virtual screening. Journal of Chromatography B. 1174. 122722–122722. 14 indexed citations

12.

Xiao, Honghe, Hongyan Li, Hui‐Peng Song, et al.. (2020). Shenzao jiannao oral liquid, an herbal formula, ameliorates cognitive impairments by rescuing neuronal death and triggering endogenous neurogenesis in AD-like mice induced by a combination of Aβ42 and scopolamine. Journal of Ethnopharmacology. 259. 112957–112957. 26 indexed citations

13.

Wu, Siqi, Hui‐Peng Song, Bin Li, et al.. (2018). A fast and accurate method for the identification of peroxidase inhibitors from Radix Salvia Miltiorrhizae by on-flow biochemical assay coupled with LC/Q-TOF-MS: comparison with ultrafiltration-based affinity selection. Analytical and Bioanalytical Chemistry. 410(18). 4311–4322. 20 indexed citations

14.

Song, Hui‐Peng, Hong Wang, Haiping Hao, et al.. (2017). Label-free pharmacological profiling based on dynamic mass redistribution for characterization and authentication of hazardous natural products. Journal of Hazardous Materials. 333. 265–274. 15 indexed citations

15.

Song, Hui‐Peng, Siqi Wu, Haiping Hao, et al.. (2016). A chemical family-based strategy for uncovering hidden bioactive molecules and multicomponent interactions in herbal medicines. Scientific Reports. 6(1). 23840–23840. 25 indexed citations

16.

Song, Hui‐Peng, Siqi Wu, Lian‐Wen Qi, et al.. (2016). A strategy for screening active lead compounds and functional compound combinations from herbal medicines based on pharmacophore filtering and knockout/knockin chromatography. Journal of Chromatography A. 1456. 176–186. 31 indexed citations

17.

Wu, Bin, Hui‐Peng Song, Zhou Xu, et al.. (2016). Screening of minor bioactive compounds from herbal medicines by in silico docking and the trace peak exposure methods. Journal of Chromatography A. 1436. 91–99. 43 indexed citations

18.

Lu, Jun, Hui‐Peng Song, Ping Li, et al.. (2015). Screening of direct thrombin inhibitors from Radix Salviae Miltiorrhizae by a peak fractionation approach. Journal of Pharmaceutical and Biomedical Analysis. 109. 85–90. 53 indexed citations

19.

Song, Hui‐Peng, Hui Zhang, Yu Fu, et al.. (2014). Screening for selective inhibitors of xanthine oxidase from Flos Chrysanthemum using ultrafiltration LC–MS combined with enzyme channel blocking. Journal of Chromatography B. 961. 56–61. 89 indexed citations

20.

Song, Hui‐Peng, Jun Chen, Haiping Hao, et al.. (2014). A strategy for screening of high-quality enzyme inhibitors from herbal medicines based on ultrafiltration LC-MS and in silico molecular docking. Chemical Communications. 51(8). 1494–1497. 80 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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