Xiaopeng Chen

627 total citations
38 papers, 484 citations indexed

About

Xiaopeng Chen is a scholar working on Molecular Biology, Pharmacology and Complementary and alternative medicine. According to data from OpenAlex, Xiaopeng Chen has authored 38 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 14 papers in Pharmacology and 14 papers in Complementary and alternative medicine. Recurrent topics in Xiaopeng Chen's work include Traditional Chinese Medicine Analysis (12 papers), Pharmacological Effects of Natural Compounds (6 papers) and Natural product bioactivities and synthesis (4 papers). Xiaopeng Chen is often cited by papers focused on Traditional Chinese Medicine Analysis (12 papers), Pharmacological Effects of Natural Compounds (6 papers) and Natural product bioactivities and synthesis (4 papers). Xiaopeng Chen collaborates with scholars based in China, United States and Netherlands. Xiaopeng Chen's co-authors include Changxiao Liu, Wei Li, Lanlan Zhang, Xuefeng Xiao, Xuefeng Xiao, Jun He, Yanxu Chang, Huizi Ouyang, Pamela J. Lein and Galen W. Miller and has published in prestigious journals such as Molecules, Journal of Ethnopharmacology and BioMed Research International.

In The Last Decade

Xiaopeng Chen

33 papers receiving 481 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaopeng Chen China 12 227 128 123 71 45 38 484
Yueting Li China 13 302 1.3× 100 0.8× 85 0.7× 81 1.1× 47 1.0× 37 516
Si-Yuan Pan China 9 198 0.9× 99 0.8× 82 0.7× 78 1.1× 58 1.3× 12 520
Zhengcai Ju China 11 296 1.3× 131 1.0× 75 0.6× 60 0.8× 47 1.0× 28 429
Songsong Wang China 10 195 0.9× 79 0.6× 97 0.8× 49 0.7× 53 1.2× 13 414
Xiaohong Gong China 12 193 0.9× 173 1.4× 82 0.7× 107 1.5× 55 1.2× 23 460
Baoqin Lin China 17 320 1.4× 108 0.8× 123 1.0× 122 1.7× 87 1.9× 31 676
Zhaoqing Meng China 15 311 1.4× 159 1.2× 114 0.9× 147 2.1× 68 1.5× 68 675
Dae-Gill Kang South Korea 11 354 1.6× 68 0.5× 75 0.6× 86 1.2× 43 1.0× 27 582

Countries citing papers authored by Xiaopeng Chen

Since Specialization
Citations

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

Fields of papers citing papers by Xiaopeng Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaopeng Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaopeng Chen. A scholar is included among the top collaborators of Xiaopeng Chen 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 Xiaopeng Chen. Xiaopeng Chen 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.
2.
Zhang, Min, Xiaopeng Chen, Haiyang Yu, et al.. (2024). Dan-shen Yin promotes bile acid metabolism and excretion to prevent atherosclerosis via activating FXR/BSEP signaling pathway. Journal of Ethnopharmacology. 330. 118209–118209. 12 indexed citations
3.
Liu, Hong, et al.. (2022). Network Toxicology Guided Mechanism Study on the Association between Thyroid Function and Exposures to Polychlorinated Biphenyls Mixture. BioMed Research International. 2022(1). 2394398–2394398. 6 indexed citations
4.
Ma, Ruishuang, et al.. (2022). Novel perspectives on the therapeutic role of cryptotanshinone in the management of stem cell behaviors for high-incidence diseases. Frontiers in Pharmacology. 13. 971444–971444. 2 indexed citations
5.
Tang, Qian, Jing Liu, Han Zhang, et al.. (2022). Modulating effect of Xuanfei Baidu granule on host metabolism and gut microbiome in rats. Frontiers in Pharmacology. 13. 922642–922642. 8 indexed citations
6.
Chen, Xiaopeng, et al.. (2021). Combining Network Pharmacology with Molecular Docking for Mechanistic Research on Thyroid Dysfunction Caused by Polybrominated Diphenyl Ethers and Their Metabolites. BioMed Research International. 2021(1). 2961747–2961747. 11 indexed citations
7.
Chen, Xiaopeng, et al.. (2021). Application of multivariate statistical analysis and network pharmacology to explore the mechanism of Danggui Liuhuang Tang in treating perimenopausal syndrome. Journal of Ethnopharmacology. 284. 114543–114543. 4 indexed citations
8.
Wang, Yucheng, Keyu Feng, Mengrong Li, et al.. (2020). Identification of prototypes from Ligustri Lucidi Fructus in rat plasma based on a data‐dependent acquisition and multicomponent pharmacokinetic study. Biomedical Chromatography. 34(7). e4833–e4833. 9 indexed citations
9.
Chen, Qian, Jiaqi Wu, Haiyang Yu, et al.. (2020). Shenyan Kangfu tablet alleviates diabetic kidney disease through attenuating inflammation and modulating the gut microbiota. Journal of Natural Medicines. 75(1). 84–98. 30 indexed citations
10.
11.
Ge, Yuanyuan, Shujing Chen, Qian Luo, et al.. (2019). The Tissue Distribution of Four Major Coumarins after Oral Administration of Angelicae Pubescentis Radix Extract to Rats Using Ultra-High-Performance Liquid Chromatography. Evidence-based Complementary and Alternative Medicine. 2019. 1–8. 9 indexed citations
12.
Miller, Galen W., et al.. (2019). Changes in thyroid hormone activity disrupt photomotor behavior of larval zebrafish. NeuroToxicology. 74. 47–57. 25 indexed citations
13.
Zhang, Huamei, Hui Wang, Juan Wei, et al.. (2018). Comparison of the Active Compositions between Raw and Processed Epimedium from Different Species. Molecules. 23(7). 1656–1656. 24 indexed citations
14.
15.
Ouyang, Huizi, et al.. (2018). A Validated LC‐MS/MS Method for Simultaneous Determination of Six Aconitum Alkaloids and Seven Ginsenosides in Rat Plasma and Application to Pharmacokinetics of Shen‐Fu Prescription. Evidence-based Complementary and Alternative Medicine. 2018(1). 5107083–5107083. 5 indexed citations
16.
Wei, Juan, Li Li, Huizi Ouyang, et al.. (2018). Development of a HPLC‐MS/MS Method to Determine 11 Bioactive Compounds in Tongmai Yangxin Pill and Application to a Pharmacokinetic Study in Rats. Evidence-based Complementary and Alternative Medicine. 2018(1). 6460393–6460393. 11 indexed citations
17.
Zhang, Zixin, Xiaopeng Chen, Jinchang Liu, et al.. (2018). An improved UPLC method for determining uric acid in rat serum and comparison study with commercial colorimetric kits. Acta Chromatographica. 31(3). 201–205. 11 indexed citations
18.
Chen, Xiaopeng, Wei Li, Xuefeng Xiao, Lanlan Zhang, & Changxiao Liu. (2013). Phytochemical and pharmacological studies on Radix Angelica sinensis. Chinese Journal of Natural Medicines. 11(6). 577–587. 105 indexed citations
19.
Chen, Xiaopeng, et al.. (2010). Extraction and Content Determination of Shikimic Acid in Pinus elliottii Engelm. Agricultural Science and Technology Hunan. 11(3). 177–181.
20.
Chen, Xiaopeng, et al.. (2010). Determination of the content of shikimic acid in pine needles by high performance liquid chromatography. Chemical Research and Application. 22(7). 943–947. 1 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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