Huiqin Pan

976 total citations
31 papers, 843 citations indexed

About

Huiqin Pan is a scholar working on Molecular Biology, Pharmacology and Complementary and alternative medicine. According to data from OpenAlex, Huiqin Pan has authored 31 papers receiving a total of 843 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 10 papers in Pharmacology and 10 papers in Complementary and alternative medicine. Recurrent topics in Huiqin Pan's work include Traditional Chinese Medicine Analysis (10 papers), Metabolomics and Mass Spectrometry Studies (8 papers) and Analytical Chemistry and Chromatography (7 papers). Huiqin Pan is often cited by papers focused on Traditional Chinese Medicine Analysis (10 papers), Metabolomics and Mass Spectrometry Studies (8 papers) and Analytical Chemistry and Chromatography (7 papers). Huiqin Pan collaborates with scholars based in China, United States and Australia. Huiqin Pan's co-authors include Wanying Wu, Wenzhi Yang, Changliang Yao, De‐an Guo, Shuai Yao, Xiaojian Shi, Min Yang, Yibei Zhang, Yao Shen and De‐an Guo and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Journal of Chromatography A and Molecules.

In The Last Decade

Huiqin Pan

29 papers receiving 838 citations

Peers

Huiqin Pan
Huiqin Pan
Citations per year, relative to Huiqin Pan Huiqin Pan (= 1×) peers Jiatao Feng

Countries citing papers authored by Huiqin Pan

Since Specialization
Citations

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

Fields of papers citing papers by Huiqin Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huiqin Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Huiqin Pan. A scholar is included among the top collaborators of Huiqin Pan 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 Huiqin Pan. Huiqin Pan 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.
Lan, Lan, Jiajia Yuan, Rui Feng, et al.. (2025). A Comprehensive Investigation of Lipid Profile During the Solid-State Fermentation of Rice by Monascus purpureus. Foods. 14(3). 537–537. 1 indexed citations
2.
Pan, Huiqin, Rui Feng, Ying Tan, et al.. (2024). Determination of Puberulic Acid in Monascus-Fermented Red Yeast Rice by LC-MS/MS Combined with Precolumn Derivatization. Toxins. 17(1). 11–11. 1 indexed citations
3.
Qin, Xiaoya, Rui Feng, Heng Zhou, et al.. (2024). Detection of Total Aflatoxins in Herbal Medicines Based on Lateral Flow Assay with Contamination Ratio Model. Molecules. 29(24). 5827–5827.
5.
Yin, Gaofei, Huiqin Pan, Wei Zhao, et al.. (2023). Polar-facing slopes showed stronger greening trend than equatorial-facing slopes in Tibetan plateau grasslands. Agricultural and Forest Meteorology. 341. 109698–109698. 9 indexed citations
7.
Pan, Huiqin, Heng Zhou, Miao Shui, et al.. (2021). Plant metabolomics for studying the effect of two insecticides on comprehensive constituents of Lonicerae Japonicae Flos. Chinese Journal of Natural Medicines. 19(1). 70–80. 10 indexed citations
8.
Pan, Huiqin, Heng Zhou, Miao Shui, et al.. (2019). An integrated approach for global profiling of multi-type constituents: Comprehensive chemical characterization of Lonicerae Japonicae Flos as a case study. Journal of Chromatography A. 1613. 460674–460674. 54 indexed citations
9.
Pan, Huiqin, Changliang Yao, Shuai Yao, et al.. (2019). A metabolomics strategy for authentication of plant medicines with multiple botanical origins, a case study of Uncariae Rammulus Cum Uncis. Journal of Separation Science. 43(6). 1043–1050. 29 indexed citations
10.
Yao, Changliang, Huiqin Pan, Hui Wang, et al.. (2018). Global profiling combined with predicted metabolites screening for discovery of natural compounds: Characterization of ginsenosides in the leaves of Panax notoginseng as a case study. Journal of Chromatography A. 1538. 34–44. 72 indexed citations
13.
Pan, Huiqin, Wenzhi Yang, Changliang Yao, et al.. (2017). Mass defect filtering-oriented classification and precursor ions list-triggered high-resolution mass spectrometry analysis for the discovery of indole alkaloids from Uncaria sinensis. Journal of Chromatography A. 1516. 102–113. 67 indexed citations
14.
16.
17.
Yang, Wenzhi, Yibei Zhang, Huiqin Pan, et al.. (2016). Supercritical fluid chromatography for separation and preparation of tautomeric 7-epimeric spiro oxindole alkaloids from Uncaria macrophylla. Journal of Pharmaceutical and Biomedical Analysis. 134. 352–360. 38 indexed citations
18.
Feng, Ruihong, Jinjun Hou, Huiqin Pan, et al.. (2015). An efficient and target-oriented sample enrichment method for preparative separation of minor alkaloids by pH-zone-refining counter-current chromatography. Journal of Chromatography A. 1409. 159–165. 17 indexed citations
20.
Pan, Huiqin, Wenzhi Yang, Yibei Zhang, et al.. (2015). An integrated strategy for the systematic characterization and discovery of new indole alkaloids from Uncaria rhynchophylla by UHPLC/DAD/LTQ-Orbitrap-MS. Analytical and Bioanalytical Chemistry. 407(20). 6057–6070. 58 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026