Liuqing Di

3.2k total citations · 1 hit paper
124 papers, 2.5k citations indexed

About

Liuqing Di is a scholar working on Molecular Biology, Pharmacology and Complementary and alternative medicine. According to data from OpenAlex, Liuqing Di has authored 124 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Molecular Biology, 28 papers in Pharmacology and 28 papers in Complementary and alternative medicine. Recurrent topics in Liuqing Di's work include Pharmacological Effects of Natural Compounds (19 papers), Traditional Chinese Medicine Analysis (19 papers) and Phytochemistry and Biological Activities (18 papers). Liuqing Di is often cited by papers focused on Pharmacological Effects of Natural Compounds (19 papers), Traditional Chinese Medicine Analysis (19 papers) and Phytochemistry and Biological Activities (18 papers). Liuqing Di collaborates with scholars based in China, United States and Canada. Liuqing Di's co-authors include Jinjun Shan, Junsong Li, Ruoning Wang, Baochang Cai, Kang An, Tong Xie, Lihong Hu, Lingchong Wang, Wei Zhou and Shouchuan Wang and has published in prestigious journals such as Nature Communications, Nano Letters and ACS Nano.

In The Last Decade

Liuqing Di

123 papers receiving 2.5k citations

Hit Papers

Immune Exosomes Loading Self-Assembled Nanomicelles Trave... 2023 2026 2024 2025 2023 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liuqing Di China 30 1.4k 463 383 346 283 124 2.5k
Xiaobin Jia China 31 1.2k 0.9× 508 1.1× 332 0.9× 338 1.0× 162 0.6× 128 2.5k
Xiangchun Shen China 29 1.3k 0.9× 384 0.8× 285 0.7× 406 1.2× 200 0.7× 200 2.9k
Jie Song China 34 1.4k 1.0× 540 1.2× 303 0.8× 315 0.9× 125 0.4× 84 2.7k
Shuli Man China 31 1.9k 1.4× 293 0.6× 220 0.6× 396 1.1× 313 1.1× 114 2.9k
Shengpeng Wang Macao 35 1.8k 1.3× 541 1.2× 533 1.4× 522 1.5× 310 1.1× 94 3.7k
Jingyuan Wan China 38 1.3k 1.0× 636 1.4× 419 1.1× 350 1.0× 282 1.0× 112 3.5k
Xiaoxv Dong China 27 1.0k 0.8× 518 1.1× 317 0.8× 805 2.3× 389 1.4× 63 2.9k
Ravirajsinh N. Jadeja United States 31 985 0.7× 417 0.9× 270 0.7× 450 1.3× 236 0.8× 102 3.2k
Zhi‐Qi Yin China 31 1.5k 1.1× 350 0.8× 227 0.6× 667 1.9× 358 1.3× 160 3.1k
Jong‐Hoon Kim South Korea 33 1.7k 1.2× 630 1.4× 421 1.1× 545 1.6× 165 0.6× 125 3.3k

Countries citing papers authored by Liuqing Di

Since Specialization
Citations

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

Fields of papers citing papers by Liuqing Di

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liuqing Di

This figure shows the co-authorship network connecting the top 25 collaborators of Liuqing Di. A scholar is included among the top collaborators of Liuqing Di 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 Liuqing Di. Liuqing Di 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.
Di, Liuqing, et al.. (2025). Rational design of terminal deoxynucleotidyl transferase for RNA primer elongation. International Journal of Biological Macromolecules. 309(Pt 1). 142712–142712. 1 indexed citations
2.
Wang, Xue, Hanwen Zhang, Yingjie Zhang, et al.. (2025). Intranasal hybrid vesicles delivering personalized in situ nano-vaccines induce glioblastoma remodeling to sensitize immunotherapy. Nano Today. 65. 102840–102840. 3 indexed citations
3.
Di, Liuqing, et al.. (2025). Unveiling the flavor secrets of ginger peel: Insights from GC-MS and GC-IMS. Journal of Food Composition and Analysis. 148. 108414–108414.
4.
Chen, Wenjing, et al.. (2024). Nasal administration of Xingnaojing biomimetic nanoparticles for the treatment of ischemic stroke. International Journal of Pharmaceutics. 666. 124830–124830. 2 indexed citations
5.
Chen, Xiaojin, et al.. (2024). Tumor Metabolism: A New Field for the Treatment of Glioma. Bioconjugate Chemistry. 35(8). 1116–1141. 3 indexed citations
6.
Xu, Yuanxin, et al.. (2022). Mineral medicine: from traditional drugs to multifunctional delivery systems. Chinese Medicine. 17(1). 21–21. 21 indexed citations
7.
Zhou, Bingqian, Wen Zhang, Junsong Li, et al.. (2021). Improved efficacy of Panax notoginseng saponin loaded into BSP/alginate microspheres for the treatment of alcoholic gastric ulcers. International Journal of Pharmaceutics. 596. 120218–120218. 22 indexed citations
8.
Wang, Ruoning, Yujie Yang, Mengmeng Yang, et al.. (2020). Synergistic inhibition of metastatic breast cancer by dual-chemotherapy with excipient-free rhein/DOX nanodispersions. Journal of Nanobiotechnology. 18(1). 116–116. 37 indexed citations
9.
Yang, Ying, Jing Ji, Liuqing Di, et al.. (2020). Resource, chemical structure and activity of natural polysaccharides against alcoholic liver damages. Carbohydrate Polymers. 241. 116355–116355. 75 indexed citations
10.
Qian, Wenjuan, Kang An, Tong Xie, et al.. (2018). Gas chromatography-mass spectrometry based plasma metabolomics of H1N1-induced inflammation in mice and intervention with Flos Lonicerae Japonica-Fructus Forsythiae herb pair. Journal of Chromatography B. 1092. 122–130. 24 indexed citations
11.
Shan, Jinjun, Wenjuan Qian, Kang An, et al.. (2018). Lipid profile perturbations in the plasma and lungs of mice with LPS-induced acute lung injury revealed by UHPLC-ESI-Q Exactive HF MS analysis. Journal of Pharmaceutical and Biomedical Analysis. 162. 242–248. 18 indexed citations
12.
Bao, Beihua, Kang An, Yang Zhao, et al.. (2017). A selective HPLC–MS/MS method for quantification of SND-117 in rat plasma and its application to a pharmacokinetic study. Journal of Chromatography B. 1052. 60–65. 7 indexed citations
15.
Zhou, Wei, Xiaobin Tan, Jinjun Shan, et al.. (2014). Effect of chito-oligosaccharide on the intestinal absorptions of phenylethanoid glycosides in Fructus Forsythiae extract. Phytomedicine. 21(12). 1549–1558. 24 indexed citations
16.
Zhou, Wei, Xiaobin Tan, Jinjun Shan, et al.. (2014). Study on the Main Components Interaction from Flos Lonicerae and Fructus Forsythiae and Their Dissolution In Vitro and Intestinal Absorption in Rats. PLoS ONE. 9(10). e109619–e109619. 12 indexed citations
17.
Liu, Shijia, et al.. (2013). Simultaneous determination of phenolic acids by UPLC–MS/MS in rat plasma and its application in pharmacokinetic study after oral administration of Flos Lonicerae preparations. Journal of Pharmaceutical and Biomedical Analysis. 86. 189–197. 17 indexed citations
18.
Di, Liuqing. (2011). Quantitative analysis of gigantol in Mailuoning injection. Yaowu fenxi zazhi. 2 indexed citations
19.
Di, Liuqing. (2009). Analysis of Spray-Drying Traditional Chinese Medicine and Its Research Progress. 1 indexed citations
20.
Di, Liuqing. (2007). Study on the Quality of Eucommia Ulmodies Processing in Planting by Different Methods. Zhongguo zhongyiyao xinxi zazhi. 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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