Shan Lu

1.8k total citations
53 papers, 1.4k citations indexed

About

Shan Lu is a scholar working on Molecular Biology, Pharmaceutical Science and Pharmacology. According to data from OpenAlex, Shan Lu has authored 53 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 11 papers in Pharmaceutical Science and 9 papers in Pharmacology. Recurrent topics in Shan Lu's work include Drug Solubulity and Delivery Systems (9 papers), Pharmacological Effects of Natural Compounds (8 papers) and Crystallization and Solubility Studies (6 papers). Shan Lu is often cited by papers focused on Drug Solubulity and Delivery Systems (9 papers), Pharmacological Effects of Natural Compounds (8 papers) and Crystallization and Solubility Studies (6 papers). Shan Lu collaborates with scholars based in China, United States and France. Shan Lu's co-authors include Xiaodi Fan, Kai Li, Zhenzhen Li, Hongzhi Du, Guoqing Zhao, Yunyun Wang, Yan Cao, Zhenbo Su, Xuyang Li and Meng Lu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Food Chemistry and Chemical Engineering Journal.

In The Last Decade

Shan Lu

52 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shan Lu China 22 521 189 183 158 150 53 1.4k
Jianfang Feng China 27 785 1.5× 118 0.6× 419 2.3× 105 0.7× 163 1.1× 68 1.9k
Zhongxi Zhao China 30 989 1.9× 123 0.7× 189 1.0× 233 1.5× 287 1.9× 82 2.3k
Chi Teng Vong Macao 25 1.0k 2.0× 201 1.1× 78 0.4× 283 1.8× 306 2.0× 55 2.2k
Vincenzo Quagliariello Italy 27 543 1.0× 134 0.7× 95 0.5× 92 0.6× 89 0.6× 63 1.9k
Faisal Imam Saudi Arabia 23 410 0.8× 59 0.3× 135 0.7× 183 1.2× 161 1.1× 88 1.5k
Roshan M. Borkar India 21 400 0.8× 75 0.4× 113 0.6× 75 0.5× 168 1.1× 92 1.6k
Punniyakoti T. Veeraveedu Japan 33 1.0k 2.0× 86 0.5× 56 0.3× 371 2.3× 107 0.7× 96 3.1k
Ling Tao China 23 541 1.0× 139 0.7× 61 0.3× 116 0.7× 220 1.5× 81 1.4k
Alireza Garjani Iran 28 810 1.6× 160 0.8× 170 0.9× 185 1.2× 179 1.2× 103 2.2k

Countries citing papers authored by Shan Lu

Since Specialization
Citations

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

Fields of papers citing papers by Shan Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shan Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Shan Lu. A scholar is included among the top collaborators of Shan Lu 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 Shan Lu. Shan Lu 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.
Zhang, Bolin, et al.. (2025). Targeting the ROCK2/UBA52/DRP1 axis enhances ferroptosis and overcomes pemigatinib resistance in Cholangiocarcinoma. Cell Death and Disease. 16(1). 493–493. 1 indexed citations
2.
He, Jianhua, Yu Gao, Yujie Guo, et al.. (2024). Navigating the landscape: Prospects and hurdles in targeting vascular smooth muscle cells for atherosclerosis diagnosis and therapy. Journal of Controlled Release. 366. 261–281. 9 indexed citations
3.
Zhang, Xiang, Wenmin Pi, Yisong Shu, et al.. (2024). Natural diterpene carrier-free hydrogel enhances antigen presentation and intensifies T cell activation for tumor immunotherapy. Chemical Engineering Journal. 500. 156383–156383. 4 indexed citations
4.
5.
6.
Fang, Xiaoping, et al.. (2022). Improving physicochemical properties and pharmacological activities of ternary co-amorphous systems. European Journal of Pharmaceutics and Biopharmaceutics. 181. 22–35. 27 indexed citations
7.
Fang, Xiaoping, Yi Hu, Lintao Han, et al.. (2022). Exploring the Formation Mechanism of Coamorphous Andrographolide-Oxymatrine Based on Molecular Dynamics and Spectroscopy. Journal of Pharmaceutical Sciences. 111(7). 2056–2071. 22 indexed citations
8.
Li, Zhenzhen, et al.. (2021). The role of metabolic reprogramming in tubular epithelial cells during the progression of acute kidney injury. Cellular and Molecular Life Sciences. 78(15). 5731–5741. 65 indexed citations
9.
Li, Bin, Yi Hu, Yüjie Guo, et al.. (2021). Coamorphous System of Florfenicol-Oxymatrine for Improving the Solubility and Dissolution Rate of Florfenicol: Preparation, Characterization and Molecular Dynamics Simulation. Journal of Pharmaceutical Sciences. 110(6). 2544–2554. 42 indexed citations
10.
Li, Bin, Yi Hu, Ting Wu, et al.. (2021). Apigenin-oxymatrine binary co-amorphous mixture: Enhanced solubility, bioavailability, and anti-inflammatory effect. Food Chemistry. 373(Pt B). 131485–131485. 58 indexed citations
11.
Li, Hang, Min Wang, Hui Zhou, Shan Lu, & Bo Zhang. (2020). <p>Long Noncoding RNA <em>EBLN3P</em> Promotes the Progression of Liver Cancer via Alteration of microRNA-144-3p/DOCK4 Signal</p>. Cancer Management and Research. Volume 12. 9339–9349. 47 indexed citations
12.
Lu, Shan, Dong Liu, Jing Xiao, Genyang Cheng, & Zhanzheng Zhao. (2020). Abnormal lncRNA CCAT1/microRNA-155/SIRT1 axis promoted inflammatory response and apoptosis of tubular epithelial cells in LPS caused acute kidney injury. Mitochondrion. 53. 76–90. 29 indexed citations
13.
Li, Linlin, Shan Lu, & Xiaodi Fan. (2020). Silencing of miR-302b-3p alleviates isoflurane-induced neuronal injury by regulating PTEN expression and AKT pathway. Brain Research Bulletin. 168. 89–99. 8 indexed citations
14.
Li, Hang, et al.. (2019). siRNA‐mediated silencing of PAI‐1 gene acts as a promoter over the recanalization of endothelial progenitor cells in rats with venous thrombosis. Journal of Cellular Physiology. 234(11). 19921–19932. 3 indexed citations
15.
Lu, Xiaoyu, Min Fang, Yue Yang, et al.. (2019). PEG-conjugated triacontanol micelles as docetaxel delivery systems for enhanced anti-cancer efficacy. Drug Delivery and Translational Research. 10(1). 122–135. 20 indexed citations
16.
Mu, Mao, et al.. (2018). Ferulic acid attenuates liver fibrosis and hepatic stellate cell activation via inhibition of TGF-β/Smad signaling pathway. SHILAP Revista de lepidopterología. 2 indexed citations
17.
Lu, Shan, Hang Li, Kai Li, & Xiaodi Fan. (2018). HDAC9 promotes brain ischemic injury by provoking IκBα/NF-κB and MAPKs signaling pathways. Biochemical and Biophysical Research Communications. 503(3). 1322–1329. 36 indexed citations
18.
Fan, Xiaodi, et al.. (2018). HDAC11 deletion reduces fructose-induced cardiac dyslipidemia, apoptosis and inflammation by attenuating oxidative stress injury. Biochemical and Biophysical Research Communications. 503(2). 444–451. 40 indexed citations
19.
Lu, Shan, et al.. (2018). Novel cinnamaldehyde-based aspirin derivatives for the treatment of colorectal cancer. Bioorganic & Medicinal Chemistry Letters. 28(17). 2869–2874. 12 indexed citations
20.
Lu, Shan, et al.. (2016). Formulation, optimization, and pharmacodynamic evaluation of chitosan/phospholipid/&beta;-cyclodextrin microspheres. Drug Design Development and Therapy. 10. 417–417. 15 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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