Ju Liang

919 total citations
52 papers, 720 citations indexed

About

Ju Liang is a scholar working on Molecular Biology, Biomaterials and Organic Chemistry. According to data from OpenAlex, Ju Liang has authored 52 papers receiving a total of 720 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 12 papers in Biomaterials and 9 papers in Organic Chemistry. Recurrent topics in Ju Liang's work include RNA Interference and Gene Delivery (10 papers), Nanoparticle-Based Drug Delivery (7 papers) and Metabolomics and Mass Spectrometry Studies (6 papers). Ju Liang is often cited by papers focused on RNA Interference and Gene Delivery (10 papers), Nanoparticle-Based Drug Delivery (7 papers) and Metabolomics and Mass Spectrometry Studies (6 papers). Ju Liang collaborates with scholars based in China, United States and Czechia. Ju Liang's co-authors include Wen‐Lan Wu, Junbo Li, Yubo Li, Yanjun Zhang, Zhiguo Hou, Zhenzhu Zhang, Xiao‐Ding Xu, Ren‐Xi Zhuo, Xian‐Zheng Zhang and Lei Wang and has published in prestigious journals such as Langmuir, Journal of Medicinal Chemistry and Analytica Chimica Acta.

In The Last Decade

Ju Liang

50 papers receiving 714 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ju Liang China 16 348 181 124 109 75 52 720
Bharti Mangla India 18 331 1.0× 213 1.2× 125 1.0× 87 0.8× 83 1.1× 47 902
Houli Li China 11 250 0.7× 204 1.1× 109 0.9× 64 0.6× 121 1.6× 21 998
Rongfeng Hu China 20 408 1.2× 229 1.3× 229 1.8× 114 1.0× 105 1.4× 68 1.1k
John Disouza India 17 267 0.8× 218 1.2× 134 1.1× 94 0.9× 70 0.9× 82 906
Chander Parkash Dora India 18 330 0.9× 302 1.7× 145 1.2× 130 1.2× 107 1.4× 29 1.2k
B. A. Zhuang China 20 217 0.6× 179 1.0× 228 1.8× 53 0.5× 101 1.3× 43 966
Suhair Sunoqrot Jordan 21 368 1.1× 361 2.0× 193 1.6× 143 1.3× 121 1.6× 53 1.3k
Gang Shen China 22 668 1.9× 94 0.5× 173 1.4× 112 1.0× 108 1.4× 50 1.3k
Chien-Tsu Chen Taiwan 13 317 0.9× 117 0.6× 135 1.1× 65 0.6× 164 2.2× 16 813
Chengying Shen China 19 277 0.8× 150 0.8× 66 0.5× 62 0.6× 78 1.0× 60 1.0k

Countries citing papers authored by Ju Liang

Since Specialization
Citations

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

Fields of papers citing papers by Ju Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ju Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Ju Liang. A scholar is included among the top collaborators of Ju Liang 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 Ju Liang. Ju Liang 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.
Yang, Jingya, Ming Sun, Ju Liang, et al.. (2025). A hyper-crosslinked ionic polymer catalyzing CO2 one-pot two-step to dimethyl carbonate via HCO3-/OH- synergy. Journal of environmental chemical engineering. 13(6). 120223–120223.
2.
Zhang, Mingjie, Ju Liang, Ying Liang, Xuening Li, & Wen‐Lan Wu. (2024). Efficient delivery of curcumin by functional solid lipid nanoparticles with promoting endosomal escape and liver targeting properties. Colloids and Surfaces B Biointerfaces. 244. 114177–114177. 5 indexed citations
3.
4.
Liang, Ju, et al.. (2024). Novel targeting liposomes with enhanced endosomal escape for co-delivery of doxorubicin and curcumin. Colloids and Surfaces B Biointerfaces. 245. 114267–114267. 4 indexed citations
5.
Liang, Ju, et al.. (2023). Preparation of nano-sized multi-vesicular vesicles (MVVs) and its application in co-delivery of doxorubicin and curcumin. Colloids and Surfaces B Biointerfaces. 229. 113471–113471. 2 indexed citations
6.
Wong, Darren C. J., Qingyun Li, Huimin Zhou, et al.. (2023). Dissecting the effect of ethylene in the transcriptional regulation of chilling treatment in grapevine leaves. Plant Physiology and Biochemistry. 196. 1084–1097. 16 indexed citations
7.
Liang, Ju, et al.. (2022). An Acid-Sensitive Nanofiber Conjugate Based on a Short Aromatic Peptide for Targeted Delivery of Doxorubicin in Liver Cancer. International Journal of Nanomedicine. Volume 17. 2961–2973. 9 indexed citations
8.
Su, Weiwei, Ju Liang, Qi Hua, Jing Hu, & Wei Qian. (2022). Values of combined C-reactive protein, procalcitonin and serum amyloid A in differential diagnosis of bacterial and non-bacterial community acquired pneumonia in children. Diagnostic Microbiology and Infectious Disease. 105(2). 115865–115865. 4 indexed citations
9.
Luo, Jing, Yang Cheng, Zhiwei Gong, et al.. (2019). Self-Assembled Peptide Functionalized Gold Nanopolyhedrons with Excellent Chiral Optical Properties. Langmuir. 36(2). 600–608. 28 indexed citations
10.
Li, Yubo, Lei Wang, Ju Liang, et al.. (2016). A Systematic Strategy for Screening and Application of Specific Biomarkers in Hepatotoxicity Using Metabolomics Combined With ROC Curves and SVMs. Toxicological Sciences. 150(2). 390–399. 26 indexed citations
11.
Yin, Jia, et al.. (2016). Plasma metabolic profiling analysis of cyclophosphamide-induced cardiotoxicity using metabolomics coupled with UPLC/QTOFMS and ROC curve. Journal of Chromatography B. 1033-1034. 428–435. 28 indexed citations
12.
Liang, Ju, et al.. (2016). Preparation and properties evaluation of a novel pH-sensitive liposomes based on imidazole-modified cholesterol derivatives. International Journal of Pharmaceutics. 518(1-2). 213–219. 34 indexed citations
13.
Liang, Ju, et al.. (2015). Self-Assembly and Acid-Responsive Behavior of Three Amphiphilic Peptides. Acta Physico-Chimica Sinica. 31(4). 722–728. 1 indexed citations
14.
Liang, Ju, Jia Yin, Shizhe Deng, et al.. (2015). Metabonomic study of the effects of different acupuncture directions on therapeutic efficacy. Journal of Chromatography B. 1009-1010. 87–95. 9 indexed citations
15.
Liang, Ju, et al.. (2015). Enhanced solubility and targeted delivery of curcumin by lipopeptide micelles. Journal of Biomaterials Science Polymer Edition. 26(6). 369–383. 13 indexed citations
16.
Liang, Ju, et al.. (2013). pH Responsive micelle self-assembled from a new amphiphilic peptide as anti-tumor drug carrier. Colloids and Surfaces B Biointerfaces. 114. 398–403. 82 indexed citations
17.
Liang, Ju, et al.. (2013). Long-circulating nanoliposomes (LCNs) sustained delivery of baicalein (BAI) with desired oral bioavailabilityin vivo. Drug Delivery. 20(8). 319–323. 33 indexed citations
18.
Liang, Ju. (2012). Controlling of Tectonic Evolution on Hydrocarbon Occurrence of Maracaibo Basin,Venezuela. Geoscience. 1 indexed citations
19.
Peng, Yong, et al.. (2009). THERMODYNAMIC CONSISTENCY FOR THE VAPOR-LIQUID EQUILIBRIUM DATA OF ASSOCIATING SYSTEM. Acta Petrolei Sinica(Petroleum Processing Section). 25(5). 717. 3 indexed citations
20.
Liang, Ju, Wen‐Lan Wu, Zhihong Liu, et al.. (2006). Study the oxidative injury of yeast cells by NADH autofluorescence. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 67(2). 355–359. 30 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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