Mengjie Rui

819 total citations
31 papers, 701 citations indexed

About

Mengjie Rui is a scholar working on Molecular Biology, Biomedical Engineering and Biomaterials. According to data from OpenAlex, Mengjie Rui has authored 31 papers receiving a total of 701 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 10 papers in Biomedical Engineering and 8 papers in Biomaterials. Recurrent topics in Mengjie Rui's work include Nanoparticle-Based Drug Delivery (8 papers), RNA Interference and Gene Delivery (6 papers) and Computational Drug Discovery Methods (5 papers). Mengjie Rui is often cited by papers focused on Nanoparticle-Based Drug Delivery (8 papers), RNA Interference and Gene Delivery (6 papers) and Computational Drug Discovery Methods (5 papers). Mengjie Rui collaborates with scholars based in China, United States and India. Mengjie Rui's co-authors include Chunlai Feng, Qi Zhang, Ximing Xu, Yuhong Xu, Yanru Ge, Yuanrong Xin, Haisheng Zhang, Hailing Tang, Wei Ji and Song Xue and has published in prestigious journals such as Journal of Controlled Release, Journal of Chromatography A and International Journal of Pharmaceutics.

In The Last Decade

Mengjie Rui

29 papers receiving 694 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mengjie Rui China 16 301 267 210 113 63 31 701
Hongxia Duan China 10 230 0.8× 162 0.6× 170 0.8× 30 0.3× 102 1.6× 10 618
Zhiguo J. Song United States 21 630 2.1× 142 0.5× 44 0.2× 52 0.5× 104 1.7× 59 1.8k
Wanhua Guo China 12 352 1.2× 118 0.4× 229 1.1× 74 0.7× 78 1.2× 15 737
Jianfeng Cai United States 19 844 2.8× 93 0.3× 74 0.4× 93 0.8× 190 3.0× 37 1.3k
Manisha Ahir India 14 246 0.8× 158 0.6× 198 0.9× 29 0.3× 70 1.1× 21 692
Palwinder Singh India 21 378 1.3× 112 0.4× 97 0.5× 53 0.5× 138 2.2× 51 1.0k
Ruyi Jin China 16 138 0.5× 69 0.3× 21 0.1× 58 0.5× 38 0.6× 37 564
Priyanka Upadhyay India 12 178 0.6× 94 0.4× 98 0.5× 25 0.2× 47 0.7× 27 420

Countries citing papers authored by Mengjie Rui

Since Specialization
Citations

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

Fields of papers citing papers by Mengjie Rui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mengjie Rui

This figure shows the co-authorship network connecting the top 25 collaborators of Mengjie Rui. A scholar is included among the top collaborators of Mengjie Rui 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 Mengjie Rui. Mengjie Rui 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.
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Rui, Mengjie, et al.. (2025). pH-responsive polymeric nanoparticles for peptide delivery: Synergistic STING pathway activation enhances tumor immunotherapy. International Journal of Pharmaceutics X. 10. 100412–100412.
3.
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Rui, Mengjie, Wen Zhang, Mi Ke, et al.. (2023). Design and evaluation of α-helix-based peptide inhibitors for blocking PD-1/PD-L1 interaction. International Journal of Biological Macromolecules. 253(Pt 2). 126811–126811. 7 indexed citations
5.
Wang, Siqi, Jianping Yang, Xuefei Yu, et al.. (2022). A Strategy for the Effective Optimization of Pharmaceutical Formulations Based on Parameter-Optimized Support Vector Machine Model. AAPS PharmSciTech. 23(1). 66–66. 6 indexed citations
6.
Ji, Wei, et al.. (2022). Deep learning-based multi-drug synergy prediction model for individually tailored anti-cancer therapies. Frontiers in Pharmacology. 13. 1032875–1032875. 12 indexed citations
7.
Rui, Mengjie, Yu Zhou, Wen Zhang, et al.. (2022). Identification of Potential RBPJ-Specific Inhibitors for Blocking Notch Signaling in Breast Cancer Using a Drug Repurposing Strategy. Pharmaceuticals. 15(5). 556–556. 9 indexed citations
8.
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Zhang, Qi, et al.. (2020). Use of Gamithromycin as a Chiral Selector in Capillary Electrophoresis. Journal of Chromatography A. 1624. 461099–461099. 23 indexed citations
10.
Feng, Chunlai, et al.. (2019). Gene Expression Data Based Deep Learning Model for Accurate Prediction of Drug-Induced Liver Injury in Advance. Journal of Chemical Information and Modeling. 59(7). 3240–3250. 30 indexed citations
11.
Feng, Chunlai, Haisheng Zhang, Jiaming Chen, et al.. (2019). Ratiometric co-encapsulation and co-delivery of doxorubicin and paclitaxel by tumor-targeted lipodisks for combination therapy of breast cancer. International Journal of Pharmaceutics. 560. 191–204. 39 indexed citations
12.
Zhang, Qi, Jian Zhang, Song Xue, et al.. (2018). Enhanced enantioselectivity of native α‐cyclodextrins by the synergy of chiral ionic liquids in capillary electrophoresis. Journal of Separation Science. 41(24). 4525–4532. 36 indexed citations
13.
Feng, Chunlai, et al.. (2018). Preparation and optimization of poly (lactic acid) nanoparticles loaded with fisetin to improve anti-cancer therapy. International Journal of Biological Macromolecules. 125. 700–710. 94 indexed citations
14.
Wang, Ming‐Qi, Xiaoning Liu, Zhongjian Guo, Chunlai Feng, & Mengjie Rui. (2018). Synthesis of quinolinium-based probes and studies of their effects for selective G-quadruplex DNA targeting. New Journal of Chemistry. 42(7). 4933–4939. 11 indexed citations
15.
Feng, Chunlai, Mengjie Rui, Haijun Shen, et al.. (2017). Tumor-specific delivery of doxorubicin through conjugation of pH-responsive peptide for overcoming drug resistance in cancer. International Journal of Pharmaceutics. 528(1-2). 322–333. 33 indexed citations
16.
Rui, Mengjie, Yang Qu, Tong Gao, et al.. (2016). Simultaneous delivery of anti-miR21 with doxorubicin prodrug by mimetic lipoprotein nanoparticles for synergistic effect against drug resistance in cancer cells. International Journal of Nanomedicine. Volume 12. 217–237. 43 indexed citations
17.
Liu, Fang, Jiaan Zhu, Yunxia Huang, et al.. (2013). Experimental research Contrast imaging and gene delivery through the combined use of novel cationic liposomal microbubbles and ultrasound in rat carotid arteries. Archives of Medical Science. 2(2). 347–353. 3 indexed citations
18.
Liu, Fang, Jiaan Zhu, Yunxia Huang, et al.. (2013). Hypolipidemic effect of SR-BI gene delivery by combining cationic liposomal microbubbles and ultrasound in hypercholesterolemic rats. Molecular Medicine Reports. 7(6). 1965–1969. 4 indexed citations
19.
Rui, Mengjie, Hailing Tang, Yan Li, Xiaohui Wei, & Yuhong Xu. (2012). Recombinant High Density Lipoprotein Nanoparticles for Target-Specific Delivery of siRNA. Pharmaceutical Research. 30(5). 1203–1214. 32 indexed citations
20.
Mai, Junhua, Shuxian Song, Mengjie Rui, et al.. (2009). A synthetic peptide mediated active targeting of cisplatin liposomes to Tie2 expressing cells. Journal of Controlled Release. 139(3). 174–181. 38 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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