Dong Meng

532 total citations
20 papers, 414 citations indexed

About

Dong Meng is a scholar working on Biomedical Engineering, Biomaterials and Molecular Biology. According to data from OpenAlex, Dong Meng has authored 20 papers receiving a total of 414 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Biomedical Engineering, 9 papers in Biomaterials and 6 papers in Molecular Biology. Recurrent topics in Dong Meng's work include Ultrasound and Hyperthermia Applications (14 papers), Nanoplatforms for cancer theranostics (11 papers) and Nanoparticle-Based Drug Delivery (6 papers). Dong Meng is often cited by papers focused on Ultrasound and Hyperthermia Applications (14 papers), Nanoplatforms for cancer theranostics (11 papers) and Nanoparticle-Based Drug Delivery (6 papers). Dong Meng collaborates with scholars based in China and Saudi Arabia. Dong Meng's co-authors include Lu Guo, Mengmeng Shang, Dandan Shi, Xiao Sun, Yading Zhao, Xiaoying Zhou, Jie Li, Xinxin Liu, Jie Li and Jie Li and has published in prestigious journals such as Scientific Reports, ACS Applied Materials & Interfaces and Journal of Controlled Release.

In The Last Decade

Dong Meng

19 papers receiving 410 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dong Meng China 15 265 130 129 54 48 20 414
Maximilian Regenold Canada 9 246 0.9× 176 1.4× 116 0.9× 36 0.7× 27 0.6× 12 410
Lu Guo China 17 341 1.3× 167 1.3× 202 1.6× 80 1.5× 59 1.2× 33 595
Cheng-Jung Yao Taiwan 7 186 0.7× 130 1.0× 158 1.2× 46 0.9× 49 1.0× 8 392
Mohammad Taleb China 9 205 0.8× 143 1.1× 164 1.3× 41 0.8× 50 1.0× 16 380
Yading Zhao China 12 184 0.7× 90 0.7× 105 0.8× 30 0.6× 47 1.0× 19 310
Megan N. Dang United States 11 191 0.7× 135 1.0× 227 1.8× 66 1.2× 57 1.2× 14 425
Danielle M. Valcourt United States 9 174 0.7× 132 1.0× 195 1.5× 47 0.9× 70 1.5× 9 382
Suyog Shaha United States 5 167 0.6× 128 1.0× 103 0.8× 40 0.7× 20 0.4× 7 302
Mohammad Kiani Shahvandi Canada 6 199 0.8× 193 1.5× 78 0.6× 49 0.9× 23 0.5× 6 356

Countries citing papers authored by Dong Meng

Since Specialization
Citations

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

Fields of papers citing papers by Dong Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dong Meng

This figure shows the co-authorship network connecting the top 25 collaborators of Dong Meng. A scholar is included among the top collaborators of Dong Meng 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 Dong Meng. Dong Meng 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.
2.
Wang, Xiaoxuan, Fangxuan Li, Jialü Zhang, et al.. (2024). A combination of PD-L1-targeted IL-15 mRNA nanotherapy and ultrasound-targeted microbubble destruction for tumor immunotherapy. Journal of Controlled Release. 367. 45–60. 23 indexed citations
3.
Meng, Dong, Lu Guo, Dandan Shi, et al.. (2023). Dual-sensitive and highly biocompatible O-carboxymethyl chitosan nanodroplets for prostate tumor ultrasonic imaging and treatment. Cancer Nanotechnology. 14(1). 5 indexed citations
4.
Zhang, Jian, et al.. (2023). Nonlinear Stochastic Adaptive Control for DFIG-Based Wind Generation System. Energies. 16(15). 5654–5654. 4 indexed citations
5.
6.
Liu, Rui, Lu Guo, Shan Xiao, et al.. (2023). Ultrasound-Targeted Microbubble Disruption with Key Nanodroplets for Effective Ferroptosis in Triple-Negative Breast Cancer Using Animal Model. International Journal of Nanomedicine. Volume 18. 2037–2052. 11 indexed citations
7.
Zhao, Yading, Dandan Shi, Lu Guo, et al.. (2023). Ultrasound targeted microbubble destruction-triggered nitric oxide release via nanoscale ultrasound contrast agent for sensitizing chemoimmunotherapy. Journal of Nanobiotechnology. 21(1). 35–35. 36 indexed citations
8.
Xiao, Shan, Lu Guo, Ai Chen, et al.. (2023). pH-/Redox-Responsive Nanodroplet Combined with Ultrasound-Targeted Microbubble Destruction for the Targeted Treatment of Drug-Resistant Triple Negative Breast Cancer. ACS Applied Materials & Interfaces. 15(7). 8958–8973. 21 indexed citations
9.
Wang, Xiaoxuan, Mengmeng Shang, Xiao Sun, et al.. (2022). Dual-responsive nanodroplets combined with ultrasound-targeted microbubble destruction suppress tumor growth and metastasis via autophagy blockade. Journal of Controlled Release. 343. 66–77. 29 indexed citations
10.
Guo, Lu, Dandan Shi, Mengmeng Shang, et al.. (2022). Utilizing RNA nanotechnology to construct negatively charged and ultrasound-responsive nanodroplets for targeted delivery of siRNA. Drug Delivery. 29(1). 316–327. 16 indexed citations
11.
Zhao, Yading, Dandan Shi, Mengmeng Shang, et al.. (2022). GRP78-targeted and doxorubicin-loaded nanodroplets combined with ultrasound: a potential novel theranostics for castration-resistant prostate cancer. Drug Delivery. 29(1). 203–213. 14 indexed citations
12.
Liu, Xinxin, Dandan Shi, Lu Guo, et al.. (2021). Echogenic, Ultrasound-Sensitive Chitosan Nanodroplets for Spatiotemporally Controlled DKK-2 Gene Delivery to Prostate Cancer Cells. International Journal of Nanomedicine. Volume 16. 421–432. 11 indexed citations
13.
Shang, Mengmeng, Xiao Sun, Lu Guo, et al.. (2020). <p>pH- and Ultrasound-Responsive Paclitaxel-Loaded Carboxymethyl Chitosan Nanodroplets for Combined Imaging and Synergistic Chemoradiotherapy</p>. International Journal of Nanomedicine. Volume 15. 537–552. 30 indexed citations
14.
Sun, Xiao, Lu Guo, Mengmeng Shang, et al.. (2020). <p>Ultrasound Mediated Destruction of LMW-HA-Loaded and Folate-Conjugated Nanobubble for TAM Targeting and Reeducation</p>. International Journal of Nanomedicine. Volume 15. 1967–1981. 19 indexed citations
15.
Shi, Dandan, Lu Guo, Xiao Sun, et al.. (2020). UTMD inhibit EMT of breast cancer through the ROS/miR-200c/ZEB1 axis. Scientific Reports. 10(1). 6657–6657. 41 indexed citations
16.
Zhou, Xiaoying, Lu Guo, Dandan Shi, et al.. (2020). Ultrasound-responsive highly biocompatible nanodroplets loaded with doxorubicin for tumor imaging and treatment in vivo. Drug Delivery. 27(1). 469–481. 24 indexed citations
17.
Guo, Lu, Dandan Shi, Dong Meng, et al.. (2019). New FH peptide-modified Ultrasonic Nanobubbles for Delivery of Doxorubicin to cancer-associated Fibroblasts. Nanomedicine. 14(22). 2957–2971. 16 indexed citations
18.
Meng, Dong, Lu Guo, Dandan Shi, et al.. (2019). Charge-conversion and ultrasound-responsive O-carboxymethyl Chitosan Nanodroplets for Controlled Drug Delivery. Nanomedicine. 14(19). 2549–2565. 35 indexed citations
19.
Guo, Lu, et al.. (2017). Development of a novel folate-modified nanobubbles with improved targeting ability to tumor cells. Ultrasonics Sonochemistry. 37. 235–243. 30 indexed citations
20.
Shi, Dandan, et al.. (2016). Influence of tumor cell lines derived from different tissue on sonoporation efficiency under ultrasound microbubble treatment. Ultrasonics Sonochemistry. 38. 598–603. 32 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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