Chen Jiang

6.9k total citations · 2 hit papers
78 papers, 5.8k citations indexed

About

Chen Jiang is a scholar working on Molecular Biology, Biomaterials and Biomedical Engineering. According to data from OpenAlex, Chen Jiang has authored 78 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Molecular Biology, 34 papers in Biomaterials and 25 papers in Biomedical Engineering. Recurrent topics in Chen Jiang's work include RNA Interference and Gene Delivery (34 papers), Nanoparticle-Based Drug Delivery (33 papers) and Nanoplatforms for cancer theranostics (22 papers). Chen Jiang is often cited by papers focused on RNA Interference and Gene Delivery (34 papers), Nanoparticle-Based Drug Delivery (33 papers) and Nanoplatforms for cancer theranostics (22 papers). Chen Jiang collaborates with scholars based in China, United States and South Korea. Chen Jiang's co-authors include Rongqin Huang, Tao Sun, Liang Han, Yujie Zhang, Weilun Ke, Xi He, Kun Shao, Jianfeng Li, Shixian Huang and Yuyang Kuang and has published in prestigious journals such as Advanced Materials, Nano Letters and ACS Nano.

In The Last Decade

Chen Jiang

77 papers receiving 5.7k citations

Hit Papers

Macrophage-Membrane-Coated Nanoparticles for Tumor-Target... 2018 2026 2020 2023 2018 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chen Jiang China 41 3.2k 2.3k 1.9k 609 579 78 5.8k
Swati Biswas India 39 2.8k 0.9× 2.5k 1.1× 2.1k 1.1× 537 0.9× 725 1.3× 151 6.0k
Shyh‐Dar Li Canada 38 3.3k 1.0× 3.5k 1.5× 2.8k 1.4× 328 0.5× 755 1.3× 92 7.0k
Sun Hwa Kim South Korea 48 4.8k 1.5× 2.1k 0.9× 1.8k 0.9× 342 0.6× 469 0.8× 174 7.8k
Meng Zheng China 42 3.0k 0.9× 2.0k 0.9× 2.0k 1.0× 333 0.5× 586 1.0× 103 5.4k
Yu Matsumoto Japan 40 3.1k 1.0× 3.5k 1.5× 3.0k 1.6× 477 0.8× 932 1.6× 128 7.1k
Meihua Sui China 32 1.9k 0.6× 2.0k 0.9× 1.5k 0.8× 517 0.8× 544 0.9× 73 4.3k
Olga B. Garbuzenko United States 32 2.5k 0.8× 1.7k 0.7× 1.1k 0.6× 357 0.6× 410 0.7× 49 4.6k
Gaurav Sahay United States 37 5.7k 1.8× 2.1k 0.9× 1.8k 0.9× 329 0.5× 639 1.1× 69 8.4k
Tianmeng Sun China 39 3.5k 1.1× 3.7k 1.6× 3.4k 1.8× 604 1.0× 1.5k 2.6× 112 8.2k
Hong Yeol Yoon South Korea 48 2.7k 0.8× 3.2k 1.4× 3.2k 1.7× 355 0.6× 802 1.4× 100 6.7k

Countries citing papers authored by Chen Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Chen Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chen Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Chen Jiang. A scholar is included among the top collaborators of Chen Jiang 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 Chen Jiang. Chen Jiang 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.
Jiang, Chen, et al.. (2024). The efficacy of levonorgestrelintrauterine system, drospirenone & ethinylestradiol tablets (II) and dydrogesterone in preventing the recurrence of endometrial polyps. Archives of Gynecology and Obstetrics. 310(3). 1645–1649. 2 indexed citations
2.
Sun, Tao, et al.. (2022). Nanodrug delivery systems for ferroptosis-based cancer therapy. Journal of Controlled Release. 344. 289–301. 49 indexed citations
3.
Chen, Xiong, et al.. (2022). A novel near-infrared ratiometric fluorescent probe targeting lysosomes for imaging HOCl in vitro and in vivo. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 286. 121966–121966. 14 indexed citations
4.
Zhou, Wenxi, Yu Zhou, Xinli Chen, et al.. (2020). Pancreatic cancer-targeting exosomes for enhancing immunotherapy and reprogramming tumor microenvironment. Biomaterials. 268. 120546–120546. 356 indexed citations breakdown →
5.
Guo, Qin & Chen Jiang. (2020). Delivery strategies for macromolecular drugs in cancer therapy. Acta Pharmaceutica Sinica B. 10(6). 979–986. 81 indexed citations
6.
Guo, Qin, Chao Li, Wenxi Zhou, et al.. (2019). GLUT1-mediated effective anti-miRNA21 pompon for cancer therapy. Acta Pharmaceutica Sinica B. 9(4). 832–842. 31 indexed citations
7.
Zhou, Yu, Wenxi Zhou, Han Y. H. Chen, et al.. (2019). Bone marrow mesenchymal stem cells-derived exosomes for penetrating and targeted chemotherapy of pancreatic cancer. Acta Pharmaceutica Sinica B. 10(8). 1563–1575. 129 indexed citations
8.
Sun, Tao, Guang‐Ping Zhang, Qingbing Wang, et al.. (2018). A targeting theranostics nanomedicine as an alternative approach for hyperthermia perfusion. Biomaterials. 183. 268–279. 28 indexed citations
9.
Luo, Feifei, et al.. (2017). Dehydroascorbic Acids-modified Polymer Micelles Target Cancer Cells to Enhance Anti-tumor Efficacy of Paclitaxel. Scientific Reports. 7(1). 975–975. 12 indexed citations
10.
Chen, Han Y. H., Lisha Liu, & Chen Jiang. (2016). Charge-reversal nanoparticles: novel targeted drug delivery carriers. Acta Pharmaceutica Sinica B. 6(4). 261–267. 95 indexed citations
11.
12.
Wang, Xiaolin, Qingbing Wang, Jianfeng Li, et al.. (2015). Magnetic resonance-guided regional gene delivery strategy using a tumor stroma-permeable nanocarrier for pancreatic cancer. International Journal of Nanomedicine. 10. 4479–4479. 25 indexed citations
13.
Han, Liang, Mingming Liu, Deyong Ye, et al.. (2014). Tumor cell membrane-targeting pH-dependent electron donor-acceptor fluorescence systems with low background signals. Biomaterials. 35(9). 2952–2960. 17 indexed citations
14.
Liu, Yang, Yubo Guo, Sai An, et al.. (2013). Targeting Caspase-3 as Dual Therapeutic Benefits by RNAi Facilitating Brain-Targeted Nanoparticles in a Rat Model of Parkinson’s Disease. PLoS ONE. 8(5). e62905–e62905. 57 indexed citations
15.
Jiang, Chen, et al.. (2011). Template-directed Synthesis of a Novel Oxalate Compound [Co(dien)2][NaCo2(C2O4)4] Using Co(III) Complex as Template. Gaodeng xuexiao huaxue xuebao. 32(3). 527. 1 indexed citations
16.
Huang, Rongqin, Weilun Ke, Liang Han, et al.. (2010). Targeted delivery of chlorotoxin-modified DNA-loaded nanoparticles to glioma via intravenous administration. Biomaterials. 32(9). 2399–2406. 90 indexed citations
17.
Liu, Yang, Rongqin Huang, Liang Han, et al.. (2009). Brain-targeting gene delivery and cellular internalization mechanisms for modified rabies virus glycoprotein RVG29 nanoparticles. Biomaterials. 30(25). 4195–4202. 214 indexed citations
18.
Huang, Rongqin, Weilun Ke, Liang Han, et al.. (2009). Lactoferrin-modified nanoparticles could mediate efficient gene delivery to the brain in vivo. Brain Research Bulletin. 81(6). 600–604. 59 indexed citations
19.
Jiang, Chen. (2008). Human Peripheral Blood Mononuclear Cell Proteome Analysis of Parkinson Disease with Different TCM Syndromes. Zhongguo zhongyiyao xinxi zazhi. 2 indexed citations
20.
Ke, Weilun, et al.. (2007). Enhanced Oral Bioavailability of Doxorubicin in a Dendrimer Drug Delivery System. Journal of Pharmaceutical Sciences. 97(6). 2208–2216. 123 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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