Cong Jiang

634 total citations
34 papers, 462 citations indexed

About

Cong Jiang is a scholar working on Oncology, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, Cong Jiang has authored 34 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Oncology, 11 papers in Materials Chemistry and 9 papers in Biomedical Engineering. Recurrent topics in Cong Jiang's work include Advanced Nanomaterials in Catalysis (10 papers), Nanoplatforms for cancer theranostics (8 papers) and Inflammatory Biomarkers in Disease Prognosis (7 papers). Cong Jiang is often cited by papers focused on Advanced Nanomaterials in Catalysis (10 papers), Nanoplatforms for cancer theranostics (8 papers) and Inflammatory Biomarkers in Disease Prognosis (7 papers). Cong Jiang collaborates with scholars based in China, United States and Germany. Cong Jiang's co-authors include Yuanxi Huang, Shiyuan Zhang, Yanyan Huang, Min Xiao, He Dou, Shanshan Yang, Shuang Ma, Feng Liu, LU Yu-bo and Xuhai Zhao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Advanced Functional Materials.

In The Last Decade

Cong Jiang

32 papers receiving 460 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cong Jiang China 13 205 125 108 103 78 34 462
Muzhou Teng China 14 196 1.0× 66 0.5× 110 1.0× 141 1.4× 70 0.9× 32 527
Qian Shao China 12 125 0.6× 93 0.7× 88 0.8× 109 1.1× 48 0.6× 55 559
Zhimin Zhang China 13 428 2.1× 118 0.9× 94 0.9× 92 0.9× 76 1.0× 38 654
Zan Liu China 15 281 1.4× 134 1.1× 60 0.6× 74 0.7× 30 0.4× 40 560
Yongbiao Huang China 13 177 0.9× 86 0.7× 127 1.2× 43 0.4× 52 0.7× 41 448
Xianying Meng China 15 261 1.3× 149 1.2× 111 1.0× 113 1.1× 35 0.4× 38 529
Chenxia Hu China 10 264 1.3× 91 0.7× 100 0.9× 77 0.7× 24 0.3× 20 667
Haiyan Ge China 14 239 1.2× 117 0.9× 62 0.6× 55 0.5× 53 0.7× 30 501
Jingjing Miao China 17 269 1.3× 77 0.6× 223 2.1× 106 1.0× 32 0.4× 45 774

Countries citing papers authored by Cong Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Cong Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cong Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Cong Jiang. A scholar is included among the top collaborators of Cong 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 Cong Jiang. Cong 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.
Wang, Lihua, Yang Deng, Xingyu Zhou, et al.. (2025). A biodegradable nanomedicine for potentiated cancer therapy via Ca2+-overload and photothermal dual-amplifying cuproptosis. Journal of Colloid and Interface Science. 705. 139548–139548.
2.
Jiang, Cong, Qinghua Wang, Pengcheng Chen, et al.. (2025). Copper‐Doped Polydopamine Nanoparticles‐Mediated GSH/GPX4‐Depleted Ferroptosis and Cuproptosis Sensitizes Lung Tumor to Checkpoint Blockade Immunotherapy. Small. 21(23). e2503208–e2503208. 12 indexed citations
3.
4.
5.
Jiang, Cong, et al.. (2024). Self-assembly of CuAuTA nanozymes for intelligent detection of ginkgolic acids. Analytical and Bioanalytical Chemistry. 416(27). 6091–6102. 3 indexed citations
6.
Jiang, Cong, et al.. (2024). Manganese-arginine nanozymes as oxidase mimics for smartphone-based intelligent detection of 4′-O-methylpyridoxine. Microchimica Acta. 191(11). 654–654. 1 indexed citations
7.
Chu, Lanling, et al.. (2024). Metal-organic frameworks-based nanozyme sensor array for the discrimination of biogenic amines and detection of histamine. Talanta. 284. 127244–127244. 7 indexed citations
8.
Zhong, Tianyu, Qinghua Wang, Cong Jiang, et al.. (2023). Quadruple functionalized copper-polydopamine nanoparticles for tumor-specific multimodal enhancing photodynamic therapy with low skin phototoxicity. Applied Materials Today. 35. 101990–101990. 2 indexed citations
9.
Jiang, Cong, et al.. (2023). The recent development of nanozymes for targeting antibacterial, anticancer and antioxidant applications. RSC Advances. 13(3). 1539–1550. 22 indexed citations
10.
Jiang, Cong, Xianglong Li, Fen Pan, et al.. (2023). Ferroptosis and Pyroptosis Co‐Activated Nanomodulator for “Cold” Tumor Immunotherapy and Lung Metastasis Inhibition. Advanced Functional Materials. 33(37). 35 indexed citations
11.
Jiang, Cong, et al.. (2023). Naples score: a novel prognostic biomarker for breast cancer patients undergoing neoadjuvant chemotherapy. Journal of Cancer Research and Clinical Oncology. 149(17). 16097–16110. 7 indexed citations
12.
Zhao, Xuhai & Cong Jiang. (2023). The prediction of distant metastasis risk for male breast cancer patients based on an interpretable machine learning model. BMC Medical Informatics and Decision Making. 23(1). 74–74. 11 indexed citations
13.
Zhang, Yue, Yue Li, Cong Jiang, et al.. (2023). Metabolic syndrome is a risk factor for breast cancer patients receiving neoadjuvant chemotherapy: A case-control study. Frontiers in Oncology. 12. 1080054–1080054. 6 indexed citations
14.
Jiang, Cong, et al.. (2023). CeO2-Based Porous Carbonaceous Frameworks as Antioxidant Nanozymes for Scavenging Reactive Oxygen Species and Adsorbing Benzo[a]pyrene. Inorganic Chemistry. 62(33). 13168–13172. 6 indexed citations
15.
Wu, Huan, Cong Jiang, Qinghua Wang, et al.. (2022). Engineered Organosilica Hybrid Micelles for Photothermal‐enhanced Starvation Cancer Therapy. Chemistry - An Asian Journal. 17(17). e202200570–e202200570. 8 indexed citations
16.
Jiang, Cong, et al.. (2022). Prognostic value of a modified systemic inflammation score in breast cancer patients who underwent neoadjuvant chemotherapy. BMC Cancer. 22(1). 1249–1249. 9 indexed citations
17.
18.
Jiang, Cong & Yuanxi Huang. (2020). Predictive Effect of Systemic Immune-inflammation Index on Pathological Complete Response of Breast Cancer to Neoadjuvant Chemotherapy and Its Relation with p53. SHILAP Revista de lepidopterología. 47(10). 756–760. 1 indexed citations
19.
Jiang, Cong, LU Yu-bo, Shiyuan Zhang, & Yuanxi Huang. (2020). Systemic Immune‐Inflammation Index Is Superior to Neutrophil to Lymphocyte Ratio in Prognostic Assessment of Breast Cancer Patients Undergoing Neoadjuvant Chemotherapy. BioMed Research International. 2020(1). 7961568–7961568. 30 indexed citations
20.
Yang, Shanshan, Shuang Ma, He Dou, et al.. (2020). Breast cancer-derived exosomes regulate cell invasion and metastasis in breast cancer via miR-146a to activate cancer associated fibroblasts in tumor microenvironment. Experimental Cell Research. 391(2). 111983–111983. 128 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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