Hongning Chen

411 total citations
12 papers, 332 citations indexed

About

Hongning Chen is a scholar working on Oncology, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Hongning Chen has authored 12 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Oncology, 3 papers in Molecular Biology and 3 papers in Biomedical Engineering. Recurrent topics in Hongning Chen's work include Cancer Cells and Metastasis (5 papers), Cytokine Signaling Pathways and Interactions (3 papers) and Nanoparticle-Based Drug Delivery (2 papers). Hongning Chen is often cited by papers focused on Cancer Cells and Metastasis (5 papers), Cytokine Signaling Pathways and Interactions (3 papers) and Nanoparticle-Based Drug Delivery (2 papers). Hongning Chen collaborates with scholars based in China, United States and Russia. Hongning Chen's co-authors include Lee Jia, Jian Liu, Nien‐Chu Lai, Jichuang Wang, Yi‐Chun Lu, Jingwei Shao, Haiyan Dong, Guirong Zheng, Yusheng Lu and Jingjing Xie and has published in prestigious journals such as Chemistry of Materials, Advanced Functional Materials and Scientific Reports.

In The Last Decade

Hongning Chen

12 papers receiving 330 citations

Peers

Hongning Chen
Hongning Chen
Citations per year, relative to Hongning Chen Hongning Chen (= 1×) peers Manu Dalela

Countries citing papers authored by Hongning Chen

Since Specialization
Citations

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

Fields of papers citing papers by Hongning Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongning Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Hongning Chen. A scholar is included among the top collaborators of Hongning Chen 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 Hongning Chen. Hongning Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Liu, Jian, Junxia Zheng, Huifang Nie, et al.. (2019). Co-delivery of erlotinib and doxorubicin by MoS2 nanosheets for synergetic photothermal chemotherapy of cancer. Chemical Engineering Journal. 381. 122541–122541. 44 indexed citations
2.
Zhou, Jiang, Jun Qian, Haiyan Dong, et al.. (2017). The traditional Chinese medicine Achyranthes bidentata and our de novo conception of its metastatic chemoprevention: from phytochemistry to pharmacology. Scientific Reports. 7(1). 3888–3888. 16 indexed citations
3.
Zheng, Guirong, Zhichun Shen, Hongning Chen, et al.. (2017). Metapristone suppresses non-small cell lung cancer proliferation and metastasis via modulating RAS/RAF/MEK/MAPK signaling pathway. Biomedicine & Pharmacotherapy. 90. 437–445. 30 indexed citations
4.
Zheng, Ning, Weiqun Liu, Jian Liu, et al.. (2017). Mifepristone inhibits ovarian cancer metastasis by intervening in SDF-1/CXCR4 chemokine axis. Oncotarget. 8(35). 59123–59135. 25 indexed citations
5.
Shao, Jingwei, Guirong Zheng, Hongning Chen, et al.. (2017). Metapristone (RU486 metabolite) suppresses NSCLC by targeting EGFR-mediated PI3K/AKT pathway. Oncotarget. 8(45). 78351–78364. 9 indexed citations
6.
Zheng, Ning, Tao Li, Weiqun Liu, et al.. (2017). Abortifacient metapristone (RU486 derivative) interrupts CXCL12/CXCR4 axis for ovarian metastatic chemoprevention. Molecular Carcinogenesis. 56(8). 1896–1908. 23 indexed citations
7.
Chen, Hongning, Nien‐Chu Lai, & Yi‐Chun Lu. (2017). Silicon–Carbon Nanocomposite Semi-Solid Negolyte and Its Application in Redox Flow Batteries. Chemistry of Materials. 29(17). 7533–7542. 44 indexed citations
9.
Liu, Jian, Hongning Chen, Guirong Zheng, et al.. (2016). Functionalized PLGA–PEG nanoparticles conjugated with aptamer for targeting circulating tumor cells for drug delivery. Nanomedicine Nanotechnology Biology and Medicine. 12(2). 508–509. 2 indexed citations
10.
Xie, Jingjing, Jichuang Wang, Hongning Chen, et al.. (2015). Multivalent Conjugation of Antibody to Dendrimers for the Enhanced Capture and Regulation on Colon Cancer Cells. Scientific Reports. 5(1). 9445–9445. 44 indexed citations
11.
Xie, Jingjing, Haiyan Dong, Hongning Chen, et al.. (2015). Exploring cancer metastasis prevention strategy: interrupting adhesion of cancer cells to vascular endothelia of potential metastatic tissues by antibody-coated nanomaterial. Journal of Nanobiotechnology. 13(1). 9–9. 13 indexed citations
12.
Xie, Jingjing, Yusheng Lu, Haiyan Dong, et al.. (2015). Enhanced Specificity in Capturing and Restraining Circulating Tumor Cells with Dual Antibody–Dendrimer Conjugates. Advanced Functional Materials. 25(8). 1304–1313. 41 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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