Hongzhuan Chen

21.9k total citations · 4 hit papers
347 papers, 12.3k citations indexed

About

Hongzhuan Chen is a scholar working on Molecular Biology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Hongzhuan Chen has authored 347 papers receiving a total of 12.3k indexed citations (citations by other indexed papers that have themselves been cited), including 185 papers in Molecular Biology, 59 papers in Physiology and 55 papers in Cellular and Molecular Neuroscience. Recurrent topics in Hongzhuan Chen's work include Alzheimer's disease research and treatments (40 papers), Neuroscience and Neuropharmacology Research (40 papers) and Computational Drug Discovery Methods (35 papers). Hongzhuan Chen is often cited by papers focused on Alzheimer's disease research and treatments (40 papers), Neuroscience and Neuropharmacology Research (40 papers) and Computational Drug Discovery Methods (35 papers). Hongzhuan Chen collaborates with scholars based in China, United States and Canada. Hongzhuan Chen's co-authors include Xiaoling Gao, Qingxiang Song, Chao Fang, Xinguo Jiang, Xin Luan, Qin Lu, Hao Wang, Guangzhi Gu, Jianrong Xu and Liang Zhu and has published in prestigious journals such as Journal of the American Chemical Society, Nucleic Acids Research and Advanced Materials.

In The Last Decade

Hongzhuan Chen

341 papers receiving 12.2k citations

Hit Papers

Nanoparticles Coated with... 2017 2026 2020 2023 2017 2022 2023 2024 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hongzhuan Chen China 60 6.0k 2.6k 2.5k 1.3k 1.1k 347 12.3k
Naoto Oku Japan 55 5.5k 0.9× 2.3k 0.9× 1.8k 0.7× 697 0.6× 754 0.7× 373 11.6k
Khalil Abnous Iran 72 11.5k 1.9× 3.7k 1.4× 7.1k 2.8× 410 0.3× 733 0.6× 500 18.6k
Balaram Ghosh India 50 3.7k 0.6× 1.8k 0.7× 1.5k 0.6× 995 0.8× 360 0.3× 307 9.8k
Jörg Huwyler Switzerland 56 4.7k 0.8× 2.9k 1.1× 2.5k 1.0× 345 0.3× 274 0.2× 277 12.3k
Ignacio A. Romero United Kingdom 65 4.5k 0.7× 1.1k 0.4× 1.4k 0.6× 1.8k 1.4× 1.0k 0.9× 161 13.1k
Hui Wang China 57 4.2k 0.7× 821 0.3× 2.5k 1.0× 494 0.4× 886 0.8× 490 12.1k
Dong‐Gyu Jo South Korea 58 4.8k 0.8× 791 0.3× 843 0.3× 2.3k 1.8× 1.0k 0.9× 191 10.0k
David J. Begley United Kingdom 39 3.4k 0.6× 1.9k 0.7× 1.2k 0.5× 1.5k 1.2× 327 0.3× 78 10.3k
Paul R. Lockman United States 43 2.6k 0.4× 1.3k 0.5× 1.2k 0.5× 487 0.4× 757 0.7× 115 7.0k

Countries citing papers authored by Hongzhuan Chen

Since Specialization
Citations

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

Fields of papers citing papers by Hongzhuan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongzhuan Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Hongzhuan Chen. A scholar is included among the top collaborators of Hongzhuan 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 Hongzhuan Chen. Hongzhuan Chen 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.
Shi, Jiyun, Chenghuan Song, Jing Wang, et al.. (2025). Microglial circDlg1 modulates neuroinflammation by blocking PDE4B ubiquitination-dependent degradation associated with Alzheimer's disease. Theranostics. 15(8). 3401–3423. 4 indexed citations
2.
Yuan, Yihang, Quanjun Lin, Hai‐Yi Feng, et al.. (2025). A multistage drug delivery approach for colorectal primary tumors and lymph node metastases. Nature Communications. 16(1). 1439–1439. 7 indexed citations
3.
Zhang, Lele, Mao‐Hua Zhu, Qin Lu, et al.. (2024). Liposomes-enabled cancer chemoimmunotherapy. Biomaterials. 313. 122801–122801. 16 indexed citations
4.
Li, Hongtao, Jinfeng Liu, Ying Wang, et al.. (2024). Methyl rosmarinate is an allosteric inhibitor of SARS-CoV-2 3 CL protease as a potential candidate against SARS-cov-2 infection. Antiviral Research. 224. 105841–105841. 4 indexed citations
5.
Liang, Xiaohui, Jiayi Lin, Ye Wu, et al.. (2024). Decoding β-catenin associated protein-protein interactions: Emerging cancer therapeutic opportunities. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 1880(1). 189232–189232. 3 indexed citations
6.
Zhang, Jie, Yuanyuan Yu, Yurong He, et al.. (2024). WSB1/2 target chromatin-bound lysine-methylated RelA for proteasomal degradation and NF-κB termination. Nucleic Acids Research. 52(9). 4969–4984. 4 indexed citations
7.
Zhou, Songlei, Yukun Huang, Yu Chen, et al.. (2023). Reprogramming systemic and local immune function to empower immunotherapy against glioblastoma. Nature Communications. 14(1). 435–435. 49 indexed citations
8.
Zhu, Mao‐Hua, Mei Long, Xing Lai, et al.. (2023). Metal‐Coordinated Adsorption of Nanoparticles to Macrophages for Targeted Cancer Therapy (Adv. Funct. Mater. 19/2023). Advanced Functional Materials. 33(19). 5 indexed citations
9.
Wang, Chenfei, Wei Huang, Jia Lu, Hongzhuan Chen, & Zhihua Yu. (2022). TRPV1-Mediated Microglial Autophagy Attenuates Alzheimer’s Disease-Associated Pathology and Cognitive Decline. Frontiers in Pharmacology. 12. 763866–763866. 37 indexed citations
10.
Jin, Jinmei, Yaping Wu, Ye Wu, et al.. (2022). Small-molecule PROTAC mediates targeted protein degradation to treat STAT3-dependent epithelial cancer. JCI Insight. 7(22). 41 indexed citations
11.
Zhou, Ye, Cheng Wang, Ya‐Bin Tang, et al.. (2022). Metabolic and Nonmetabolic Functions of PSAT1 Coordinate Signaling Cascades to Confer EGFR Inhibitor Resistance and Drive Progression in Lung Adenocarcinoma. Cancer Research. 82(19). 3516–3531. 42 indexed citations
12.
Huang, Rui, Lijun Zhang, Jinmei Jin, et al.. (2021). Bruceine D inhibits HIF-1α-mediated glucose metabolism in hepatocellular carcinoma by blocking ICAT/β-catenin interaction. Acta Pharmaceutica Sinica B. 11(11). 3481–3492. 51 indexed citations
13.
Jiang, Gan, Huan Chen, Huan Chen, et al.. (2020). Tailored Lipoprotein‐Like miRNA Delivery Nanostructure Suppresses Glioma Stemness and Drug Resistance through Receptor‐Stimulated Macropinocytosis. Advanced Science. 7(5). 1903290–1903290. 32 indexed citations
14.
Shen, Yiwen, Yudong Zhou, Hongzhuan Chen, Xin Luan, & Weidong Zhang. (2020). Targeting CTGF in Cancer: An Emerging Therapeutic Opportunity. Trends in cancer. 7(6). 511–524. 74 indexed citations
15.
Hu, Yunping, Lin Jiang, Yunpeng Jin, et al.. (2018). STYK1 promotes cancer cell proliferation and malignant transformation by activating PI3K-AKT pathway in gallbladder carcinoma. The International Journal of Biochemistry & Cell Biology. 97. 16–27. 19 indexed citations
16.
Teng, Lin, Ya‐Bin Tang, Zhang Chun, et al.. (2013). Non-Neuronal Release of Gamma-Aminobutyric Acid by Embryonic Pluripotent Stem Cells. Stem Cells and Development. 22(22). 2944–2953. 11 indexed citations
18.
Wang, Yanxia, Mingke Song, Lina Hou, Zhihua Yu, & Hongzhuan Chen. (2012). The newly identified K+ channel blocker talatisamine attenuates beta-amyloid oligomers induced neurotoxicity in cultured cortical neurons. Neuroscience Letters. 518(2). 122–127. 24 indexed citations
19.
Song, Qingxiang, Lei Yao, Meng Huang, et al.. (2012). Mechanisms of transcellular transport of wheat germ agglutinin-functionalized polymeric nanoparticles in Caco-2 cells. Biomaterials. 33(28). 6769–6782. 37 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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