Xiao-kun Zhang

4.7k total citations · 2 hit papers
107 papers, 3.7k citations indexed

About

Xiao-kun Zhang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Immunology. According to data from OpenAlex, Xiao-kun Zhang has authored 107 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Molecular Biology, 38 papers in Cellular and Molecular Neuroscience and 20 papers in Immunology. Recurrent topics in Xiao-kun Zhang's work include Nuclear Receptors and Signaling (37 papers), Retinoids in leukemia and cellular processes (28 papers) and RNA Interference and Gene Delivery (15 papers). Xiao-kun Zhang is often cited by papers focused on Nuclear Receptors and Signaling (37 papers), Retinoids in leukemia and cellular processes (28 papers) and RNA Interference and Gene Delivery (15 papers). Xiao-kun Zhang collaborates with scholars based in China, United States and Hong Kong. Xiao-kun Zhang's co-authors include Xihua Cao, Siva K. Kolluri, Bingzhen Lin, Feng Lin, Marcia I. Dawson, John C. Reed, Wen Liu, Magnus Pfahl, Ying Su and Hu Zhou and has published in prestigious journals such as Science, Cell and Journal of Biological Chemistry.

In The Last Decade

Xiao-kun Zhang

104 papers receiving 3.6k citations

Hit Papers

Cytochrome c Release and Apoptosis Induced by Mitochondri... 2000 2026 2008 2017 2000 2004 100 200 300 400 500

Peers

Xiao-kun Zhang
Deryk Loo United States
Chunjiang Yu United States
Jane R. Connor United States
Russell Dahl United States
Suzie Chen United States
Xiao-kun Zhang
Citations per year, relative to Xiao-kun Zhang Xiao-kun Zhang (= 1×) peers Braham Shroot

Countries citing papers authored by Xiao-kun Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Xiao-kun Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiao-kun Zhang. 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 Xiao-kun Zhang. The network helps show where Xiao-kun Zhang may publish in the future.

Co-authorship network of co-authors of Xiao-kun Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiao-kun Zhang. A scholar is included among the top collaborators of Xiao-kun Zhang 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 Xiao-kun Zhang. Xiao-kun Zhang 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.
Zhang, Xiao-kun, et al.. (2025). Enhancing Textual Personality Detection Toward Social Media: Integrating Long-Term and Short-Term Perspectives. IEEE Transactions on Audio Speech and Language Processing. 33. 4563–4573. 1 indexed citations
2.
Wang, De‐Yi, et al.. (2025). Supramolecular Switching of Liquid‐Liquid Phase Separation for Orchestrating Enzyme Kinetics. Angewandte Chemie International Edition. 64(14). e202422601–e202422601. 5 indexed citations
3.
Wang, Chao, Yongbin Wu, Peng Liu, et al.. (2025). Experimental and numerical simulation studies on sweep efficiency in electrical heating-CO2 assisted SAGD for heavy oil reservoirs with interbeds. Geoenergy Science and Engineering. 252. 213941–213941. 1 indexed citations
4.
Zhang, Xiao-kun, et al.. (2024). Inhibition processing in code-switching among Chinese–English–Japanese trilinguals: Evidence from the n –2 language repetition costs. International Journal of Bilingualism. 30(1). 18–34. 2 indexed citations
5.
Q, Hu, Jie Liu, Xiao-kun Zhang, et al.. (2023). Nur77 Serves as a Potential Prognostic Biomarker That Correlates with Immune Infiltration and May Act as a Good Target for Prostate adenocarcinoma. Molecules. 28(3). 1238–1238. 2 indexed citations
6.
Wang, Qi‐Qiang, Xin Wang, Xuan Zhang, et al.. (2022). Design, synthesis and biological evaluation of acyl hydrazones-based derivatives as RXRα-targeted anti-mitotic agents. Bioorganic Chemistry. 128. 106069–106069. 4 indexed citations
7.
Jiang, Ming, Yulin Huang, Lijun Hu, et al.. (2022). The transcription factor CCAAT/enhancer-binding protein β in spinal microglia contributes to pre-operative stress-induced prolongation of postsurgical pain. Molecular Pain. 18. 804300640–804300640. 2 indexed citations
8.
Zhou, Yuqi, et al.. (2021). Protocol to identify centrosome-associated transcription factors during mitosis in mammalian cell lines. STAR Protocols. 2(3). 100495–100495. 1 indexed citations
9.
Niu, Boning, Jie Liu, Ben Lv, et al.. (2021). Interplay between transforming growth factor-β and Nur77 in dual regulations of inhibitor of differentiation 1 for colonic tumorigenesis. Nature Communications. 12(1). 2809–2809. 28 indexed citations
10.
Zhou, Min, Mingyu Li, Qi Kang, et al.. (2021). Impact of macroporous silica nanoparticles at sub-50nm on bio-behaviors and biosafety in drug-resistant cancer models. Colloids and Surfaces B Biointerfaces. 206. 111912–111912. 7 indexed citations
11.
Chen, Xiaohong, Xihua Cao, Gulimiran Alitongbieke, et al.. (2019). BI1071, a Novel Nur77 Modulator, Induces Apoptosis of Cancer Cells by Activating the Nur77-Bcl-2 Apoptotic Pathway. Molecular Cancer Therapeutics. 18(5). 886–899. 27 indexed citations
12.
Wang, Xin, Huiyun Lin, Zhiqiang Yan, et al.. (2019). Discovery of atorvastatin as a tetramer stabilizer of nuclear receptor RXRα through structure-based virtual screening. Bioorganic Chemistry. 85. 413–419. 9 indexed citations
13.
Zhang, Chunyun, Hongwei Cheng, Yun‐Long Wu, et al.. (2017). Targeting to the non-genomic activity of retinoic acid receptor-gamma by acacetin in hepatocellular carcinoma. Scientific Reports. 7(1). 348–348. 29 indexed citations
14.
Chen, Fan, Jiebo Chen, Jiacheng Lin, et al.. (2015). NSC-640358 acts as RXRα ligand to promote TNFα-mediated apoptosis of cancer cell. Protein & Cell. 6(9). 654–666. 8 indexed citations
15.
Wu, Hua, Xiu‐Ming Li, Jingru Wang, et al.. (2015). NUR77 exerts a protective effect against inflammatory bowel disease by negatively regulating the TRAF6/TLR–IL‐1R signalling axis. The Journal of Pathology. 238(3). 457–469. 70 indexed citations
16.
Chen, Long‐Qing, Zhigang Wang, Alexander E. Aleshin, et al.. (2014). Sulindac-Derived RXRα Modulators Inhibit Cancer Cell Growth by Binding to a Novel Site. Chemistry & Biology. 21(5). 596–607. 34 indexed citations
17.
Xu, Yang, Qiang Luo, Ting Lin, et al.. (2014). U12, a UDCA Derivative, Acts as an Anti-Hepatoma Drug Lead and Inhibits the mTOR/S6K1 and Cyclin/CDK Complex Pathways. PLoS ONE. 9(12). e113479–e113479. 12 indexed citations
18.
Wang, Guanghui, Fuquan Jiang, Yinghui Duan, et al.. (2012). Targeting Truncated Retinoid X Receptor-α by CF31 Induces TNF-α–Dependent Apoptosis. Cancer Research. 73(1). 307–318. 34 indexed citations
19.
Lin, Bingzhen, Siva K. Kolluri, Feng Lin, et al.. (2004). Conversion of Bcl-2 from Protector to Killer by Interaction with Nuclear Orphan Receptor Nur77/TR3. Cell. 116(4). 527–540. 560 indexed citations breakdown →
20.
Tzukerman, Maty, Xiao-kun Zhang, & Magnus Pfahl. (1991). Inhibition of Estrogen Receptor Activity by the Tumor Promoter 12-O-Tetradeconylphorbol-13-Acetate: A Molecular Analysis. Molecular Endocrinology. 5(12). 1983–1992. 78 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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