Liujun Tang

1.3k total citations
18 papers, 666 citations indexed

About

Liujun Tang is a scholar working on Molecular Biology, Oncology and Hematology. According to data from OpenAlex, Liujun Tang has authored 18 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 2 papers in Oncology and 2 papers in Hematology. Recurrent topics in Liujun Tang's work include RNA modifications and cancer (3 papers), Acute Myeloid Leukemia Research (2 papers) and Genomics, phytochemicals, and oxidative stress (2 papers). Liujun Tang is often cited by papers focused on RNA modifications and cancer (3 papers), Acute Myeloid Leukemia Research (2 papers) and Genomics, phytochemicals, and oxidative stress (2 papers). Liujun Tang collaborates with scholars based in China and United States. Liujun Tang's co-authors include Xiaoming Yang, Chang‐Yan Li, Yi‐Qun Zhan, Chang‐Hui Ge, Miao Yu, Wang‐Xiang Xu, Jian Wang, Wei Li, Hui Li and Qiongming Liu and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and The FASEB Journal.

In The Last Decade

Liujun Tang

18 papers receiving 656 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Liujun Tang China	10	458	95	73	65	55	18	666
Man Xu China	17	355 0.8×	103 1.1×	53 0.7×	104 1.6×	62 1.1×	29	713
Sang‐Muk Oh South Korea	17	388 0.8×	72 0.8×	98 1.3×	54 0.8×	89 1.6×	28	658
Shanye Yin United States	18	585 1.3×	126 1.3×	57 0.8×	42 0.6×	67 1.2×	34	902
Chuanxu Liu China	12	470 1.0×	112 1.2×	96 1.3×	54 0.8×	84 1.5×	30	776
Gaoxiang Ma China	13	332 0.7×	63 0.7×	59 0.8×	81 1.2×	44 0.8×	33	612
Hongyan Ma China	14	278 0.6×	83 0.9×	82 1.1×	65 1.0×	42 0.8×	30	557
Hui He China	16	345 0.8×	98 1.0×	49 0.7×	48 0.7×	86 1.6×	30	670
Huimin Bian China	11	234 0.5×	79 0.8×	64 0.9×	53 0.8×	49 0.9×	19	564
Haiyan Sun China	8	242 0.5×	62 0.7×	65 0.9×	72 1.1×	42 0.8×	22	519

Countries citing papers authored by Liujun Tang

Since Specialization

Citations

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

Fields of papers citing papers by Liujun Tang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liujun Tang

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

All Works

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18 of 18 papers shown

Wu, Junfang, Dongxue Wang, Qi He, et al.. (2025). Plasma proteomics identifies S100A8/A9 as a novel biomarker and therapeutic target for fulminant myocarditis. Journal of Advanced Research. 81. 717–730. 1 indexed citations

Kong, Xiangren, Chao Liu, Meiqi Cheng, et al.. (2023). BATMAN-TCM 2.0: an enhanced integrative database for known and predicted interactions between traditional Chinese medicine ingredients and target proteins. Nucleic Acids Research. 52(D1). D1110–D1120. 76 indexed citations

Cheng, Linlin, Li Yang, Ziyan Wu, et al.. (2021). Comprehensive analysis of immunoglobulin and clinical variables identifies functional linkages and diagnostic indicators associated with Behcet’s disease patients receiving immunomodulatory treatment. BMC Immunology. 22(1). 16–16. 2 indexed citations

Wang, Xun, Yang Li, Mengqi He, et al.. (2021). UbiBrowser 2.0: a comprehensive resource for proteome-wide known and predicted ubiquitin ligase/deubiquitinase–substrate interactions in eukaryotic species. Nucleic Acids Research. 50(D1). D719–D728. 114 indexed citations

Dong, Xiaoming, Ke Zhao, Chengwang Xu, et al.. (2020). EDAG mediates Hsp70 nuclear localization in erythroblasts and rescues dyserythropoiesis in myelodysplastic syndrome. The FASEB Journal. 34(6). 8416–8427. 10 indexed citations

Tang, Liujun, et al.. (2018). Discovering the associations between test items in an examination. Expert Systems. 36(1). 1 indexed citations

Tang, Liujun, et al.. (2016). The predictive value of cervical lymph node metastasis through sentinel lymph node biopsy in patients with oral cancer: A meta-analysis. Journal of Cancer Research and Therapeutics. 12(8). 256–256. 4 indexed citations

Dong, Xiaoming, Rong‐Hua Yin, Yang Yang, et al.. (2014). GATA-2 inhibits transforming growth factor-β signaling pathway through interaction with Smad4. Cellular Signalling. 26(5). 1089–1097. 13 indexed citations

Yin, Rong‐Hua, Yang Li, Fan Yang, et al.. (2014). Expansion of the polyQ repeats in THAP11 forms intranuclear aggregation and causes cell G0/G1 arrest. Cell Biology International. 38(6). 757–767. 4 indexed citations

10.

Zheng, Weiwei, Xiaoming Dong, Rong‐Hua Yin, et al.. (2014). EDAG Positively Regulates Erythroid Differentiation and Modifies GATA1 Acetylation Through Recruiting p300. Stem Cells. 32(8). 2278–2289. 27 indexed citations

11.

Yang, Huiying, Yafang Tan, Tingting Zhang, et al.. (2013). Identification of Novel Protein-Protein Interactions of Yersinia pestis Type III Secretion System by Yeast Two Hybrid System. PLoS ONE. 8(1). e54121–e54121. 15 indexed citations

12.

Yang, Yang, Xiaoming Dong, Liujun Tang, et al.. (2013). Silencing of EDAG Induces Degradation of NPM1 and Sensitivity to Chemotherapeutic Drug in Acute Myeloid Leukemia Patients. ACTA AGRONOMICA SINICA. 40(9). 877–877. 2 indexed citations

13.

Liu, Jing, Xiang-Zhen Kong, Shouguo Zhang, et al.. (2012). Induction of activation of the antioxidant response element and stabilization of Nrf2 by 3-(3-pyridylmethylidene)-2-indolinone (PMID) confers protection against oxidative stress-induced cell death. Toxicology and Applied Pharmacology. 259(2). 227–235. 18 indexed citations

14.

Cao, Mengmeng, Wang‐Xiang Xu, Chang‐Yan Li, et al.. (2011). Hepassocin regulates cell proliferation of the human hepatic cells L02 and hepatocarcinoma cells through different mechanisms. Journal of Cellular Biochemistry. 112(10). 2882–2890. 28 indexed citations

15.

Yu, Miao, Hui Li, Qiongming Liu, et al.. (2011). Nuclear factor p65 interacts with Keap1 to repress the Nrf2-ARE pathway. Cellular Signalling. 23(5). 883–892. 275 indexed citations

16.

Zhang, Tong, Deqing Hu, Chang‐Hui Ge, et al.. (2010). PCBP-1 regulates alternative splicing of the CD44 gene and inhibits invasion in human hepatoma cell line HepG2 cells. Molecular Cancer. 9(1). 72–72. 72 indexed citations

17.

Tang, Liujun, et al.. (1995). [Effect of tetramethylpyrazine on expression of collagen genes in primary cultured smooth muscle cells in rats].. PubMed. 15(11). 666–8. 1 indexed citations

18.

Gao, Baoshan, et al.. (1993). Immunosuppression in murine brucellosis.. PubMed. 8(3). 134–8. 3 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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