YU Li-jun

616 total citations
13 papers, 481 citations indexed

About

YU Li-jun is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, YU Li-jun has authored 13 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Oncology and 4 papers in Immunology. Recurrent topics in YU Li-jun's work include interferon and immune responses (3 papers), MicroRNA in disease regulation (3 papers) and Cancer Mechanisms and Therapy (2 papers). YU Li-jun is often cited by papers focused on interferon and immune responses (3 papers), MicroRNA in disease regulation (3 papers) and Cancer Mechanisms and Therapy (2 papers). YU Li-jun collaborates with scholars based in China, India and Mongolia. YU Li-jun's co-authors include Guo-Hua Gong, Cheng‐Xi Wei, Yu Wang, Feng-Mao An, Ming Bian, Qing‐You Kong, Mo‐Li Wu, Xiaohong Chen, Jia Liu and Dan Li and has published in prestigious journals such as PLoS ONE, Nutrients and RSC Advances.

In The Last Decade

YU Li-jun

13 papers receiving 475 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
YU Li-jun China	10	247	160	90	72	66	13	481
Haitao Yin China	12	353 1.4×	113 0.7×	123 1.4×	47 0.7×	25 0.4×	18	623
Shuo Yu China	9	197 0.8×	84 0.5×	97 1.1×	38 0.5×	33 0.5×	14	401
Riyako Terazawa Japan	8	237 1.0×	116 0.7×	88 1.0×	17 0.2×	67 1.0×	9	521
Tania Arcangeli Italy	4	269 1.1×	123 0.8×	67 0.7×	150 2.1×	91 1.4×	6	584
Jesalyn Bolduc United States	7	340 1.4×	82 0.5×	52 0.6×	18 0.3×	69 1.0×	8	676
Hisanori Miki Japan	12	463 1.9×	68 0.4×	148 1.6×	114 1.6×	82 1.2×	41	793
Cung Hoa Thien Quach South Korea	8	162 0.7×	87 0.5×	25 0.3×	72 1.0×	69 1.0×	11	382
Ligang Nan China	7	196 0.8×	128 0.8×	129 1.4×	31 0.4×	18 0.3×	7	386
Tongke Chen China	14	379 1.5×	133 0.8×	69 0.8×	14 0.2×	38 0.6×	19	619
Yu Liang China	15	278 1.1×	111 0.7×	101 1.1×	55 0.8×	32 0.5×	25	624

Countries citing papers authored by YU Li-jun

Since Specialization

Citations

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

Fields of papers citing papers by YU Li-jun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by YU Li-jun. 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 YU Li-jun. The network helps show where YU Li-jun may publish in the future.

Co-authorship network of co-authors of YU Li-jun

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

All Works

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13 of 13 papers shown

Hong, Feng, et al.. (2025). Recent advances of CO2 hydrogenation to methanol. 8. 100111–100111. 6 indexed citations

Wang, Limin, et al.. (2021). LINC00665 Facilitates the Malignant Processes of Osteosarcoma by Increasing the RAP1B Expression via Sponging miR-708 and miR-142-5p. Analytical Cellular Pathology. 2021. 1–9. 7 indexed citations

Li-jun, YU, et al.. (2019). miR-1301/TRIAP1 Axis Participates in Epirubicin-Mediated Anti-Proliferation and Pro-Apoptosis in Osteosarcoma. Yonsei Medical Journal. 60(9). 832–832. 10 indexed citations

Liu, Jia, et al.. (2018). Current research on anti-breast cancer synthetic compounds. RSC Advances. 8(8). 4386–4416. 37 indexed citations

Gong, Guo-Hua, Feng-Mao An, Yu Wang, et al.. (2017). miR-15b represses BACE1 expression in sporadic Alzheimer’s disease. Oncotarget. 8(53). 91551–91557. 51 indexed citations

An, Feng-Mao, Guo-Hua Gong, Yu Wang, et al.. (2017). MiR-124 acts as a target for Alzheimer’s disease by regulating BACE1. Oncotarget. 8(69). 114065–114071. 106 indexed citations

Li, Cong, Hong Li, Peng Zhang, et al.. (2016). SHP2, SOCS3 and PIAS3 Expression Patterns in Medulloblastomas: Relevance to STAT3 Activation and Resveratrol-Suppressed STAT3 Signaling. Nutrients. 9(1). 3–3. 35 indexed citations

Wang, Dandan, Wei Liu, Xu Cheng, et al.. (2016). Bioengineering three-dimensional culture model of human lung cancer cells: an improved tool for screening EGFR targeted inhibitors. RSC Advances. 6(29). 24083–24090. 15 indexed citations

Wu, Mo‐Li, Hong Li, YU Li-jun, et al.. (2014). Short-Term Resveratrol Exposure Causes In Vitro and In Vivo Growth Inhibition and Apoptosis of Bladder Cancer Cells. PLoS ONE. 9(2). e89806–e89806. 71 indexed citations

10.

Ma, Jingxin, Hong Li, Xiaoxin Cheng, et al.. (2013). Inhibition of SIRT1 Transcription in Resveratrol-differentiated Medulloblastoma Cells. Functional Foods in Health and Disease. 3(5). 154–154. 4 indexed citations

11.

Liu, Zuojia, et al.. (2012). Gallic Acid as a Cancer-Selective Agent Induces Apoptosis in Pancreatic Cancer Cells. Chemotherapy. 58(3). 185–194. 52 indexed citations

12.

Li-jun, YU, Mo‐Li Wu, Hong Li, et al.. (2008). Inhibition of STAT3 Expression and Signaling in Resveratrol-Differentiated Medulloblastoma Cells. Neoplasia. 10(7). 736–744. 76 indexed citations

13.

Xu, Zhifang, et al.. (2008). RNA-electroporated CD40-activated B cells induce functional T-cell responses against HepG2 cells. European Journal of Cancer Care. 17(4). 404–411. 11 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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