Yu‐Rong Qiu

2.0k total citations
55 papers, 1.5k citations indexed

About

Yu‐Rong Qiu is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Yu‐Rong Qiu has authored 55 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 20 papers in Immunology and 15 papers in Cancer Research. Recurrent topics in Yu‐Rong Qiu's work include Cancer-related molecular mechanisms research (9 papers), MicroRNA in disease regulation (8 papers) and Immune Cell Function and Interaction (7 papers). Yu‐Rong Qiu is often cited by papers focused on Cancer-related molecular mechanisms research (9 papers), MicroRNA in disease regulation (8 papers) and Immune Cell Function and Interaction (7 papers). Yu‐Rong Qiu collaborates with scholars based in China, United States and Canada. Yu‐Rong Qiu's co-authors include Lei Zheng, Yan‐Wei Hu, Hongxia Wang, Haixia Li, Jiayi Zhao, Chun‐Min Kang, Xin Ma, Qian Wang, Ji-Juan Gao and Yan-Hua Sha and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and The Journal of Immunology.

In The Last Decade

Yu‐Rong Qiu

55 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu‐Rong Qiu China 24 973 652 344 136 124 55 1.5k
Feng Jiang China 25 1.2k 1.2× 597 0.9× 244 0.7× 123 0.9× 198 1.6× 70 1.7k
Maomao Zhang China 23 1.1k 1.1× 645 1.0× 351 1.0× 141 1.0× 111 0.9× 65 1.8k
Anqi Li China 23 945 1.0× 343 0.5× 140 0.4× 145 1.1× 235 1.9× 97 1.4k
Tao Huang China 24 1.0k 1.1× 560 0.9× 140 0.4× 88 0.6× 133 1.1× 115 1.8k
Feng Qi China 22 814 0.8× 472 0.7× 244 0.7× 125 0.9× 242 2.0× 74 1.4k
Katharina Michalik Germany 12 1.0k 1.0× 848 1.3× 115 0.3× 107 0.8× 58 0.5× 17 1.5k
Yideng Jiang China 24 715 0.7× 262 0.4× 164 0.5× 124 0.9× 67 0.5× 55 1.3k
Yuanyuan Liu China 18 2.2k 2.3× 1.1k 1.7× 219 0.6× 121 0.9× 256 2.1× 47 2.6k
Xinfeng Yu China 20 998 1.0× 695 1.1× 307 0.9× 78 0.6× 341 2.8× 43 1.7k
Xiaoqi Wang China 22 905 0.9× 248 0.4× 318 0.9× 100 0.7× 245 2.0× 66 1.4k

Countries citing papers authored by Yu‐Rong Qiu

Since Specialization
Citations

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

Fields of papers citing papers by Yu‐Rong Qiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu‐Rong Qiu. 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‐Rong Qiu. The network helps show where Yu‐Rong Qiu may publish in the future.

Co-authorship network of co-authors of Yu‐Rong Qiu

This figure shows the co-authorship network connecting the top 25 collaborators of Yu‐Rong Qiu. A scholar is included among the top collaborators of Yu‐Rong Qiu 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‐Rong Qiu. Yu‐Rong Qiu 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
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Wang, Hongxia, Qian Zhang, Jiayu Zhang, et al.. (2021). CD74 regulates cellularity and maturation of medullary thymic epithelial cells partially by activating the canonical NF‐κB signaling pathway. The FASEB Journal. 35(5). e21535–e21535. 5 indexed citations
4.
Wang, Hongxia, Lei Zheng, Xiao‐Ping Zhong, et al.. (2020). Thymic Epithelial Cells Contribute to Thymopoiesis and T Cell Development. Frontiers in Immunology. 10. 3099–3099. 65 indexed citations
5.
Wang, Haifang, Chen Fu, Jun Du, et al.. (2020). Enhanced histone H3 acetylation of the PD-L1 promoter via the COP1/c-Jun/HDAC3 axis is required for PD-L1 expression in drug-resistant cancer cells. Journal of Experimental & Clinical Cancer Research. 39(1). 29–29. 71 indexed citations
6.
Li, Jinqing, Zichao Yang, Han Liu, et al.. (2019). ADS-J1 disaggregates semen-derived amyloid fibrils. Biochemical Journal. 476(6). 1021–1035. 4 indexed citations
7.
Li, Xin, Jie Pan, Hui Zhou, et al.. (2019). A multi-centre study for standardization of antinuclear antibody indirect immunofluorescence screening with automated system. Journal of Immunological Methods. 477. 112701–112701. 3 indexed citations
8.
Tan, Suiyi, Jinqing Li, Zhaofeng Li, et al.. (2019). The anti-parasitic drug suramin potently inhibits formation of seminal amyloid fibrils and their interaction with HIV-1. Journal of Biological Chemistry. 294(37). 13740–13754. 5 indexed citations
9.
Hu, Yan‐Wei, Shao-Guo Wu, Jingjing Zhao, et al.. (2016). VNN1 promotes atherosclerosis progression in apoE−/− mice fed a high-fat/high-cholesterol diet. Journal of Lipid Research. 57(8). 1398–1411. 23 indexed citations
10.
Wang, Hongxia, Yu‐Rong Qiu, & Xiao‐Ping Zhong. (2016). Intercellular Protein Transfer from Thymocytes to Thymic Epithelial Cells. PLoS ONE. 11(3). e0152641–e0152641. 6 indexed citations
11.
Kang, Chun‐Min, Yan‐Wei Hu, Ying Nie, et al.. (2016). Long non-coding RNA RP5-833A20.1 inhibits proliferation, metastasis and cell cycle progression by suppressing the expression of NFIA in U251 cells. Molecular Medicine Reports. 14(6). 5288–5296. 21 indexed citations
12.
Hu, Yan‐Wei, Zhiping Chen, Xiumei Hu, et al.. (2015). The miR-573/apoM/Bcl2A1-dependent signal transduction pathway is essential for hepatocyte apoptosis and hepatocarcinogenesis. APOPTOSIS. 20(10). 1321–1337. 23 indexed citations
13.
Wu, Jinhong, Jialong Yang, Kai Yang, et al.. (2014). iNKT cells require TSC1 for terminal maturation and effector lineage fate decisions. Journal of Clinical Investigation. 124(4). 1685–1698. 49 indexed citations
14.
Hu, Yan‐Wei, Junyao Yang, Xin Ma, et al.. (2014). A lincRNA-DYNLRB2-2/GPR119/GLP-1R/ABCA1-dependent signal transduction pathway is essential for the regulation of cholesterol homeostasis. Journal of Lipid Research. 55(4). 681–697. 129 indexed citations
15.
Yang, Jialong, et al.. (2014). Role of Tumor Suppressor TSC1 in Regulating Antigen-Specific Primary and Memory CD8 T Cell Responses to Bacterial Infection. Infection and Immunity. 82(7). 3045–3057. 19 indexed citations
16.
Hu, Yan‐Wei, Ya-Rong Hu, Jiayi Zhao, et al.. (2014). An Agomir of miR-144-3p Accelerates Plaque Formation through Impairing Reverse Cholesterol Transport and Promoting Pro-Inflammatory Cytokine Production. PLoS ONE. 9(4). e94997–e94997. 103 indexed citations
17.
Li, Liyan, Qiang Li, Yan‐hong Yu, et al.. (2011). A primer design strategy for PCR amplification of GC-rich DNA sequences. Clinical Biochemistry. 44(8-9). 692–698. 14 indexed citations
18.
Huang, Jianjun, et al.. (2010). A PTPN22 promoter polymorphism −1123G>C is associated with RA pathogenesis in Chinese. Rheumatology International. 32(3). 767–771. 33 indexed citations
19.
Li, Hua, et al.. (2005). [Value of the antigen with molecular mass of 32 000 in immunodiagnosis of Angiostrongylus cantonensis].. PubMed. 25(4). 380–3. 4 indexed citations
20.
Qiu, Yu‐Rong, et al.. (2002). [Analysis of CD8(+) and CD8(+)CD28(-) cell subsets in patients with hepatocellular carcinoma].. PubMed. 22(1). 72–3. 4 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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