Rirong Yang

967 total citations
21 papers, 595 citations indexed

About

Rirong Yang is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Rirong Yang has authored 21 papers receiving a total of 595 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Oncology and 7 papers in Immunology. Recurrent topics in Rirong Yang's work include Bladder and Urothelial Cancer Treatments (3 papers), Cancer Cells and Metastasis (3 papers) and MicroRNA in disease regulation (3 papers). Rirong Yang is often cited by papers focused on Bladder and Urothelial Cancer Treatments (3 papers), Cancer Cells and Metastasis (3 papers) and MicroRNA in disease regulation (3 papers). Rirong Yang collaborates with scholars based in China, Italy and United States. Rirong Yang's co-authors include Zhenghua Ren, Jianhua Cui, Hao Cui, Lei Wang, Haojie Yang, Bang‐De Xiang, Jinghang Jiang, Fuquan Yang, Zhe Guo and Zengnan Mo and has published in prestigious journals such as The Journal of Immunology, Journal of the American Society of Nephrology and Applied Microbiology and Biotechnology.

In The Last Decade

Rirong Yang

21 papers receiving 588 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rirong Yang China 13 233 173 125 106 94 21 595
Yang Cheng China 14 331 1.4× 64 0.4× 206 1.6× 63 0.6× 55 0.6× 36 606
Yifei Lv China 12 241 1.0× 52 0.3× 54 0.4× 49 0.5× 75 0.8× 20 567
Quanbao Zhang China 16 252 1.1× 76 0.4× 135 1.1× 164 1.5× 106 1.1× 40 603
Lijuan He China 14 339 1.5× 74 0.4× 136 1.1× 107 1.0× 66 0.7× 47 669
Shun Zhou China 16 375 1.6× 273 1.6× 110 0.9× 68 0.6× 112 1.2× 27 835
Xi Jiang China 14 366 1.6× 173 1.0× 126 1.0× 91 0.9× 48 0.5× 27 740
Kelly D. McCall United States 16 346 1.5× 270 1.6× 99 0.8× 139 1.3× 77 0.8× 35 780
Shuya Zhang China 12 304 1.3× 84 0.5× 62 0.5× 46 0.4× 36 0.4× 21 594
Hsiao‐Yen Hsieh Taiwan 14 284 1.2× 74 0.4× 107 0.9× 89 0.8× 69 0.7× 30 507

Countries citing papers authored by Rirong Yang

Since Specialization
Citations

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

Fields of papers citing papers by Rirong Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rirong Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Rirong Yang. A scholar is included among the top collaborators of Rirong Yang 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 Rirong Yang. Rirong Yang 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.
Li, Lu, et al.. (2025). Cordycepin attenuates NLRP3/Caspase-1/GSDMD-mediated LPS-induced macrophage pyroptosis. Frontiers in Pharmacology. 16. 1526616–1526616. 1 indexed citations
2.
Huang, Rong, Mengying Bao, Yan Dai, et al.. (2024). Single-cell sequencing reveals the heterogeneity of B cells and tertiary lymphoid structures in muscle-invasive bladder cancer. Journal of Translational Medicine. 22(1). 48–48. 16 indexed citations
3.
Li, Haoyu, et al.. (2023). Urinary SPP1 has potential as a non‐invasive diagnostic marker for focal segmental glomerulosclerosis. FEBS Open Bio. 13(11). 2061–2080. 4 indexed citations
4.
Yang, Rirong, et al.. (2022). Identification of Immune-Related Subtypes and Construction of a Novel Prognostic Model for Bladder Urothelial Cancer. Biomolecules. 12(11). 1670–1670. 3 indexed citations
5.
Zhong, Bei, Jun Dong, Rong Zhang, et al.. (2020). Altered regulation of LncRNA analysis of human alcoholic hepatitis with Mallory-Denk Bodies (MDBs) is revealed by RNA sequencing. Experimental and Molecular Pathology. 117. 104559–104559. 2 indexed citations
6.
Wang, Xiaoli, Jian Mo, Ke Wang, et al.. (2020). Cordycepin exhibits a suppressive effect on T cells through inhibiting TCR signaling cascade in CFA-induced inflammation mice model. Immunopharmacology and Immunotoxicology. 42(2). 119–127. 10 indexed citations
7.
Yang, Rirong, Xiaoli Wang, Jian Mo, et al.. (2019). Cordycepin Attenuates IFN-γ-Induced Macrophage IP-10 and Mig Expressions by Inhibiting STAT1 Activity in CFA-Induced Inflammation Mice Model. Inflammation. 43(2). 752–764. 17 indexed citations
8.
Zhang, Yingting, et al.. (2019). α-GalCer and iNKT Cell-Based Cancer Immunotherapy: Realizing the Therapeutic Potentials. Frontiers in Immunology. 10. 1126–1126. 59 indexed citations
9.
Yu, Zhenyuan, Jinling Liao, Yang Chen, et al.. (2019). Single-Cell Transcriptomic Map of the Human and Mouse Bladders. Journal of the American Society of Nephrology. 30(11). 2159–2176. 101 indexed citations
10.
Yang, Rirong, et al.. (2018). Expression of GOLPH3 in patients with non‑small cell lung cancer and xenografts models. Oncology Letters. 15(5). 7555–7562. 11 indexed citations
11.
Pan, Hong, et al.. (2017). GOLPH3: a novel biomarker that correlates with poor survival and resistance to chemotherapy in breast cancer. Oncotarget. 8(62). 105155–105169. 18 indexed citations
12.
Guo, Zhe, Jun Zhang, Haojie Yang, et al.. (2016). Side population in hepatocellular carcinoma HCCLM3 cells is enriched with stem-like cancer cells. Oncology Letters. 11(5). 3145–3151. 19 indexed citations
13.
Jiang, Jinghang, Zhe Guo, Rirong Yang, et al.. (2016). Overexpression of microRNA-21 strengthens stem cell-like characteristics in a hepatocellular carcinoma cell line. World Journal of Surgical Oncology. 14(1). 278–278. 27 indexed citations
14.
Guo, Zhe, Jinghang Jiang, Haojie Yang, et al.. (2015). COX-2 Promotes Migration and Invasion by the Side Population of Cancer Stem Cell-Like Hepatocellular Carcinoma Cells. Medicine. 94(44). e1806–e1806. 42 indexed citations
15.
Jiang, Jinghang, Zhe Guo, Haofeng Lu, et al.. (2015). Adjuvant transarterial chemoembolization after curative resection of hepatocellular carcinoma: Propensity score analysis. World Journal of Gastroenterology. 21(15). 4627–4634. 48 indexed citations
16.
Ren, Zhenghua, Zhongzheng Lu, Lei Wang, et al.. (2015). Rapid production of a H9N2 influenza vaccine from MDCK cells for protecting chicken against influenza virus infection. Applied Microbiology and Biotechnology. 99(7). 2999–3013. 11 indexed citations
17.
Yuan, Shaochun, Tingting Zheng, Peiyi Li, et al.. (2015). Characterization of Amphioxus IFN Regulatory Factor Family Reveals an Archaic Signaling Framework for Innate Immune Response. The Journal of Immunology. 195(12). 5657–5666. 22 indexed citations
18.
Peng, Jian, Xin Tao, Rui Li, et al.. (2015). Novel Toll/IL-1 Receptor Homologous Region Adaptors Act as Negative Regulators in Amphioxus TLR Signaling. The Journal of Immunology. 195(7). 3110–3118. 8 indexed citations
19.
Ren, Zhenghua, et al.. (2013). Resveratrol inhibits NF-kB signaling through suppression of p65 and IkappaB kinase activities.. PubMed. 68(8). 689–94. 118 indexed citations
20.

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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