Ruifang Niu

4.8k total citations
87 papers, 3.9k citations indexed

About

Ruifang Niu is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Ruifang Niu has authored 87 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Molecular Biology, 30 papers in Oncology and 22 papers in Cancer Research. Recurrent topics in Ruifang Niu's work include Nanoparticle-Based Drug Delivery (11 papers), RNA Interference and Gene Delivery (10 papers) and Cytokine Signaling Pathways and Interactions (9 papers). Ruifang Niu is often cited by papers focused on Nanoparticle-Based Drug Delivery (11 papers), RNA Interference and Gene Delivery (10 papers) and Cytokine Signaling Pathways and Interactions (9 papers). Ruifang Niu collaborates with scholars based in China, Canada and United States. Ruifang Niu's co-authors include Fei Zhang, Peiqi Zhao, Hanjie Wang, Jin Chang, Man Yu, Ran Tian, Wei Ji, Jie Zhang, Jie Yuan and Xishan Hao and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Ruifang Niu

85 papers receiving 3.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ruifang Niu China 38 2.5k 972 969 548 417 87 3.9k
Joanna Kopecka Italy 38 1.9k 0.7× 935 1.0× 1.0k 1.0× 447 0.8× 427 1.0× 92 3.7k
Joshua A. McCarroll Australia 30 2.1k 0.8× 581 0.6× 1.3k 1.3× 424 0.8× 560 1.3× 61 4.0k
Xiaodong Xie China 32 1.7k 0.7× 614 0.6× 625 0.6× 375 0.7× 506 1.2× 141 3.2k
Carlotta A. Glackin United States 41 3.1k 1.2× 1.1k 1.1× 1.9k 1.9× 322 0.6× 397 1.0× 79 5.3k
Ke Xu China 38 2.1k 0.8× 1.1k 1.2× 792 0.8× 262 0.5× 540 1.3× 145 4.2k
Yan Zhuang China 40 2.9k 1.1× 668 0.7× 593 0.6× 453 0.8× 500 1.2× 121 4.8k
Carlo Leonetti Italy 41 3.2k 1.3× 684 0.7× 1.8k 1.8× 283 0.5× 247 0.6× 129 5.1k
Fabio Pastorino Italy 36 2.1k 0.8× 652 0.7× 803 0.8× 614 1.1× 462 1.1× 90 3.5k
Arati Sharma United States 30 2.5k 1.0× 399 0.4× 1.1k 1.1× 286 0.5× 424 1.0× 90 3.9k
Flavio Curnis Italy 34 2.1k 0.8× 425 0.4× 1.5k 1.5× 480 0.9× 393 0.9× 79 3.9k

Countries citing papers authored by Ruifang Niu

Since Specialization
Citations

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

Fields of papers citing papers by Ruifang Niu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruifang Niu

This figure shows the co-authorship network connecting the top 25 collaborators of Ruifang Niu. A scholar is included among the top collaborators of Ruifang Niu 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 Ruifang Niu. Ruifang Niu 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.
Jia, Yanfei, Luoming Zhang, Shuhua Chen, et al.. (2025). Rack1 promotes breast cancer stemness properties and tumorigenesis through the E2F1-SOX2 axis. Cancer Cell International. 25(1). 40–40. 1 indexed citations
2.
Yang, Yichen, Lu Chen, Ben Liu, et al.. (2025). CRTC2 Forms Co-Condensates with YTHDF2 That Enhance Translational Efficiency of m6A-Modified mRNAs to Drive Hepatocarcinogenesis and Lenvatinib Resistance. Cancer Research. 85(11). 2046–2066. 2 indexed citations
3.
4.
Wang, Zhaosong, et al.. (2023). Fructose-Induced mTORC1 Activation Promotes Pancreatic Cancer Progression through Inhibition of Autophagy. Cancer Research. 83(24). 4063–4079. 26 indexed citations
5.
6.
Han, Baoai, et al.. (2021). Identification of Metabolic-Associated Genes for the Prediction of Colon and Rectal Adenocarcinoma. OncoTargets and Therapy. Volume 14. 2259–2277. 12 indexed citations
7.
Wang, Lushan, Ning Wang, Dong Dong, et al.. (2020). TGFβ regulates NK1R-Tr to affect the proliferation and apoptosis of breast cancer cells. Life Sciences. 256. 117674–117674. 9 indexed citations
8.
Wang, Tong, Zhiyong Wang, Ruifang Niu, & Liang Wang. (2019). Crucial role of Anxa2 in cancer progression: highlights on its novel regulatory mechanism. Cancer Biology and Medicine. 16(4). 671–687. 51 indexed citations
9.
Dong, Dong, Jia Li, Wei Ji, et al.. (2018). Identification of Serum Periostin as a Potential Diagnostic and Prognostic Marker for Colorectal Cancer. Clinical Laboratory. 64(06/2018). 973–981. 18 indexed citations
10.
11.
Zhang, Fei, Zhiyong Wang, Jie Yuan, et al.. (2015). RNAi-mediated silencing of Anxa2 inhibits breast cancer cell proliferation by downregulating cyclin D1 in STAT3-dependent pathway. Breast Cancer Research and Treatment. 153(2). 263–275. 22 indexed citations
12.
Song, Fengju, Da Yang, Ben Liu, et al.. (2013). Integrated MicroRNA Network Analyses Identify a Poor-Prognosis Subtype of Gastric Cancer Characterized by the miR-200 Family. Clinical Cancer Research. 20(4). 878–889. 94 indexed citations
13.
Wang, Yuqing, Fei Zhang, Ran Tian, et al.. (2012). Tyrosine 23 Phosphorylation of Annexin A2 Promotes Proliferation, Invasion, and Stat3 Phosphorylation in the Nucleus of Human Breast Cancer SK-BR-3 Cells. SHILAP Revista de lepidopterología. 24 indexed citations
14.
Wang, Hanjie, Sheng Wang, Zhenyu Liao, et al.. (2012). Folate-targeting magnetic core–shell nanocarriers for selective drug release and imaging. International Journal of Pharmaceutics. 430(1-2). 342–349. 39 indexed citations
15.
Zhao, Peiqi, Hanjie Wang, Man Yu, et al.. (2010). Paclitaxel-Loaded, Folic-Acid-Targeted and TAT-Peptide-Conjugated Polymeric Liposomes: In Vitro and In Vivo Evaluation. Pharmaceutical Research. 27(9). 1914–1926. 58 indexed citations
16.
Zhang, Baogang, Feng Gu, Hua Guo, et al.. (2009). Reduction of Akt2 inhibits migration and invasion of glioma cells. International Journal of Cancer. 125(3). 585–595. 72 indexed citations
17.
Wu, Jing, Baogang Zhang, Min Wu, et al.. (2009). Screening of a PKC ζ-specific kinase inhibitor PKCzI257.3 which inhibits EGF-induced breast cancer cell chemotaxis. Investigational New Drugs. 28(3). 268–275. 24 indexed citations
18.
Zhang, Bin, Xuchen Cao, Yanxue Liu, et al.. (2008). Tumor-derived matrix metalloproteinase-13 (MMP-13) correlates with poor prognosis of invasive breast cancer. BMC Cancer. 8(1). 83–83. 131 indexed citations
19.
Yu, Man, Yunli Zhou, Yurong Shi, et al.. (2007). Reduced mitochondrial DNA copy number is correlated with tumor progression and prognosis in Chinese breast cancer patients. IUBMB Life. 59(7). 450–457. 210 indexed citations
20.
Yu, Man, Yurong Shi, Xiyin Wei, et al.. (2007). Depletion of mitochondrial DNA by ethidium bromide treatment inhibits the proliferation and tumorigenesis of T47D human breast cancer cells. Toxicology Letters. 170(1). 83–93. 70 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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