Yi Niu

2.5k total citations · 2 hit papers
42 papers, 1.8k citations indexed

About

Yi Niu is a scholar working on Molecular Biology, Cancer Research and Statistics and Probability. According to data from OpenAlex, Yi Niu has authored 42 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 20 papers in Cancer Research and 7 papers in Statistics and Probability. Recurrent topics in Yi Niu's work include RNA modifications and cancer (15 papers), Cancer-related molecular mechanisms research (10 papers) and MicroRNA in disease regulation (9 papers). Yi Niu is often cited by papers focused on RNA modifications and cancer (15 papers), Cancer-related molecular mechanisms research (10 papers) and MicroRNA in disease regulation (9 papers). Yi Niu collaborates with scholars based in China, United States and Canada. Yi Niu's co-authors include Guohui Wan, Ziyou Lin, Arabella Wan, Lei Sun, Heng Liang, Xianzhang Bu, Weiling He, Honglei Chen, Dongshi Chen and Xiaobin Wu and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and The EMBO Journal.

In The Last Decade

Yi Niu

39 papers receiving 1.8k citations

Hit Papers

RNA N6-methyladenosine demethylase FTO promotes breast tu... 2019 2026 2021 2023 2019 2020 100 200 300 400

Peers

Yi Niu
Yi Niu
Citations per year, relative to Yi Niu Yi Niu (= 1×) peers Arabella Wan

Countries citing papers authored by Yi Niu

Since Specialization
Citations

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

Fields of papers citing papers by Yi Niu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yi Niu

This figure shows the co-authorship network connecting the top 25 collaborators of Yi Niu. A scholar is included among the top collaborators of Yi 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 Yi Niu. Yi 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.
Tan, B.T.G., Yi Niu, Jianing Guo, et al.. (2025). Tuning the contact time of an impacting droplet by superhydrophobic particles. Physical review. E. 111(4). 45102–45102. 1 indexed citations
2.
Shi, Yunxing, Kai Li, Yichuan Yuan, et al.. (2024). Comprehensive analysis of m6A modification in immune infiltration, metabolism and drug resistance in hepatocellular carcinoma. Cancer Cell International. 24(1). 138–138. 2 indexed citations
3.
Niu, Yi, et al.. (2024). Unleashing the potential of mRNA: Overcoming delivery challenges with nanoparticles. Bioengineering & Translational Medicine. 10(2). e10713–e10713. 2 indexed citations
4.
Shi, Yunxing, Dinglan Zuo, Yi Niu, et al.. (2024). Targeting PRMT3 impairs methylation and oligomerization of HSP60 to boost anti-tumor immunity by activating cGAS/STING signaling. Nature Communications. 15(1). 7930–7930. 19 indexed citations
5.
Wang, Xiaoguang, et al.. (2023). Improving marginal hazard ratio estimation using quadratic inference functions. Lifetime Data Analysis. 29(4). 823–853.
6.
Li, Jialiang, et al.. (2022). Goodness‐of‐fit test for a parametric mixture cure model with partly interval‐censored data. Statistics in Medicine. 42(4). 407–421. 1 indexed citations
7.
Li, Kai, Yi Niu, Yichuan Yuan, et al.. (2022). Insufficient ablation induces E3-ligase Nedd4 to promote hepatocellular carcinoma progression by tuning TGF-β signaling. Oncogene. 41(23). 3197–3209. 13 indexed citations
8.
Lin, Ziyou, Arabella Wan, Lei Sun, et al.. (2022). N6-methyladenosine demethylase FTO enhances chemo-resistance in colorectal cancer through SIVA1-mediated apoptosis. Molecular Therapy. 31(2). 517–534. 56 indexed citations
9.
Niu, Yi, Ziyou Lin, Arabella Wan, et al.. (2021). Loss‐of‐Function Genetic Screening Identifies Aldolase A as an Essential Driver for Liver Cancer Cell Growth Under Hypoxia. Hepatology. 74(3). 1461–1479. 91 indexed citations
10.
Sun, Lei, Arabella Wan, Zhuolong Zhou, et al.. (2020). RNA-binding protein RALY reprogrammes mitochondrial metabolism via mediating miRNA processing in colorectal cancer. Gut. 70(9). 1698–1712. 86 indexed citations
11.
Liu, Meiyue, Jiarui Yu, Dan Wang, et al.. (2019). Epigenetically Upregulated MicroRNA-602 Is Involved in a Negative Feedback Loop with FOXK2 in Esophageal Squamous Cell Carcinoma. Molecular Therapy. 27(10). 1796–1809. 15 indexed citations
12.
Niu, Yi, Ziyou Lin, Arabella Wan, et al.. (2019). RNA N6-methyladenosine demethylase FTO promotes breast tumor progression through inhibiting BNIP3. Molecular Cancer. 18(1). 46–46. 455 indexed citations breakdown →
13.
Niu, Yi, Yan Jin, Shichang Deng, et al.. (2018). MiRNA-646-mediated reciprocal repression between HIF-1α and MIIP contributes to tumorigenesis of pancreatic cancer. Oncogene. 37(13). 1743–1758. 46 indexed citations
14.
Niu, Yi, Arabella Wan, Ziyou Lin, Xiongbin Lu, & Guohui Wan. (2018). N6-Methyladenosine modification: a novel pharmacological target for anti-cancer drug development. Acta Pharmaceutica Sinica B. 8(6). 833–843. 68 indexed citations
15.
He, Xi, Siyuan Chen, Yang Zhao, et al.. (2018). miR-4317 suppresses non-small cell lung cancer (NSCLC) by targeting fibroblast growth factor 9 (FGF9) and cyclin D2 (CCND2). Journal of Experimental & Clinical Cancer Research. 37(1). 230–230. 40 indexed citations
16.
Liu, Meiyue, Yue Zhang, Jie Zhang, et al.. (2018). MicroRNA-1253 suppresses cell proliferation and invasion of non-small-cell lung carcinoma by targeting WNT5A. Cell Death and Disease. 9(2). 189–189. 59 indexed citations
17.
Huang, Huei–Chung, Yi Niu, & Li‐Xuan Qin. (2015). Differential Expression Analysis for RNA-Seq: An Overview of Statistical Methods and Computational Software. Cancer Informatics. 14s1(Suppl 1). CIN.S21631–CIN.S21631. 21 indexed citations
18.
Niu, Yi & Yingwei Peng. (2013). Marginal regression analysis of clustered failure time data with a cure fraction. Journal of Multivariate Analysis. 123. 129–142. 7 indexed citations
19.
Zhao, Gang, Jungang Zhang, Yang Liu, et al.. (2012). miR-148b Functions as a Tumor Suppressor in Pancreatic Cancer by Targeting AMPKα1. Molecular Cancer Therapeutics. 12(1). 83–93. 98 indexed citations
20.
Niu, Yi, Yuankai Shi, Shengyu Zhou, et al.. (2008). Study of conditioning regimens with or without high-dose radiotherapy before autologous stem cell transplantation for treating aggressive lymphoma. International Journal of Hematology. 89(1). 106–112. 1 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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