Liman Niu

600 total citations
13 papers, 319 citations indexed

About

Liman Niu is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Liman Niu has authored 13 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Immunology and 3 papers in Oncology. Recurrent topics in Liman Niu's work include interferon and immune responses (3 papers), TGF-β signaling in diseases (2 papers) and Cancer-related molecular mechanisms research (2 papers). Liman Niu is often cited by papers focused on interferon and immune responses (3 papers), TGF-β signaling in diseases (2 papers) and Cancer-related molecular mechanisms research (2 papers). Liman Niu collaborates with scholars based in China, Thailand and United States. Liman Niu's co-authors include Yang Sun, Linjiao Chen, Fangzhou Lou, Zhenyao Xu, Zhikai Wang, Hong Wang, Qianqian Yin, Libo Sun, Xueling Cui and Zhonghui Liu and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Oncogene.

In The Last Decade

Liman Niu

13 papers receiving 315 citations

Peers

Liman Niu
Liman Niu
Citations per year, relative to Liman Niu Liman Niu (= 1×) peers Nanxin Zheng

Countries citing papers authored by Liman Niu

Since Specialization
Citations

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

Fields of papers citing papers by Liman Niu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liman Niu

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

All Works

13 of 13 papers shown
1.
Guo, Ting, et al.. (2024). Engineered targeting OIP5 sensitizes bladder cancer to chemotherapy resistance via TRIP12-PPP1CB-YBX1 axis. Oncogene. 43(38). 2850–2867. 1 indexed citations
2.
Li, Xingkai, et al.. (2024). FAK-LINC01089 negative regulatory loop controls chemoresistance and progression of small cell lung cancer. Oncogene. 43(22). 1669–1687. 6 indexed citations
3.
Zheng-Lin, Binbin, Yanping Chen, Liman Niu, et al.. (2024). Modulating the tumoral SPARC content to enhance albumin-based drug delivery for cancer therapy. Journal of Controlled Release. 366. 596–610. 21 indexed citations
4.
Zheng-Lin, Binbin, Liman Niu, Haibo Xu, et al.. (2023). Engineering redirected NF-κB/OIP5 expression programs to enhance tumor responses to chemotherapy in bladder cancer. Science Bulletin. 68(24). 3207–3224. 3 indexed citations
5.
Liu, Xin, et al.. (2023). Clinical and genetic findings in Chinese families with congenital ectopia lentis. Molecular Genetics & Genomic Medicine. 11(5). e2140–e2140. 2 indexed citations
6.
Wang, Chenguang, Haibo Xu, Wujiao Li, et al.. (2022). Hypertension Promotes the Proliferation and Migration of ccRCC Cells by Downregulation of TIMP3 in Tumor Endothelial Cells through the miR-21–5p/TGFBR2/P38/EGR1 Axis. Molecular Cancer Research. 21(1). 62–75. 8 indexed citations
7.
Chen, Linjiao, Jing Bai, Danhong Peng, et al.. (2021). SZB120 Exhibits Immunomodulatory Effects by Targeting eIF2α to Suppress Th17 Cell Differentiation. The Journal of Immunology. 206(5). 953–962. 5 indexed citations
8.
Niu, Liman, Fangzhou Lou, Yang Sun, et al.. (2020). A micropeptide encoded by lncRNA MIR155HG suppresses autoimmune inflammation via modulating antigen presentation. Science Advances. 6(21). eaaz2059–eaaz2059. 144 indexed citations
9.
Peng, Danhong, Linjiao Chen, Yang Sun, et al.. (2020). Melanoma suppression by quercein is correlated with RIG-I and type I interferon signaling. Biomedicine & Pharmacotherapy. 125. 109984–109984. 31 indexed citations
10.
Bai, Jing, Yuanyuan Gao, Linjiao Chen, et al.. (2018). Identification of a natural inhibitor of methionine adenosyltransferase 2A regulating one-carbon metabolism in keratinocytes. EBioMedicine. 39. 575–590. 22 indexed citations
11.
Niu, Liman, Xueling Cui, Yan Qi, et al.. (2016). Involvement of TGF-β1/Smad3 Signaling in Carbon Tetrachloride-Induced Acute Liver Injury in Mice. PLoS ONE. 11(5). e0156090–e0156090. 47 indexed citations
12.
Li, Nan, Xueling Cui, Jingyan Ge, et al.. (2013). Activin A inhibits activities of lipopolysaccharide-activated macrophages via TLR4, not of TLR2. Biochemical and Biophysical Research Communications. 435(2). 222–228. 26 indexed citations
13.
Link, Todd, Xinhua Chen, Liman Niu, & Vern L. Schramm. (1996). A hypothesis to explain the substrate reactivity of ribosomal and stem-loop RNA with ricin A-chain. Toxicon. 34(11-12). 1317–1324. 3 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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