Hanshao Liu

1.3k total citations
13 papers, 777 citations indexed

About

Hanshao Liu is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Hanshao Liu has authored 13 papers receiving a total of 777 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 4 papers in Oncology and 4 papers in Cancer Research. Recurrent topics in Hanshao Liu's work include Cell death mechanisms and regulation (5 papers), Cancer-related Molecular Pathways (4 papers) and Circular RNAs in diseases (3 papers). Hanshao Liu is often cited by papers focused on Cell death mechanisms and regulation (5 papers), Cancer-related Molecular Pathways (4 papers) and Circular RNAs in diseases (3 papers). Hanshao Liu collaborates with scholars based in Japan, China and United States. Hanshao Liu's co-authors include Kiyotsugu Yoshida, Yoshio Miki, Zheng‐Guang Lu, Yang Liu, Lin Zhu, Xianxin Meng, Yueyun Ma, Wei Zhang, Bingya Liu and Huasheng Xiao and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Molecular and Cellular Biology.

In The Last Decade

Hanshao Liu

13 papers receiving 767 citations

Peers

Hanshao Liu
Shi Eun Kang South Korea
Hanshao Liu
Citations per year, relative to Hanshao Liu Hanshao Liu (= 1×) peers Shi Eun Kang

Countries citing papers authored by Hanshao Liu

Since Specialization
Citations

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

Fields of papers citing papers by Hanshao Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hanshao Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Hanshao Liu. A scholar is included among the top collaborators of Hanshao Liu 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 Hanshao Liu. Hanshao Liu 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.
Liu, Zhi, Haohao Zhang, Yiming Hu, et al.. (2020). Critical role of histone H3 lysine 27 demethylase Kdm6b in the homeostasis and function of medullary thymic epithelial cells. Cell Death and Differentiation. 27(10). 2843–2855. 5 indexed citations
2.
Liu, Hanshao, Deji Ye, Aijun Chen, et al.. (2019). A pilot study of new promising non-coding RNA diagnostic biomarkers for early-stage colorectal cancers. Clinical Chemistry and Laboratory Medicine (CCLM). 57(7). 1073–1083. 42 indexed citations
3.
Wang, Qi, Xi Chen, Yuhang Jiang, et al.. (2019). Elevating H3K27me3 level sensitizes colorectal cancer to oxaliplatin. Journal of Molecular Cell Biology. 12(2). 125–137. 58 indexed citations
4.
Chen, Ran, Wang Lunshan, Sanhong Liu, et al.. (2017). Bcl-3 is a novel biomarker of renal fibrosis in chronic kidney disease. Oncotarget. 8(57). 97206–97216. 7 indexed citations
5.
Liu, Hanshao. (2014). MicroRNAs as potential biomarkers for gastric cancer. World Journal of Gastroenterology. 20(34). 12007–12007. 88 indexed citations
6.
Liu, Hanshao, et al.. (2011). PKCδ regulates Mdm2 independently of p53 in the apoptotic response to DNA damage. Molecular Carcinogenesis. 50(9). 719–731. 3 indexed citations
7.
Liu, Hanshao, Lin Zhu, Bingya Liu, et al.. (2011). Genome-wide microRNA profiles identify miR-378 as a serum biomarker for early detection of gastric cancer. Cancer Letters. 316(2). 196–203. 217 indexed citations
8.
Liu, Hanshao, et al.. (2011). Identification of Evi-1 as a novel effector of PKCδ in the apoptotic response to DNA damage. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1809(7). 285–294. 5 indexed citations
9.
Lu, Zheng‐Guang, Hanshao Liu, Tomoko Yamaguchi, Yoshio Miki, & Kiyotsugu Yoshida. (2009). Protein Kinase Cδ Activates RelA/p65 and Nuclear Factor-κB Signaling in Response to Tumor Necrosis Factor-α. Cancer Research. 69(14). 5927–5935. 34 indexed citations
10.
Liu, Hanshao, et al.. (2009). DNA damage signalling recruits RREB-1 to the p53 tumour suppressor promoter. Biochemical Journal. 422(3). 543–551. 35 indexed citations
11.
Kimura, Junko, et al.. (2008). A functional genome-wide RNAi screen identifies TAF1 as a regulator for apoptosis in response to genotoxic stress. Nucleic Acids Research. 36(16). 5250–5259. 39 indexed citations
12.
Liu, Hanshao, Zheng‐Guang Lu, Yoshio Miki, & Kiyotsugu Yoshida. (2007). Protein Kinase C δ Induces Transcription of the TP53 Tumor Suppressor Gene by Controlling Death-Promoting Factor Btf in the Apoptotic Response to DNA Damage. Molecular and Cellular Biology. 27(24). 8480–8491. 92 indexed citations
13.
Yoshida, Kiyotsugu, Hanshao Liu, & Yoshio Miki. (2005). Protein Kinase C δ Regulates Ser46 Phosphorylation of p53 Tumor Suppressor in the Apoptotic Response to DNA Damage. Journal of Biological Chemistry. 281(9). 5734–5740. 152 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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