Yupei Liang

641 total citations
21 papers, 489 citations indexed

About

Yupei Liang is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, Yupei Liang has authored 21 papers receiving a total of 489 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 9 papers in Oncology and 7 papers in Epidemiology. Recurrent topics in Yupei Liang's work include Ubiquitin and proteasome pathways (14 papers), Autophagy in Disease and Therapy (7 papers) and Cancer-related Molecular Pathways (7 papers). Yupei Liang is often cited by papers focused on Ubiquitin and proteasome pathways (14 papers), Autophagy in Disease and Therapy (7 papers) and Cancer-related Molecular Pathways (7 papers). Yupei Liang collaborates with scholars based in China, South Korea and United States. Yupei Liang's co-authors include Lijun Jia, Lak Shin Jeong, Wenjuan Zhang, Hu Zhao, Lihui Li, Lili Cai, Jinha Yu, Yanyu Jiang, Lijun Jia and Yanmei Zhang and has published in prestigious journals such as Clinical Cancer Research, Biochemical and Biophysical Research Communications and Cell Death and Differentiation.

In The Last Decade

Yupei Liang

21 papers receiving 489 citations

Peers

Yupei Liang
Yupei Liang
Citations per year, relative to Yupei Liang Yupei Liang (= 1×) peers Monika Lamparska‐Przybysz

Countries citing papers authored by Yupei Liang

Since Specialization
Citations

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

Fields of papers citing papers by Yupei Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yupei Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Yupei Liang. A scholar is included among the top collaborators of Yupei Liang 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 Yupei Liang. Yupei Liang 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.
Zhu, Lihua, et al.. (2024). Cycloastragenol induces apoptosis and protective autophagy through AMPK/ULK1/mTOR axis in human non-small cell lung cancer cell lines. Journal of Integrative Medicine. 22(4). 503–514. 11 indexed citations
2.
Liang, Yupei, Ping Chen, Shiwen Wang, et al.. (2024). SCF FBXW5 -mediated degradation of AQP3 suppresses autophagic cell death through the PDPK1-AKT-MTOR axis in hepatocellular carcinoma cells. Autophagy. 20(9). 1984–1999. 6 indexed citations
3.
Zhang, Wenjuan, Shiwen Wang, Lili Cai, et al.. (2021). Cullin3-TNFAIP1 E3 Ligase Controls Inflammatory Response in Hepatocellular Carcinoma Cells via Ubiquitination of RhoB. Frontiers in Cell and Developmental Biology. 9. 617134–617134. 7 indexed citations
4.
Zhang, Wenjuan, Lihui Li, Lili Cai, et al.. (2021). Tumor-associated antigen Prame targets tumor suppressor p14/ARF for degradation as the  receptor protein of CRL2Prame complex. Cell Death and Differentiation. 28(6). 1926–1940. 18 indexed citations
5.
Liang, Yupei, Junqian Zhang, Lihui Li, et al.. (2021). Camptothecin Inhibits Neddylation to Activate the Protective Autophagy Through NF-κB/AMPK/mTOR/ULK1 Axis in Human Esophageal Cancer Cells. Frontiers in Oncology. 11. 671180–671180. 12 indexed citations
6.
Guo, Lin, Yupei Liang, Shiwen Wang, et al.. (2021). Jujuboside B Inhibits the Proliferation of Breast Cancer Cell Lines by Inducing Apoptosis and Autophagy. Frontiers in Pharmacology. 12. 668887–668887. 13 indexed citations
7.
Liang, Yupei, Yanyu Jiang, Xing Jin, et al.. (2020). Neddylation inhibition activates the protective autophagy through NF-κB-catalase-ATF3 Axis in human esophageal cancer cells. Cell Communication and Signaling. 18(1). 72–72. 28 indexed citations
8.
Jiang, Yanyu, Wei Cheng, Lihui Li, et al.. (2020). Effective targeting of the ubiquitin-like modifier NEDD8 for lung adenocarcinoma treatment. Cell Biology and Toxicology. 36(4). 349–364. 12 indexed citations
9.
Zhang, Zhanxia, Changsheng Dong, Guanzhen Yu, et al.. (2019). Smart and dual-targeted BSA nanomedicine with controllable release by high autolysosome levels. Colloids and Surfaces B Biointerfaces. 182. 110325–110325. 10 indexed citations
10.
Jin, Xing, Yupei Liang, Dan Liu, et al.. (2019). An essential role for GLUT5-mediated fructose utilization in exacerbating the malignancy of clear cell renal cell carcinoma. Cell Biology and Toxicology. 35(5). 471–483. 24 indexed citations
11.
Jiang, Yanyu, Yupei Liang, Lihui Li, et al.. (2019). Targeting neddylation inhibits intravascular survival and extravasation of cancer cells to prevent lung-cancer metastasis. Cell Biology and Toxicology. 35(3). 233–245. 24 indexed citations
12.
Li, Lihui, Wenjuan Zhang, Lili Cai, et al.. (2019). Validation of NEDD8-conjugating enzyme UBC12 as a new therapeutic target in lung cancer. EBioMedicine. 45. 81–91. 49 indexed citations
13.
Li, Lihui, Wenjuan Zhang, Lili Cai, et al.. (2019). Validation of NEDD8-Conjugating Enzyme UBC12 As a New Therapeutic Target in Lung Cancer. SSRN Electronic Journal. 2 indexed citations
14.
Liu, Xiaojun, Yanan Jiang, Wenjuan Zhang, et al.. (2017). NEDD8-activating enzyme inhibitor, MLN4924 (Pevonedistat) induces NOXA-dependent apoptosis through up-regulation of ATF-4. Biochemical and Biophysical Research Communications. 488(1). 1–5. 17 indexed citations
15.
Wang, Jiyou, Shiwen Wang, Wenjuan Zhang, et al.. (2017). Targeting neddylation pathway with MLN4924 (Pevonedistat) induces NOXA-dependent apoptosis in renal cell carcinoma. Biochemical and Biophysical Research Communications. 490(4). 1183–1188. 12 indexed citations
16.
Chen, Ping, Tao Hu, Yupei Liang, et al.. (2016). Neddylation Inhibition Activates the Extrinsic Apoptosis Pathway through ATF4–CHOP–DR5 Axis in Human Esophageal Cancer Cells. Clinical Cancer Research. 22(16). 4145–4157. 99 indexed citations
17.
Liang, Yupei, et al.. (2016). Oncolytic vaccine virus harbouring the IL-24 gene suppresses the growth of lung cancer by inducing apoptosis. Biochemical and Biophysical Research Communications. 476(1). 21–28. 28 indexed citations
18.
Zhang, Wenjuan, Zi Yan, Yupei Liang, et al.. (2016). Radiosensitization by the investigational NEDD8-activating enzyme inhibitor MLN4924 (pevonedistat) in hormone-resistant prostate cancer cells. Oncotarget. 7(25). 38380–38391. 27 indexed citations
19.
Chen, Ping, Tao Hu, Yupei Liang, et al.. (2015). Synergistic inhibition of autophagy and neddylation pathways as a novel therapeutic approach for targeting liver cancer. Oncotarget. 6(11). 9002–9017. 43 indexed citations
20.
Wang, Xiaofang, Lihui Li, Yupei Liang, et al.. (2014). Targeting the Neddylation Pathway to Suppress the Growth of Prostate Cancer Cells: Therapeutic Implication for the Men’s Cancer. BioMed Research International. 2014. 1–8. 24 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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