Liu Y

14.7k total citations · 4 hit papers
299 papers, 12.3k citations indexed

About

Liu Y is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Liu Y has authored 299 papers receiving a total of 12.3k indexed citations (citations by other indexed papers that have themselves been cited), including 151 papers in Molecular Biology, 57 papers in Cancer Research and 54 papers in Immunology. Recurrent topics in Liu Y's work include Protein Tyrosine Phosphatases (28 papers), Cytokine Signaling Pathways and Interactions (18 papers) and Cancer-related molecular mechanisms research (18 papers). Liu Y is often cited by papers focused on Protein Tyrosine Phosphatases (28 papers), Cytokine Signaling Pathways and Interactions (18 papers) and Cancer-related molecular mechanisms research (18 papers). Liu Y collaborates with scholars based in United States, China and Japan. Liu Y's co-authors include Nikki J. Holbrook, Myriam Gorospe, Leif D. Nelin, Kathryn Z. Guyton, Qingbo Xu, Edward G. Shepherd, Jennifer L. Martindale, Xiantao Wang, Xianxi Wang and Dorothy Hutter and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Liu Y

283 papers receiving 12.1k citations

Hit Papers

Activation of Mitogen-activated Protein Kinase by H2O2 1996 2026 2006 2016 1996 2012 1998 2007 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liu Y United States 54 7.4k 2.5k 1.9k 1.7k 1.1k 299 12.3k
Philippe Marchetti France 62 9.9k 1.3× 2.3k 0.9× 1.6k 0.9× 2.4k 1.4× 878 0.8× 177 16.1k
Wei Wei China 57 6.8k 0.9× 2.9k 1.1× 2.3k 1.3× 2.0k 1.2× 913 0.9× 474 13.7k
Yan Chen China 65 8.4k 1.1× 1.9k 0.8× 1.5k 0.8× 1.3k 0.7× 1.7k 1.6× 416 13.9k
Peng Li China 56 6.3k 0.8× 2.7k 1.1× 1.2k 0.7× 2.4k 1.4× 1.4k 1.4× 408 13.3k
Cheorl‐Ho Kim South Korea 57 7.3k 1.0× 1.7k 0.7× 1.6k 0.9× 1.1k 0.7× 622 0.6× 602 14.4k
Richard D. Ye United States 65 7.2k 1.0× 4.1k 1.6× 1.4k 0.8× 1.6k 1.0× 1.5k 1.4× 245 13.4k
Wan‐Wan Lin Taiwan 53 5.0k 0.7× 2.9k 1.1× 1.6k 0.9× 1.7k 1.0× 995 0.9× 211 10.7k
Thomas G. Cotter Ireland 64 11.8k 1.6× 2.6k 1.1× 1.8k 1.0× 2.6k 1.5× 1.2k 1.1× 244 18.4k
David M. Hockenbery United States 50 10.5k 1.4× 3.2k 1.3× 2.1k 1.1× 3.6k 2.1× 973 0.9× 124 16.7k
Yong J. Lee United States 57 6.6k 0.9× 1.3k 0.5× 1.7k 0.9× 1.6k 1.0× 748 0.7× 253 10.6k

Countries citing papers authored by Liu Y

Since Specialization
Citations

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

Fields of papers citing papers by Liu Y

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liu Y

This figure shows the co-authorship network connecting the top 25 collaborators of Liu Y. A scholar is included among the top collaborators of Liu Y 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 Liu Y. Liu Y 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.
Y, Liu, et al.. (2025). Compressive spectral imaging with color-coded illumination. Optics & Laser Technology. 184. 112446–112446. 2 indexed citations
2.
Liu, Xianyang, Xingyun Liao, Liu Y, et al.. (2023). A de novo missense mutation in MPP2 confers an increased risk of Vogt–Koyanagi–Harada disease as shown by trio-based whole-exome sequencing. Cellular and Molecular Immunology. 20(11). 1379–1392. 13 indexed citations
3.
Gu, Yong, et al.. (2022). Borealin Promotes Tumor Growth and Metastasis by Activating the Wnt/β-Catenin Signaling Pathway in Hepatocellular Carcinoma. SHILAP Revista de lepidopterología.
4.
Xia, Wei, et al.. (2020). MicroRNA-423 Drug Resistance and Proliferation of Breast Cancer Cells by Targeting ZFP36. SHILAP Revista de lepidopterología. 1 indexed citations
5.
Chu, Jian, et al.. (2020). A Trial of the Safety and Efficacy of Chemotherapy Plus Anlotinib vs Chemotherapy Alone as Second- or Third-Line Salvage Treatment for Advanced Non-Small Cell Lung Cancer. SHILAP Revista de lepidopterología. 2 indexed citations
6.
Sun, Jun, Silu Wang, Liu P, & Liu Y. (2020). MiR-139-5p-ZEB1 is a Molecular Regulator of Growth, Invasion, and Epithelial-to-Mesenchymal Transition of Cervical Cancer. SHILAP Revista de lepidopterología. 1 indexed citations
7.
Sun, Caixing, Li Zhang, Wenjing Zhang, et al.. (2020). Expression of PD-1 and PD-L1 on Tumor-Infiltrating Lymphocytes Predicts Prognosis in Patients with Small-Cell Lung Cancer. SHILAP Revista de lepidopterología. 1 indexed citations
8.
Y, Liu, et al.. (2020). Adverse Effects of Immune-Checkpoint Inhibitors in Hepatocellular Carcinoma. SHILAP Revista de lepidopterología. 1 indexed citations
9.
Y, Liu, Xiuli Wang, Bin Xu, et al.. (2020). LPS Enhances the Chemosensitivity of Oxaliplatin in HT29 Cells via GSDMD-Mediated Pyroptosis. SHILAP Revista de lepidopterología. 1 indexed citations
10.
Cheng, Fafeng, et al.. (2020). Agomelatine Attenuates Isoflurane-Induced Inflammation and Damage in Brain Endothelial Cells. SHILAP Revista de lepidopterología.
11.
Bauerfeld, Christian, Harvinder Talwar, Kezhong Zhang, Liu Y, & Lobelia Samavati. (2020). MKP-1 Modulates Mitochondrial Transcription Factors, Oxidative Phosphorylation, and Glycolysis. ImmunoHorizons. 4(5). 245–258. 10 indexed citations
12.
Y, Liu, et al.. (2019). Bone marrow mesenchymal stem cell-derived exosomes attenuate D-GaIN/LPS-induced hepatocyte apoptosis by activating autophagy in vitro. SHILAP Revista de lepidopterología. 2 indexed citations
13.
Wang, Chao, et al.. (2019). MAPT promoter CpG island hypermethylation is associated with poor prognosis in patients with stage II colorectal cancer. SHILAP Revista de lepidopterología. 2 indexed citations
14.
Yj, Kim, Haribalan Perumalsamy, Verónica Castro-Aceituno, et al.. (2019). Photoluminescent And Self-Assembled Hyaluronic Acid-Zinc Oxide-Ginsenoside Rh2 Nanoparticles And Their Potential Caspase-9 Apoptotic Mechanism Towards Cancer Cell Lines. SHILAP Revista de lepidopterología. 1 indexed citations
15.
Wang, Yan, et al.. (2019). Prognostic Significance Of Platelet-To-Lymphocyte Ratio (PLR) And Mean Platelet Volume (MPV) During Etoposide-Based First-Line Treatment In Small Cell Lung Cancer Patients. SHILAP Revista de lepidopterología. 2 indexed citations
16.
Y, Li, et al.. (2019). LncRNA NEAT1 Promotes Proliferation, Migration And Invasion Via Regulating miR-296-5p/CNN2 Axis In Hepatocellular Carcinoma Cells. SHILAP Revista de lepidopterología. 5 indexed citations
17.
Li, Jinhui, Xiantao Wang, William E. Ackerman, et al.. (2018). Dysregulation of Lipid Metabolism in Mkp-1 Deficient Mice during Gram-Negative Sepsis. International Journal of Molecular Sciences. 19(12). 3904–3904. 18 indexed citations
18.
Ma, Yun, et al.. (2016). [Expression of XPG Gene in Forensic Age Estimation].. PubMed. 32(6). 415–419. 2 indexed citations
19.
Chang, Jihoon, Timothy Voorhees, Liu Y, Yongge Zhao, & Cheong‐Hee Chang. (2010). Interleukin-23 production in dendritic cells is negatively regulated by protein phosphatase 2A. Proceedings of the National Academy of Sciences. 107(18). 8340–8345. 30 indexed citations
20.
Z, Liu, et al.. (2000). [Is Gly460Trp variant of alpha-adducin associated with essential hypertension in the Hans of Chinese population].. PubMed. 17(6). 413–6. 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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