Qiyu Feng

1.5k total citations
25 papers, 1.2k citations indexed

About

Qiyu Feng is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Qiyu Feng has authored 25 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 7 papers in Cancer Research and 5 papers in Oncology. Recurrent topics in Qiyu Feng's work include Protein Kinase Regulation and GTPase Signaling (7 papers), Extracellular vesicles in disease (4 papers) and MicroRNA in disease regulation (4 papers). Qiyu Feng is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (7 papers), Extracellular vesicles in disease (4 papers) and MicroRNA in disease regulation (4 papers). Qiyu Feng collaborates with scholars based in United States and China. Qiyu Feng's co-authors include Richard A. Cerione, Dan Baird, Marc A. Antonyak, Daniel Baird, Kristin F. Wilson, Wannian Yang, Joseph E. Druso, Alana L. Welm, David H. Lum and Bryant S. Blank and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and The EMBO Journal.

In The Last Decade

Qiyu Feng

25 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qiyu Feng United States 16 806 287 241 140 124 25 1.2k
Zhiyou Fang China 22 923 1.1× 310 1.1× 338 1.4× 143 1.0× 181 1.5× 44 1.4k
Laura Asnaghi United States 20 924 1.1× 218 0.8× 225 0.9× 142 1.0× 230 1.9× 38 1.4k
Vittoria Matafora Italy 21 879 1.1× 238 0.8× 237 1.0× 135 1.0× 151 1.2× 40 1.3k
Ho Lam Tang United States 13 644 0.8× 306 1.1× 117 0.5× 169 1.2× 128 1.0× 18 1.0k
Steven Seaman United States 11 820 1.0× 124 0.4× 236 1.0× 165 1.2× 302 2.4× 18 1.3k
Yuwei Huang China 14 538 0.7× 205 0.7× 133 0.6× 122 0.9× 59 0.5× 37 927
Anna Tsapara Greece 14 849 1.1× 400 1.4× 155 0.6× 110 0.8× 109 0.9× 20 1.2k
Antonina Joanna Mazur Poland 18 473 0.6× 303 1.1× 82 0.3× 85 0.6× 169 1.4× 49 1.0k
Linda Julian United Kingdom 8 592 0.7× 174 0.6× 137 0.6× 198 1.4× 152 1.2× 15 970
Yi Jin United States 21 1.2k 1.5× 162 0.6× 206 0.9× 140 1.0× 266 2.1× 40 1.8k

Countries citing papers authored by Qiyu Feng

Since Specialization
Citations

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

Fields of papers citing papers by Qiyu Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qiyu Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Qiyu Feng. A scholar is included among the top collaborators of Qiyu Feng 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 Qiyu Feng. Qiyu Feng 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.
Jin, Peipei, Ju Zhang, Haowen Li, et al.. (2025). Development of a nano-targeting chimera for the degradation of membrane and cytoplasmic proteins. Acta Biomaterialia. 195. 509–521. 4 indexed citations
2.
Lv, Hongwei, Liang Wang, Guishuai Lv, et al.. (2025). Traditional medicine Bazi Bushen potentiates immunosurveillance of senescent liver cancer cells via cGAS-STING signaling activation in macrophages. Cancer Letters. 627. 217544–217544. 1 indexed citations
3.
Zhang, Wanying, Yong Jin, Mei Hou, et al.. (2024). Apigenin inhibits tumor angiogenesis by hindering microvesicle biogenesis via ARHGEF1. Cancer Letters. 596. 216961–216961. 7 indexed citations
4.
Ma, Yue, et al.. (2024). Cancer stem cell-immune cell crosstalk in the tumor microenvironment for liver cancer progression. Frontiers of Medicine. 18(3). 430–445. 2 indexed citations
5.
Lv, Hongwei, Xiaoyan Sun, Yue Ma, et al.. (2023). Inhibition of ACLY overcomes cancer immunotherapy resistance via polyunsaturated fatty acids peroxidation and cGAS-STING activation. Science Advances. 9(49). eadi2465–eadi2465. 86 indexed citations
6.
Lv, Guishuai, Wei Xiang, Yue Ma, et al.. (2023). Copper in hepatocellular carcinoma: A double-edged sword with therapeutic potentials. Cancer Letters. 571. 216348–216348. 31 indexed citations
7.
Peng, Hui, Mei Hou, Zixin Wu, et al.. (2022). Plasma exosomal miR-122 regulates the efficacy of metformin via AMPK in type 2 diabetes and hepatocellular carcinoma. Heliyon. 8(11). e11503–e11503. 7 indexed citations
8.
Feng, Qiyu, et al.. (2021). The Roles of Neutrophils in the Pathogenesis of Liver Diseases. Frontiers in Immunology. 12. 625472–625472. 59 indexed citations
9.
Wang, Jing, et al.. (2020). DaHuangWan targets EGF signaling to inhibit the proliferation of hepatoma cells. PLoS ONE. 15(4). e0231466–e0231466. 5 indexed citations
10.
Feng, Qiyu, Chengliang Zhang, David H. Lum, et al.. (2017). A class of extracellular vesicles from breast cancer cells activates VEGF receptors and tumour angiogenesis. Nature Communications. 8(1). 14450–14450. 212 indexed citations
11.
Feng, Qiyu, et al.. (2010). Phosphorylation of the Cool-1/β-Pix Protein Serves as a Regulatory Signal for the Migration and Invasive Activity of Src-transformed Cells. Journal of Biological Chemistry. 285(24). 18806–18816. 40 indexed citations
12.
Ly, Thi, Jianbin Wang, Peng Xu, et al.. (2009). Activation of the Ran GTPase Is Subject to Growth Factor Regulation and Can Give Rise to Cellular Transformation. Journal of Biological Chemistry. 285(8). 5815–5826. 51 indexed citations
13.
Antonyak, Marc A., Bo Li, Andrew D. Regan, et al.. (2009). Tissue Transglutaminase Is an Essential Participant in the Epidermal Growth Factor-stimulated Signaling Pathway Leading to Cancer Cell Migration and Invasion. Journal of Biological Chemistry. 284(27). 17914–17925. 69 indexed citations
14.
Baird, Daniel, Qiyu Feng, & Richard A. Cerione. (2006). Biochemical Characterization of the Cool (Cloned‐Out‐of‐Library)/Pix (Pak‐Interactive Exchange Factor) Proteins. Methods in enzymology on CD-ROM/Methods in enzymology. 406. 58–69. 4 indexed citations
15.
Lin, Qiong, Wannian Yang, Daniel Baird, Qiyu Feng, & Richard A. Cerione. (2006). Identification of a DOCK180-related Guanine Nucleotide Exchange Factor That Is Capable of Mediating a Positive Feedback Activation of Cdc42. Journal of Biological Chemistry. 281(46). 35253–35262. 50 indexed citations
16.
Feng, Qiyu, Dan Baird, Peng Xu, et al.. (2006). Cool-1 functions as an essential regulatory node for EGFreceptor- and Src-mediated cell growth. Nature Cell Biology. 8(9). 945–956. 87 indexed citations
17.
Baird, Dan, Qiyu Feng, & Richard A. Cerione. (2005). The Cool-2/α-Pix Protein Mediates a Cdc42-Rac Signaling Cascade. Current Biology. 15(1). 1–10. 141 indexed citations
18.
Baird, Dan, et al.. (2004). signal transduction Novel regulatory mechanisms for the Dbl family guanine nucleotide exchange factor Cool-2/alpha-Pix. The EMBO Journal. 3492–3504. 6 indexed citations
19.
Flanders, James A., et al.. (2003). The Cbl proteins are binding partners for the Cool/Pix family of p21‐activated kinase‐binding proteins. FEBS Letters. 550(1-3). 119–123. 32 indexed citations
20.
Feng, Qiyu, John G. Albeck, Richard A. Cerione, & Wannian Yang. (2002). Regulation of the Cool/Pix Proteins. Journal of Biological Chemistry. 277(7). 5644–5650. 90 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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