Ye Feng

598 total citations
20 papers, 352 citations indexed

About

Ye Feng is a scholar working on Molecular Biology, Condensed Matter Physics and Biomedical Engineering. According to data from OpenAlex, Ye Feng has authored 20 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Condensed Matter Physics and 7 papers in Biomedical Engineering. Recurrent topics in Ye Feng's work include Micro and Nano Robotics (7 papers), Molecular Communication and Nanonetworks (4 papers) and MicroRNA in disease regulation (3 papers). Ye Feng is often cited by papers focused on Micro and Nano Robotics (7 papers), Molecular Communication and Nanonetworks (4 papers) and MicroRNA in disease regulation (3 papers). Ye Feng collaborates with scholars based in China, Netherlands and Sweden. Ye Feng's co-authors include Fei Peng, Daniela A. Wilson, Yingfeng Tu, Xiaoming Xie, Peng Liu, Lijuan Zhang, Lu Yang, Bo Chen, Xinhua Xie and Hailin Tang and has published in prestigious journals such as Advanced Materials, Nature Communications and Cell Metabolism.

In The Last Decade

Ye Feng

16 papers receiving 348 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ye Feng China	9	166	107	102	101	27	20	352
Xiqi Peng China	13	270 1.6×	84 0.8×	227 2.2×	58 0.6×	14 0.5×	28	432
Lihui Peng China	11	112 0.7×	76 0.7×	60 0.6×	10 0.1×	5 0.2×	25	353
Ahmet Cingöz Türkiye	11	190 1.1×	63 0.6×	45 0.4×	5 0.0×	14 0.5×	18	315
Joseph M. Labuz United States	7	146 0.9×	269 2.5×	56 0.5×	6 0.1×	10 0.4×	8	407
Samantha L. George United Kingdom	6	153 0.9×	62 0.6×	47 0.5×	6 0.1×	5 0.2×	7	319
Qiong Wei China	12	89 0.5×	149 1.4×	49 0.5×	5 0.0×	4 0.1×	19	320
Jennifer S. Liu United States	9	341 2.1×	164 1.5×	13 0.1×	8 0.1×	9 0.3×	11	739
Ninad Kumbhojkar United States	9	151 0.9×	134 1.3×	14 0.1×	14 0.1×	5 0.2×	14	377
Ruba Halaoui Canada	7	155 0.9×	85 0.8×	22 0.2×	6 0.1×	5 0.2×	8	328

Countries citing papers authored by Ye Feng

Since Specialization

Citations

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

Fields of papers citing papers by Ye Feng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ye Feng

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Feng, Ye, Suyi Liu, Wenjing Zhang, et al.. (2025). Light‐Driven Artificial Cell Micromotors for Degenerative Knee Osteoarthritis. Advanced Materials. 37(17). e2416349–e2416349. 5 indexed citations

Wang, Jie, Jianxiong Guo, Jiaqi Ma, et al.. (2025). The E3 ubiquitin ligase FBXL18 stabilizes BST2 to promote inflammation in RABV-infected astrocytes. Nature Communications. 16(1). 11324–11324.

Xu, Yancheng, et al.. (2025). Surveillance and Analysis of Animal Rabies — China, 2004–2024. China CDC Weekly. 7(39). 1235–1240.

Feng, Ye, Suyi Liu, Wenjing Zhang, et al.. (2025). Light‐Driven Artificial Cell Micromotors for Degenerative Knee Osteoarthritis (Adv. Mater. 17/2025). Advanced Materials. 37(17).

Zhang, Maolin, Ye Feng, Xiaomin Liu, et al.. (2024). Transcriptome analysis of salivary glands of rabies-virus-infected mice. Frontiers in Microbiology. 15. 1354936–1354936. 4 indexed citations

Zhang, Jing, Yu Wang, Wentao Zhang, et al.. (2024). Reactive oxygen species regulation by NCF1 governs ferroptosis susceptibility of Kupffer cells to MASH. Cell Metabolism. 36(8). 1745–1763.e6. 35 indexed citations

Liu, Suyi, Bin Chen, Ye Feng, et al.. (2023). Helical hydrogel micromotors for delivery of neural stem cells and restoration of neural connectivity. Chemical Engineering Journal. 479. 147745–147745. 13 indexed citations

Feng, Ye, Suyi Liu, Dongmei Fu, et al.. (2023). Water-powered Cu@MoS2 micromotor swarm for a collaborative oscillation of living cells. Matter. 6(11). 3956–3974. 6 indexed citations

Wang, Yuanyuan, Yong Ma, Pengbin Li, et al.. (2023). RBD class 1 and 2 antibody epitopes elicit around 70% neutralizing capacity against SARS-CoV-2 virus following boosting with inactivated virus vaccine. Vaccine. 41(52). 7641–7646.

10.

Feng, Ye, Zhaoqiang Zhang, Zhikun Li, et al.. (2023). BMAL1-TTK-H2Bub1 loop deficiency contributes to impaired BM-MSC-mediated bone formation in senile osteoporosis. Molecular Therapy — Nucleic Acids. 31. 568–585. 6 indexed citations

11.

Li, Huaan, Dongmei Fu, Ye Feng, et al.. (2023). Light-driven micromotor swarm induced in-situ polymerization and synergistic photothermal therapy. Chemical Engineering Journal. 468. 143393–143393. 28 indexed citations

12.

Feng, Ye, Lu Liu, Suyi Liu, et al.. (2023). Directed Neural Stem Cells Differentiation via Signal Communication with Ni–Zn Micromotors. Advanced Materials. 35(35). e2301736–e2301736. 25 indexed citations

13.

Jia, Lejiao, Dandan Zheng, Jingjing Ye, et al.. (2023). Smart and Generalizable Cytarabine Derivative-Triggered Nanoparticles for Synergistic Therapy of Relapsed/Refractory Acute Myeloid Leukemia. ACS Applied Materials & Interfaces. 15(23). 27624–27637. 1 indexed citations

14.

Feng, Ye, et al.. (2022). Micro‐Nano Motors with Taxis Behavior: Principles, Designs, and Biomedical Applications. Small. 18(15). e2106263–e2106263. 40 indexed citations

15.

Fu, Dongmei, et al.. (2022). Magnetically driven helical hydrogel micromotor for tumor DNA detection. Applied Materials Today. 27. 101456–101456. 20 indexed citations

16.

Hu, Yu, Senlin Yin, Li Wang, et al.. (2021). Autophagy inhibition enhances anti‐pituitary adenoma effect of tetrandrine. Phytotherapy Research. 35(7). 4007–4021. 8 indexed citations

17.

Yu, Wenhui, Keng Chen, Shan Wang, et al.. (2020). SNP-adjacent super enhancer network mediates enhanced osteogenic differentiation of MSCs in ankylosing spondylitis. Human Molecular Genetics. 30(3-4). 277–293. 13 indexed citations

18.

Chen, Huaizeng, Jia Liu, Hanzhi Wang, et al.. (2019). Inhibition of RNA-Binding Protein Musashi-1 Suppresses Malignant Properties and Reverses Paclitaxel Resistance in Ovarian Carcinoma. Journal of Cancer. 10(6). 1580–1592. 39 indexed citations

19.

Tang, Hailin, Peng Liu, Lu Yang, et al.. (2014). miR-185 Suppresses Tumor Proliferation by Directly Targeting E2F6 and DNMT1 and Indirectly Upregulating BRCA1 in Triple-Negative Breast Cancer. Molecular Cancer Therapeutics. 13(12). 3185–3197. 101 indexed citations

20.

Gao, Shuohui, Chao Liu, Jun Wei, & Ye Feng. (2013). Effect of c-Met inhibitor SU11274 on human colon cancer cell growth.. PubMed. 126(14). 2705–9. 8 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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