Ru Feng

845 total citations
19 papers, 543 citations indexed

About

Ru Feng is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Ru Feng has authored 19 papers receiving a total of 543 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 4 papers in Immunology and 4 papers in Cancer Research. Recurrent topics in Ru Feng's work include RNA modifications and cancer (3 papers), Circular RNAs in diseases (3 papers) and Cancer-related molecular mechanisms research (3 papers). Ru Feng is often cited by papers focused on RNA modifications and cancer (3 papers), Circular RNAs in diseases (3 papers) and Cancer-related molecular mechanisms research (3 papers). Ru Feng collaborates with scholars based in China, United States and South Korea. Ru Feng's co-authors include Ya‐Ping Tang, Masood Ur Rehman Kayani, Yao Shen, Bo Zhang, Yao He, Yu Kan, Lei Chen, Lei Chen, Caixia Gao and Xinxin Zeng and has published in prestigious journals such as Blood, The Journal of Immunology and Environmental Pollution.

In The Last Decade

Ru Feng

19 papers receiving 539 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ru Feng China 11 214 162 120 67 61 19 543
Mei Qiang China 21 482 2.3× 206 1.3× 69 0.6× 87 1.3× 55 0.9× 32 884
Pia Lindström United States 10 263 1.2× 339 2.1× 57 0.5× 60 0.9× 14 0.2× 11 907
Angelina Rodríguez Mexico 10 265 1.2× 147 0.9× 35 0.3× 50 0.7× 36 0.6× 31 619
Cindy Lin United States 12 520 2.4× 131 0.8× 143 1.2× 65 1.0× 24 0.4× 19 919
Taiji Asami Japan 17 511 2.4× 346 2.1× 75 0.6× 19 0.3× 19 0.3× 51 982
Xia Meng China 13 275 1.3× 103 0.6× 46 0.4× 16 0.2× 10 0.2× 28 555
Janaína Sena de Souza Brazil 12 167 0.8× 41 0.3× 33 0.3× 23 0.3× 33 0.5× 41 498
Kazimierz Kochman Poland 15 149 0.7× 158 1.0× 26 0.2× 21 0.3× 12 0.2× 61 651
C. S. Sheela Rani United States 21 520 2.4× 164 1.0× 45 0.4× 39 0.6× 32 0.5× 49 1.2k
Peng Yin China 20 455 2.1× 233 1.4× 30 0.3× 17 0.3× 22 0.4× 54 976

Countries citing papers authored by Ru Feng

Since Specialization
Citations

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

Fields of papers citing papers by Ru Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ru Feng

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

All Works

19 of 19 papers shown
1.
Zhang, Zaifeng, Lili Zhang, Ru Feng, et al.. (2024). Comprehensive analysis of m6A methylome alterations after azacytidine plus venetoclax treatment for acute myeloid leukemia by nanopore sequencing. Computational and Structural Biotechnology Journal. 23. 1144–1153. 3 indexed citations
2.
Guo, Yue Leon, Zaifeng Zhang, Chang Li, et al.. (2024). mRNA m5C Alteration in Azacitidine Demethylation Treatment of Acute Myeloid Leukemia. Molecular Carcinogenesis. 64(3). 502–512. 3 indexed citations
3.
Feng, Ru, et al.. (2024). Renal Health Through Medicine–Food Homology: A Comprehensive Review of Botanical Micronutrients and Their Mechanisms. Nutrients. 16(20). 3530–3530. 4 indexed citations
4.
Li, Xue, Ru Feng, Xin Zhou, et al.. (2023). Simultaneous profiling of host expression and microbial abundance by spatial metatranscriptome sequencing. Genome Research. 33(3). 401–411. 11 indexed citations
5.
Feng, Ru, Mingnan Zhang, Xiaoqing Xie, et al.. (2022). Subgenomic RNA profiling suggests novel mechanism in coronavirus gene regulation and host adaption. Life Science Alliance. 5(8). e202101347–e202101347. 3 indexed citations
6.
Feng, Ru, Tianyu Zhang, Masood Ur Rehman Kayani, et al.. (2022). Patients with Primary and Secondary Bile Duct Stones Harbor Distinct Biliary Microbial Composition and Metabolic Potential. Frontiers in Cellular and Infection Microbiology. 12. 881489–881489. 12 indexed citations
7.
Kayani, Masood Ur Rehman, Ru Feng, Yu Kan, et al.. (2022). Genome-Resolved Characterization of Structure and Potential Functions of the Zebrafish Stool Microbiome. Frontiers in Cellular and Infection Microbiology. 12. 910766–910766. 5 indexed citations
8.
Kayani, Masood Ur Rehman, Yu Kan, Yao Shen, et al.. (2021). Environmental concentrations of antibiotics alter the zebrafish gut microbiome structure and potential functions. Environmental Pollution. 278. 116760–116760. 68 indexed citations
9.
Xia, Weiping, Yao He, Yu Gan, et al.. (2021). Long Non-coding RNA: An Emerging Contributor and Potential Therapeutic Target in Renal Fibrosis. Frontiers in Genetics. 12. 682904–682904. 20 indexed citations
10.
Xia, Weiping, Xiang Chen, Ru Feng, et al.. (2021). Knockdown of lncRNA XIST inhibited apoptosis and inflammation in renal fibrosis via microRNA-19b-mediated downregulation of SOX6. Molecular Immunology. 139. 87–96. 23 indexed citations
11.
Kayani, Masood Ur Rehman, Wanqiu Huang, Ru Feng, & Lei Chen. (2021). Genome-resolved metagenomics using environmental and clinical samples. Briefings in Bioinformatics. 22(5). 25 indexed citations
12.
Cheng, Hao, Dan Li, Xiaoxia Wang, et al.. (2020). Cutting Edge: Inhibition of Glycogen Synthase Kinase 3 Activity Induces the Generation and Enhanced Suppressive Function of Human IL-10+ FOXP3+–Induced Regulatory T Cells. The Journal of Immunology. 205(6). 1497–1502. 28 indexed citations
13.
Wang, Zhaohui, Bo Zhang, Yao He, et al.. (2019). The long noncoding RNA myocardial infarction-associated transcript modulates the epithelial-mesenchymal transition in renal interstitial fibrosis. Life Sciences. 241. 117187–117187. 22 indexed citations
14.
Li, Li, et al.. (2018). NANOGP8 expression regulates gastric cancer cell progression by transactivating DBC1 in gastric cancer MKN‑45 cells. Oncology Letters. 17(1). 555–563. 10 indexed citations
15.
16.
Zeng, Hong, Yongqiang Wei, Fen Huang, et al.. (2015). CD163+ Tumor Associated Macrophages Predict Inferior Outcome in Patients with Diffuse Large B-Cell Lymphoma Treated with R-CHOP. Blood. 126(23). 5023–5023. 1 indexed citations
17.
Feng, Ru. (2014). FINITE ELEMENT SIMULATION OF THE EFFECT OF STRESS RELAXATION ON STRAIN-INDUCED MARTENSITIC TRANSFORMATION. Acta Metallurgica Sinica. 2 indexed citations
18.
Zhang, Xiaohui, Ru Feng, Meng Lv, et al.. (2013). Arsenic trioxide induces apoptosis in B-cell chronic lymphocytic leukemic cells through down-regulation of survivin via the p53-dependent signaling pathway. Leukemia Research. 37(12). 1719–1725. 10 indexed citations
19.
Tang, Ya‐Ping, et al.. (2001). Differential effects of enrichment on learning and memory function in NR2B transgenic mice. Neuropharmacology. 41(6). 779–790. 264 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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