Chenfeng Wang

749 total citations
25 papers, 387 citations indexed

About

Chenfeng Wang is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Chenfeng Wang has authored 25 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 7 papers in Cancer Research and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Chenfeng Wang's work include RNA modifications and cancer (6 papers), Renal cell carcinoma treatment (3 papers) and Epigenetics and DNA Methylation (3 papers). Chenfeng Wang is often cited by papers focused on RNA modifications and cancer (6 papers), Renal cell carcinoma treatment (3 papers) and Epigenetics and DNA Methylation (3 papers). Chenfeng Wang collaborates with scholars based in China, United States and Malaysia. Chenfeng Wang's co-authors include Yide Mei, Yang Yang, Decai Wang, Kailiang Zhao, Guang Zhang, Xianning Wu, Xiaoling Ma, Mian Wu, Jingxin Li and Ge Shan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, ACS Nano and Spine.

In The Last Decade

Chenfeng Wang

23 papers receiving 384 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chenfeng Wang China 13 259 144 70 58 41 25 387
Qishun Geng China 11 232 0.9× 108 0.8× 86 1.2× 55 0.9× 58 1.4× 28 382
Feilan Chen China 10 211 0.8× 114 0.8× 58 0.8× 40 0.7× 53 1.3× 25 410
Da-Li Tian China 11 310 1.2× 198 1.4× 128 1.8× 50 0.9× 25 0.6× 24 447
Rujun Mo China 13 282 1.1× 147 1.0× 115 1.6× 120 2.1× 67 1.6× 21 454
Guolin Tan China 8 343 1.3× 105 0.7× 93 1.3× 42 0.7× 39 1.0× 16 432
Hiroki Kasama Japan 10 192 0.7× 96 0.7× 76 1.1× 42 0.7× 32 0.8× 15 310
Jian Fan China 10 343 1.3× 112 0.8× 62 0.9× 23 0.4× 43 1.0× 26 475

Countries citing papers authored by Chenfeng Wang

Since Specialization
Citations

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

Fields of papers citing papers by Chenfeng Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chenfeng Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Chenfeng Wang. A scholar is included among the top collaborators of Chenfeng Wang 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 Chenfeng Wang. Chenfeng Wang 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.
Chen, Jianwen, Shuoyu Wang, Chenfeng Wang, et al.. (2025). Prediction model for postoperative acute kidney injury and chronic kidney disease in patients with renal cell carcinoma and venous tumor thrombus. World Journal of Urology. 43(1). 391–391.
2.
Feng, Liang, Yixin Zheng, Chenchen Zhao, et al.. (2025). Microalgae-Derived Extracellular Vesicles Synergize with Herbal Hydrogel for Energy Homeostasis in Osteoarthritis Treatment. ACS Nano. 19(8). 8040–8057. 17 indexed citations
3.
Tian, Shuo, Songliang Du, Chenfeng Wang, et al.. (2024). Inhibition of primary cilia-hedgehog signaling axis triggers autophagic cell death and suppresses malignant progression of VHL wild-type ccRCC. Cell Death and Disease. 15(10). 739–739. 1 indexed citations
4.
Chen, Weihao, Yundong Xuan, Hanfeng Wang, et al.. (2024). ATF4/NUPR1 axis promotes cancer cell survival and mediates immunosuppression in clear cell renal cell carcinoma. Discover Oncology. 15(1). 607–607. 1 indexed citations
5.
Huang, Qingbo, Xiaohui Ding, Chenfeng Wang, et al.. (2024). Virtual-reality robot-assisted inferior vena cava thrombectomy using virtual vascular endoscopy to identify inferior vena cava invasion. Asian journal of urology. 12(3). 375–384. 1 indexed citations
6.
Wang, Chenfeng, Yihe Hu, & Liang Feng. (2024). Text Mining and Drug Discovery Analysis: A Comprehensive Approach to Investigate Diabetes-Induced Osteoporosis. International Journal of Medical Sciences. 21(3). 464–473.
7.
Wang, Chenfeng, Lin Han, Fanqi Kong, et al.. (2023). Tofacitinib Promotes Functional Recovery after Spinal Cord Injury by Regulating Microglial Polarization via JAK/STAT Signaling Pathway. International Journal of Biological Sciences. 19(15). 4865–4882. 35 indexed citations
8.
Wang, Chenfeng, Hua Tong, Haibin Wang, et al.. (2022). Inhibition of IL1R1 or CASP4 attenuates spinal cord injury through ameliorating NLRP3 inflammasome-induced pyroptosis. Frontiers in Immunology. 13. 963582–963582. 12 indexed citations
9.
Wang, Chenfeng, et al.. (2022). Drug Discovery in Spinal Cord Injury With Ankylosing Spondylitis Identified by Text Mining and Biomedical Databases. Frontiers in Genetics. 13. 799970–799970. 1 indexed citations
10.
Wang, Chenfeng, et al.. (2022). Drug discovery in spinal cord injury-induced osteoporosis: a text mining-based study. Annals of Translational Medicine. 10(13). 733–733. 3 indexed citations
11.
Chen, Weihao, Hanfeng Wang, Yan Huang, et al.. (2022). GTSE1 promotes tumor growth and metastasis by attenuating of KLF4 expression in clear cell renal cell carcinoma. Laboratory Investigation. 102(9). 1011–1022. 15 indexed citations
12.
Wang, Chenfeng, Yan Huang, Xin Ma, Baojun Wang, & Xu Zhang. (2021). Overexpression of NEK2 is correlated with poor prognosis in human clear cell renal cell carcinoma. International Journal of Immunopathology and Pharmacology. 35. 3938536485–3938536485. 7 indexed citations
13.
Xu, Junnan, Xiubin Li, Chenfeng Wang, et al.. (2021). The semaphorin 4A–neuropilin 1 axis alleviates kidney ischemia reperfusion injury by promoting the stability and function of regulatory T cells. Kidney International. 100(6). 1268–1281. 14 indexed citations
14.
Li, Zheng, et al.. (2021). Disease-Specific Survival of AJCC 8th Stage II Gastric Cancer Patients After D2 Gastrectomy. Frontiers in Oncology. 11. 671474–671474. 4 indexed citations
15.
Li, Bingyan, Guang Zhang, Zhongyu Wang, et al.. (2021). c-Myc-activated USP2-AS1 suppresses senescence and promotes tumor progression via stabilization of E2F1 mRNA. Cell Death and Disease. 12(11). 1006–1006. 25 indexed citations
16.
Shen, Donglai, Yu Gao, Qingbo Huang, et al.. (2021). E2F1 promotes proliferation and metastasis of clear cell renal cell carcinoma via activation of SREBP1-dependent fatty acid biosynthesis. Cancer Letters. 514. 48–62. 38 indexed citations
17.
18.
Wang, Chenfeng, Yang Yang, Guang Zhang, et al.. (2019). Long noncoding RNA EMS connects c-Myc to cell cycle control and tumorigenesis. Proceedings of the National Academy of Sciences. 116(29). 14620–14629. 64 indexed citations
19.
Yang, Yang, Chenfeng Wang, Kailiang Zhao, et al.. (2018). TRMP, a p53-inducible long noncoding RNA, regulates G1/S cell cycle progression by modulating IRES-dependent p27 translation. Cell Death and Disease. 9(9). 886–886. 33 indexed citations
20.
Zhao, Kailiang, Yang Yang, Chenfeng Wang, et al.. (2018). Regulation of the Mdm2–p53 pathway by the ubiquitin E3 ligase MARCH 7. EMBO Reports. 19(2). 305–319. 57 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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