Feng Yan

2.1k total citations
54 papers, 1.5k citations indexed

About

Feng Yan is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Feng Yan has authored 54 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 34 papers in Cancer Research and 11 papers in Oncology. Recurrent topics in Feng Yan's work include Cancer-related molecular mechanisms research (17 papers), RNA modifications and cancer (16 papers) and RNA Research and Splicing (11 papers). Feng Yan is often cited by papers focused on Cancer-related molecular mechanisms research (17 papers), RNA modifications and cancer (16 papers) and RNA Research and Splicing (11 papers). Feng Yan collaborates with scholars based in China, United States and Spain. Feng Yan's co-authors include Huangxian Ju, Mingchen Zhu, Li Tang, Yijun Xu, Haifeng Dong, Lin Ding, Hanxu Ji, Yun Chen, Da Wei and Dongping Mo and has published in prestigious journals such as Biomaterials, Cancer Research and Langmuir.

In The Last Decade

Feng Yan

52 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Feng Yan China	23	1.2k	832	163	144	101	54	1.5k
Gongwei Wu China	15	814 0.7×	474 0.6×	209 1.3×	189 1.3×	112 1.1×	17	1.3k
Shiyan Wang China	20	1.4k 1.1×	633 0.8×	240 1.5×	183 1.3×	107 1.1×	42	1.8k
Wenjie Song China	21	1.1k 0.9×	867 1.0×	160 1.0×	79 0.5×	63 0.6×	44	1.5k
Junxing Huang China	26	1.0k 0.8×	711 0.9×	224 1.4×	160 1.1×	188 1.9×	82	1.7k
Hongmei Zheng China	21	712 0.6×	435 0.5×	261 1.6×	163 1.1×	136 1.3×	67	1.2k
Judong Luo China	18	751 0.6×	452 0.5×	123 0.8×	232 1.6×	125 1.2×	63	1.2k
Samuele Raccosta Italy	17	1.4k 1.1×	921 1.1×	130 0.8×	138 1.0×	46 0.5×	30	1.6k
Yan Hu China	19	976 0.8×	303 0.4×	161 1.0×	164 1.1×	105 1.0×	41	1.3k
Alessia Lo Dico Italy	14	964 0.8×	730 0.9×	96 0.6×	105 0.7×	64 0.6×	23	1.2k
Zhenyu Ji China	18	851 0.7×	600 0.7×	185 1.1×	237 1.6×	258 2.6×	58	1.4k

Countries citing papers authored by Feng Yan

Since Specialization

Citations

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

Fields of papers citing papers by Feng Yan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Yan

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

All Works

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20 of 20 papers shown

Yan, Fei, Yue Teng, Xiaoyou Li, et al.. (2024). Hypoxia promotes non-small cell lung cancer cell stemness, migration, and invasion via promoting glycolysis by lactylation of SOX9. Cancer Biology & Therapy. 25(1). 2304161–2304161. 50 indexed citations

Yan, Feng, et al.. (2024). SERPINC1, a new prognostic predictor of colon cancer, promote colon cancer progression through EMT. Cancer Reports. 7(6). e2079–e2079. 2 indexed citations

Yan, Feng, et al.. (2024). Brucella infection combined with Nocardia infection: A case report and literature review. Open Life Sciences. 19(1). 20220815–20220815. 1 indexed citations

Tang, Li, et al.. (2023). FOXO1-regulated lncRNA CYP1B1-AS1 suppresses breast cancer cell proliferation by inhibiting neddylation. Breast Cancer Research and Treatment. 202(2). 397–408. 7 indexed citations

Chen, Huanhuan, et al.. (2021). Super-enhancer-associated long noncoding RNA AC005592.2 promotes tumor progression by regulating OLFM4 in colorectal cancer. BMC Cancer. 21(1). 12 indexed citations

Yu, Hongliang, et al.. (2021). An Immune Cell-Based Signature Associating With EMT Phenotype Predicts Postoperative Overall Survival of ESCC. Frontiers in Oncology. 11. 636479–636479. 6 indexed citations

Tang, Li, Yu‐Li Chen, Huanhuan Chen, et al.. (2020). DCST1-AS1 Promotes TGF-β-Induced Epithelial–Mesenchymal Transition and Enhances Chemoresistance in Triple-Negative Breast Cancer Cells via ANXA1. Frontiers in Oncology. 10. 280–280. 44 indexed citations

Mo, Dongping, Pan Jiang, Yining Yang, et al.. (2019). A tRNA fragment, 5′-tiRNAVal, suppresses the Wnt/β-catenin signaling pathway by targeting FZD3 in breast cancer. Cancer Letters. 457. 60–73. 125 indexed citations

Yang, Yining, Xin‐En Huang, Senqing Chen, et al.. (2018). Resveratrol induced apoptosis in human gastric carcinoma SGC‐7901 cells via activation of mitochondrial pathway. Asia-Pacific Journal of Clinical Oncology. 14(5). e317–e324. 15 indexed citations

10.

Chen, Chun-Ye, Feng Yan, & Xing Wang. (2018). LncRNA ZEB1-AS1 expression in cancer prognosis: Review and meta-analysis. Clinica Chimica Acta. 484. 265–271. 23 indexed citations

11.

Deng, Rilin, Yan Wang, Feng Yan, et al.. (2016). High Expression of the Newly Found Long Noncoding RNA Z38 Promotes Cell Proliferation and Oncogenic Activity in Breast Cancer. Journal of Cancer. 7(5). 576–586. 34 indexed citations

12.

Tang, Li, Da Wei, & Feng Yan. (2016). MicroRNA-145 functions as a tumor suppressor by targeting matrix metalloproteinase 11 and Rab GTPase family 27a in triple-negative breast cancer. Cancer Gene Therapy. 23(8). 258–265. 38 indexed citations

13.

Yan, Feng, et al.. (2015). Analysis of UHRF1 expression in human ovarian cancer tissues and its regulation in cancer cell growth. Tumor Biology. 36(11). 8887–8893. 19 indexed citations

14.

Chen, Chun-Ye, Feng Yan, Jingyu Chen, & Hao Deng. (2015). Identification of a potent inhibitor targeting human lactate dehydrogenase A and its metabolic modulation for cancer cell line. Bioorganic & Medicinal Chemistry Letters. 26(1). 72–75. 16 indexed citations

15.

Liu, Ning, Hui Xiao, Ye Xiao, et al.. (2015). Transcription factor cyclic adenosine monophosphate responsive element binding protein negatively regulates tumor necrosis factor alpha-induced protein 1 expression. Molecular Medicine Reports. 12(5). 7763–7769. 4 indexed citations

16.

Pan, Hongqiu, Yongzhong Chen, Shaowen Tang, et al.. (2014). Genetic polymorphisms of IFNG and IFNGR1 in association with the risk of pulmonary tuberculosis. Gene. 543(1). 140–144. 31 indexed citations

17.

Zhao, Chengcheng, Feng Yan, Huazhang Wu, et al.. (2013). DNMT3A −448A>G polymorphism and the risk for hepatocellular carcinoma. Biomedical Reports. 1(4). 664–668. 12 indexed citations

18.

Geng, Yao, Yanfang Gao, Huangxian Ju, & Feng Yan. (2012). Diagnostic and prognostic value of plasma and tissue ubiquitin‐like, containing PHD and RING finger domains 1 in breast cancer patients. Cancer Science. 104(2). 194–199. 31 indexed citations

19.

Yan, Feng, et al.. (2011). Inhibition Effect of siRNA-Downregulated UHRF1 on Breast Cancer Growth. Cancer Biotherapy and Radiopharmaceuticals. 26(2). 183–189. 23 indexed citations

20.

Lin, Jiehua, Feng Yan, & Huangxian Ju. (2004). Noncompetitive Enzyme Immunoassay for α-Fetoprotein Using Flow Injection Chemiluminescence. Applied Biochemistry and Biotechnology. 117(2). 93–102. 16 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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