Fangzhou Song

482 total citations
31 papers, 356 citations indexed

About

Fangzhou Song is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Fangzhou Song has authored 31 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 5 papers in Oncology and 5 papers in Cell Biology. Recurrent topics in Fangzhou Song's work include RNA modifications and cancer (6 papers), Cancer-related gene regulation (5 papers) and DNA Repair Mechanisms (4 papers). Fangzhou Song is often cited by papers focused on RNA modifications and cancer (6 papers), Cancer-related gene regulation (5 papers) and DNA Repair Mechanisms (4 papers). Fangzhou Song collaborates with scholars based in China, Japan and United States. Fangzhou Song's co-authors include Youquan Bu, Faping Yi, Geli Liu, Changdong Wang, Xiangmei Wu, Junli Yan, Wei Liu, Lin Li, Hui Yang and Xiaobin Wu and has published in prestigious journals such as ACS Nano, Biochemical and Biophysical Research Communications and ACS Applied Materials & Interfaces.

In The Last Decade

Fangzhou Song

29 papers receiving 349 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fangzhou Song China 11 209 87 60 58 27 31 356
Anisha Kothari United States 6 262 1.3× 88 1.0× 49 0.8× 46 0.8× 16 0.6× 9 465
Donatella D’Eliseo Italy 9 200 1.0× 100 1.1× 83 1.4× 104 1.8× 17 0.6× 9 443
Chen Luo China 14 217 1.0× 103 1.2× 60 1.0× 33 0.6× 24 0.9× 33 466
Ki‐Hoon Song South Korea 10 249 1.2× 101 1.2× 71 1.2× 44 0.8× 21 0.8× 31 427
Sung Lyea Park South Korea 12 176 0.8× 50 0.6× 37 0.6× 73 1.3× 31 1.1× 20 351
Ayan Chanda Canada 10 273 1.3× 161 1.9× 70 1.2× 103 1.8× 23 0.9× 15 424
Carlos Ortuño‐Pineda Mexico 12 246 1.2× 123 1.4× 54 0.9× 103 1.8× 23 0.9× 27 448
Ge Lou China 11 260 1.2× 63 0.7× 64 1.1× 81 1.4× 16 0.6× 13 373
Jieya Liu China 6 202 1.0× 64 0.7× 35 0.6× 46 0.8× 30 1.1× 7 319

Countries citing papers authored by Fangzhou Song

Since Specialization
Citations

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

Fields of papers citing papers by Fangzhou Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fangzhou Song

This figure shows the co-authorship network connecting the top 25 collaborators of Fangzhou Song. A scholar is included among the top collaborators of Fangzhou Song 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 Fangzhou Song. Fangzhou Song 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
2.
Rashid, Farooq, et al.. (2025). Analysis of the bonding affinities between human PSGL-1 and Vpu derived from the different HIV-1 groups – in silico insights. Journal of Biomolecular Structure and Dynamics. 1–11.
3.
Jiang, Xue, et al.. (2024). Long non-coding RNA FAM87A is associated with overall survival and promotes cell migration and invasion in gastric cancer. Frontiers in Oncology. 14. 1448502–1448502. 1 indexed citations
4.
Li, Mengxue, Yongqin Wang, Xiangmei Wu, et al.. (2024). KIAA0753 enhances osteoblast differentiation suppressed by diabetes. Journal of Cellular and Molecular Medicine. 28(17). e70035–e70035. 1 indexed citations
5.
Tang, Yufeng, Xiaoqin Yuan, Jinfeng Duan, et al.. (2021). White Matter Characteristics of Cognitive Impairment in Tap-Test Positive Idiopathic Normal Pressure Hydrocephalus: A Diffusion Tensor Tract-Based Spatial Study. Frontiers in Neuroscience. 15. 774638–774638. 3 indexed citations
6.
Guo, Bin, et al.. (2019). An Enzyme-Free “ON-OFF” Electrochemiluminescence Biosensor for Ultrasensitive Detection of PML/RARα based on Target-Switched DNA Nanotweezer. ACS Applied Materials & Interfaces. 11(4). 3715–3721. 28 indexed citations
7.
Liu, Wei, Lin Li, Xiaobin Wu, et al.. (2017). CCR4 mediated chemotaxis of regulatory T cells suppress the activation of T cells and NK cells via TGF-β pathway in human non-small cell lung cancer. Biochemical and Biophysical Research Communications. 488(1). 196–203. 49 indexed citations
8.
Wang, Sen, Ying Zhang, Yi Li, et al.. (2017). The PRR11-SKA2 Bidirectional Transcription Unit Is Negatively Regulated by p53 through NF-Y in Lung Cancer Cells. International Journal of Molecular Sciences. 18(3). 534–534. 25 indexed citations
9.
Zhang, Lian, Yunlong Lei, Ying Zhang, et al.. (2017). Silencing of PRR11 suppresses cell proliferation and induces autophagy in NSCLC cells. Genes & Diseases. 5(2). 158–166. 23 indexed citations
10.
Ao, Lei, Zhao Gao, Feng Wang, & Fangzhou Song. (2016). Supramolecular amphiphile derived from non-covalent alkynylplatinum(II) terpyridine molecular tweezer/pyrene complexation. Tetrahedron Letters. 57(41). 4549–4555. 3 indexed citations
11.
Gao, Yue, Jiayan Wu, Zeng Fan, et al.. (2015). ALEX1 Regulates Proliferation and Apoptosis in Breast Cancer Cells. Asian Pacific Journal of Cancer Prevention. 16(8). 3293–3299. 9 indexed citations
12.
Fan, Zeng, Jiayan Wu, Yue Gao, et al.. (2015). ALEX1 may be a novel biomarker for human cervical squamous cell carcinoma.. PubMed. 8(8). 9434–9. 5 indexed citations
13.
Wu, Xiangmei, Xing Liu, Qing-fang Jiao, et al.. (2014). Cytotoxic T Lymphocytes Elicited by Dendritic Cell-Targeted Delivery of Human Papillomavirus Type-16 E6/E7 Fusion Gene Exert Lethal Effects on CaSki Cells. Asian Pacific Journal of Cancer Prevention. 15(6). 2447–2451. 7 indexed citations
14.
Zhu, Huifang, Fengjin Guo, Wenjun Zhao, et al.. (2012). ATF4 and IRE1α inhibit DNA repair protein DNA-dependent protein kinase 1 induced by heat shock. Molecular and Cellular Biochemistry. 371(1-2). 225–232. 9 indexed citations
15.
Lan, Huan, Jiang Zhu, Qing Ai, et al.. (2010). Rapid functional screening of effective siRNAs against Plk1 and its growth inhibitory effects in laryngeal carcinoma cells. BMB Reports. 43(12). 818–823. 5 indexed citations
16.
Wei, Lili, Zhongtang Wang, Tao Cui, et al.. (2008). Proteomic analysis of cervical cancer cells treated with adenovirus-mediated MDA-7. Cancer Biology & Therapy. 7(4). 510–516. 13 indexed citations
17.
Guo, Fengjin, Fangzhou Song, Jing Zhang, Jing Li, & Yong Tang. (2007). Study of Transcription Activity of X-Box Binding Protein 1 Gene in Human Different Cell Lines. Journal of genetics and genomics. 34(9). 790–799. 1 indexed citations
18.
Bu, Youquan, Yusuke Suenaga, Sayaka Ono, et al.. (2007). Sp1‐mediated transcriptional regulation of NFBD1/MDC1 plays a critical role in DNA damage response pathway. Genes to Cells. 13(1). 53–66. 17 indexed citations
19.
Chang, Pingan, et al.. (2007). Molecular cloning and expression analysis of cDNA ends of chicken neuropathy target esterase. Chemico-Biological Interactions. 172(1). 54–62. 7 indexed citations
20.
Guo, Fengjing, et al.. (2005). Screening of promoter DNA--binding protein of iNOS gene by phage display technique from human liver cDNA library. Jiefangjun yixue zazhi. 30(4). 290–292. 1 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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