Feifei Song

919 total citations
28 papers, 568 citations indexed

About

Feifei Song is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Feifei Song has authored 28 papers receiving a total of 568 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 10 papers in Oncology and 8 papers in Immunology. Recurrent topics in Feifei Song's work include Cancer Immunotherapy and Biomarkers (8 papers), Nanoparticle-Based Drug Delivery (5 papers) and RNA modifications and cancer (4 papers). Feifei Song is often cited by papers focused on Cancer Immunotherapy and Biomarkers (8 papers), Nanoparticle-Based Drug Delivery (5 papers) and RNA modifications and cancer (4 papers). Feifei Song collaborates with scholars based in China, United States and Hong Kong. Feifei Song's co-authors include Qiqing Zhang, Yan Liu, Jia Tian, Mingmao Chen, Chun Liu, Christine H. Chung, I. Jane Cox, Jan Sunnegårdh, Frances Bu’Lock and Kathleen M. Trybus and has published in prestigious journals such as Journal of Clinical Oncology, Oncogene and Scientific Reports.

In The Last Decade

Feifei Song

27 papers receiving 563 citations

Peers

Feifei Song
Feifei Song
Citations per year, relative to Feifei Song Feifei Song (= 1×) peers Jingxiao Chen

Countries citing papers authored by Feifei Song

Since Specialization
Citations

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

Fields of papers citing papers by Feifei Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feifei Song

This figure shows the co-authorship network connecting the top 25 collaborators of Feifei Song. A scholar is included among the top collaborators of Feifei 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 Feifei Song. Feifei 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
1.
Song, Feifei & Xiaodong Cheng. (2025). CLO25-070: Effects and Mechanisms of CD16+/-NK Cells on Ovarian Malignant Tumor Cells Platinum-Based Drug Responsiveness in Tumor Microenvironment. Journal of the National Comprehensive Cancer Network. 23(3.5). 1 indexed citations
2.
Zhao, Wei, Zhenming Lu, Feifei Song, et al.. (2025). One-step electrolytic synthesis of nitrogen-doped carbon dots using graphite electrode in ionic liquid and their LED applications. Colloids and Surfaces A Physicochemical and Engineering Aspects. 712. 136459–136459. 1 indexed citations
3.
Lü, Ling, Yaohui Gao, Dengfeng Huang, et al.. (2023). Targeting integrin α5 in fibroblasts potentiates colorectal cancer response to PD-L1 blockade by affecting extracellular-matrix deposition. Journal for ImmunoTherapy of Cancer. 11(12). e007447–e007447. 17 indexed citations
4.
Chaudhary, Ritu, Robbert J.C. Slebos, Feifei Song, et al.. (2023). EGFR Inhibition by Cetuximab Modulates Hypoxia and IFN Response Genes in Head and Neck Squamous Cell Carcinoma. Cancer Research Communications. 3(5). 896–907. 8 indexed citations
5.
Xie, Mengyu, Ritu Chaudhary, Robbert J.C. Slebos, et al.. (2023). Immune landscape in molecular subtypes of human papillomavirus‐negative head and neck cancer. Molecular Carcinogenesis. 63(1). 120–135. 1 indexed citations
6.
Song, Feifei, et al.. (2022). Model-informed experimental design recommendations for distinguishing intrinsic and acquired targeted therapeutic resistance in head and neck cancer. npj Systems Biology and Applications. 8(1). 32–32. 11 indexed citations
7.
Wang, Xuefeng, Jameel Muzaffar, Kedar Kirtane, et al.. (2022). T cell repertoire in peripheral blood as a potential biomarker for predicting response to concurrent cetuximab and nivolumab in head and neck squamous cell carcinoma. Journal for ImmunoTherapy of Cancer. 10(6). e004512–e004512. 21 indexed citations
8.
Song, Feifei, Youhua Zhang, Qi Chen, et al.. (2022). Mast cells inhibit colorectal cancer development by inducing ER stress through secreting Cystatin C. Oncogene. 42(3). 209–223. 11 indexed citations
9.
Zhang, Youhua, Ruting Xie, Hailong Zhang, et al.. (2021). Integrin β7 Inhibits Colorectal Cancer Pathogenesis via Maintaining Antitumor Immunity. Cancer Immunology Research. 9(8). 967–980. 18 indexed citations
10.
Zhang, Haixian, Feifei Song, Caihong Dong, et al.. (2021). Co-delivery of nanoparticle and molecular drug by hollow mesoporous organosilica for tumor-activated and photothermal-augmented chemotherapy of breast cancer. Journal of Nanobiotechnology. 19(1). 290–290. 33 indexed citations
11.
Chen, Lifeng, et al.. (2021). An Analysis Regarding the Prognostic Significance of MAVS and Its Underlying Biological Mechanism in Ovarian Cancer. Frontiers in Cell and Developmental Biology. 9. 728061–728061. 4 indexed citations
12.
Li, Kui, et al.. (2021). Role of MRI in characterizing serous borderline ovarian tumor and its subtypes: Correlation of MRI features with clinicopathological characteristics. European Journal of Radiology. 147. 110112–110112. 3 indexed citations
13.
Song, Feifei, Qi Chen, Wei Rao, et al.. (2019). OVA66 promotes tumour angiogenesis and progression through enhancing autocrine VEGF-VEGFR2 signalling. EBioMedicine. 41. 156–166. 26 indexed citations
14.
Song, Feifei, Mei Feng, Yan Liu, et al.. (2018). pH-sensitive charge-conversional and NIR responsive bubble-generating liposomal system for synergetic thermo-chemotherapy. Colloids and Surfaces B Biointerfaces. 167. 104–114. 22 indexed citations
15.
Liu, Yuanyuan, et al.. (2017). NIR responsive liposomal system for rapid release of drugs in cancer therapy. International Journal of Nanomedicine. Volume 12. 4225–4239. 23 indexed citations
16.
Cao, Huấn, Yan Liu, Feifei Song, et al.. (2016). Sequential delivery of chlorhexidine acetate and bFGF from PLGA-glycol chitosan core-shell microspheres. Colloids and Surfaces B Biointerfaces. 151. 189–195. 32 indexed citations
17.
Song, Feifei, Chen Chen, Songqing Wu, et al.. (2016). Transcriptional profiling analysis of Spodoptera litura larvae challenged with Vip3Aa toxin and possible involvement of trypsin in the toxin activation. Scientific Reports. 6(1). 23861–23861. 36 indexed citations
18.
Song, Feifei. (2013). Dimension reduction method for multivariate time series based on common principal component. Kongzhi yu juece. 11 indexed citations
19.
Wang, Ying, Miao Guo, Lu Yu, et al.. (2012). Alpha-tocopheryl polyethylene glycol succinate-emulsified poly(lactic-co-glycolic acid) nanoparticles for reversal of multidrug resistancein vitro. Nanotechnology. 23(49). 495103–495103. 37 indexed citations
20.
Matsson, Hans, Jacqueline Eason, Carol S. Bookwalter, et al.. (2007). Alpha-cardiac actin mutations produce atrial septal defects. Human Molecular Genetics. 17(2). 256–265. 112 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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