Yanfeng Wu

811 total citations
21 papers, 646 citations indexed

About

Yanfeng Wu is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Yanfeng Wu has authored 21 papers receiving a total of 646 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Immunology, 11 papers in Molecular Biology and 5 papers in Oncology. Recurrent topics in Yanfeng Wu's work include Immunotherapy and Immune Responses (11 papers), Immune Cell Function and Interaction (7 papers) and vaccines and immunoinformatics approaches (5 papers). Yanfeng Wu is often cited by papers focused on Immunotherapy and Immune Responses (11 papers), Immune Cell Function and Interaction (7 papers) and vaccines and immunoinformatics approaches (5 papers). Yanfeng Wu collaborates with scholars based in China, Australia and Italy. Yanfeng Wu's co-authors include Xuetao Cao, Tao Wan, Wenying Wang, Nan Li, Xiangyang Zhou, Feng Yang, Tao Wan, Xinyun Xu, Xiaoping Lv and Yanping Sun and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and Cancer Research.

In The Last Decade

Yanfeng Wu

21 papers receiving 635 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yanfeng Wu China 11 384 272 196 65 47 21 646
A. Nazmul H. Khan United States 14 451 1.2× 406 1.5× 251 1.3× 54 0.8× 68 1.4× 19 844
Kristina Berg Lorvik Norway 11 495 1.3× 189 0.7× 355 1.8× 57 0.9× 52 1.1× 15 741
Romina E. Araya Argentina 8 341 0.9× 292 1.1× 269 1.4× 75 1.2× 81 1.7× 8 734
Federica Moschella Italy 15 506 1.3× 211 0.8× 393 2.0× 28 0.4× 42 0.9× 23 816
Nicolas Boucherit France 8 254 0.7× 140 0.5× 168 0.9× 38 0.6× 46 1.0× 14 531
Zvi G. Fridlender United States 14 508 1.3× 222 0.8× 367 1.9× 41 0.6× 59 1.3× 19 831
Mutita Junking Thailand 20 243 0.6× 224 0.8× 415 2.1× 76 1.2× 36 0.8× 51 831
Zhongcheng Zou United States 10 396 1.0× 362 1.3× 135 0.7× 35 0.5× 42 0.9× 19 768
Dickson Adah China 15 220 0.6× 288 1.1× 154 0.8× 43 0.7× 73 1.6× 22 714

Countries citing papers authored by Yanfeng Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yanfeng Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanfeng Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Yanfeng Wu. A scholar is included among the top collaborators of Yanfeng Wu 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 Yanfeng Wu. Yanfeng Wu 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.
Xu, Rongrong, et al.. (2024). Immunometabolism: signaling pathways, homeostasis, and therapeutic targets. SHILAP Revista de lepidopterología. 5(11). e789–e789. 12 indexed citations
2.
Wang, Wenying, et al.. (2022). Synergistic Therapeutic Effects of Low Dose Decitabine and NY-ESO-1 Specific TCR-T Cells for the Colorectal Cancer With Microsatellite Stability. Frontiers in Oncology. 12. 895103–895103. 10 indexed citations
3.
Li, Xing, et al.. (2022). Driving neoantigen-based cancer vaccines for personalized immunotherapy into clinic: A burdensome journey to promising land. Biomedicine & Pharmacotherapy. 153. 113464–113464. 9 indexed citations
4.
Wu, Jian, Junchu Zhang, Huabiao Chen, et al.. (2018). A modified HLA-A*0201-restricted CTL epitope from human oncoprotein (hPEBP4) induces more efficient antitumor responses. Cellular and Molecular Immunology. 15(8). 768–781. 13 indexed citations
5.
Wu, Yanfeng, Wenying Wang, Jia Xu, et al.. (2018). Low-dose decitabine enhances the effect of PD-1 blockade in colorectal cancer with microsatellite stability by re-modulating the tumor microenvironment. Cellular and Molecular Immunology. 16(4). 401–409. 118 indexed citations
6.
Zhang, Qian, Ting Yin, Rongrong Xu, et al.. (2017). Large-scale immuno-magnetic cell sorting of T cells based on a self-designed high-throughput system for potential clinical application. Nanoscale. 9(36). 13592–13599. 26 indexed citations
7.
Fang, Hongliang, Xinyun Xu, Xiaohui Huang, et al.. (2013). TLR4 is essential for dendritic cell activation and anti-tumor T-cell response enhancement by DAMPs released from chemically stressed cancer cells. Cellular and Molecular Immunology. 11(2). 150–159. 165 indexed citations
8.
Fu, Qiang, Yanfeng Wu, Yan Fang, et al.. (2011). Efficient induction of a Her2-specific anti-tumor response by dendritic cells pulsed with a Hsp70L1–Her2341–456 fusion protein. Cellular and Molecular Immunology. 8(5). 424–432. 13 indexed citations
9.
Zhang, Bihong, et al.. (2011). [Cytotoxic effect of IL-2/IL-15 stimulated cord blood derived NK cells on K562/Jurkat cell lines].. PubMed. 19(2). 358–62. 2 indexed citations
10.
Li, Yang, Ingo G.H. Schmidt‐Wolf, Yanfeng Wu, et al.. (2010). Optimized protocols for generation of cord blood-derived cytokine-induced killer/natural killer cells.. PubMed. 30(9). 3493–9. 31 indexed citations
11.
Li, Yang, Xiaoping Wang, Haixia Guo, et al.. (2010). [Distribution and interaction of bone marrow mesenchymal stem cells and cord blood CIK/NK cells infused via different ways at different time periods in NOD/SCID mice].. PubMed. 18(1). 140–5. 1 indexed citations
12.
Li, Yang, et al.. (2010). [Influence of FcγRIIIa polymorphism on rituximab-dependent NK cell-mediated cytotoxicity to Raji cells].. PubMed. 18(5). 1269–74. 3 indexed citations
13.
Li, Yang, Xu‐Chao Zhang, Yanfeng Wu, et al.. (2008). [The cytotoxicity of CIK/NK cells stimulated by K562-DC fusion vaccines in NOD/SCID mice model for human erythroleukemia].. PubMed. 29(1). 39–43. 6 indexed citations
14.
Wu, Yanfeng, et al.. (2006). [Ex vivo expansion of megakaryocytic progenitors from mobilized human peripheral blood].. PubMed. 14(4). 745–8. 1 indexed citations
15.
Wu, Yanfeng, Tao Wan, Xiangyang Zhou, et al.. (2005). Hsp70-Like Protein 1 Fusion Protein Enhances Induction of Carcinoembryonic Antigen–Specific CD8+ CTL Response by Dendritic Cell Vaccine. Cancer Research. 65(11). 4947–4954. 54 indexed citations
16.
Li, Yang, et al.. (2005). [The effect of tumor-dendritic cell fusion vaccines on the cytotoxicity of CIK/NK cells from cord blood].. PubMed. 26(5). 269–72. 2 indexed citations
17.
Wang, Baomei, Nan Li, Yanfeng Wu, et al.. (2004). HuBMSC-MCP, a novel member of mitochondrial carrier superfamily, enhances dendritic cell endocytosis. Biochemical and Biophysical Research Communications. 314(1). 292–300. 9 indexed citations
18.
Wang, Baomei, Huabiao Chen, Xiaodong Jiang, et al.. (2004). Identification of an HLA-A*0201–restricted CD8+ T-cell epitope SSp-1 of SARS-CoV spike protein. Blood. 104(1). 200–206. 74 indexed citations
19.
Li, Yang, et al.. (2004). [Expansion of CIK/NK cells from cord blood by using different combinations of stem cell factor, FLT3 ligand and interleukin 2, 7, 15 in vitro].. PubMed. 12(3). 350–4. 2 indexed citations
20.
Wan, Tao, Xiangyang Zhou, Guoyou Chen, et al.. (2003). Novel heat shock protein Hsp70L1 activates dendritic cells and acts as a Th1 polarizing adjuvant. Blood. 103(5). 1747–1754. 94 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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