Yuedi Wang

798 total citations
10 papers, 573 citations indexed

About

Yuedi Wang is a scholar working on Oncology, Immunology and Genetics. According to data from OpenAlex, Yuedi Wang has authored 10 papers receiving a total of 573 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 4 papers in Immunology and 3 papers in Genetics. Recurrent topics in Yuedi Wang's work include CAR-T cell therapy research (5 papers), Virus-based gene therapy research (3 papers) and Immune cells in cancer (3 papers). Yuedi Wang is often cited by papers focused on CAR-T cell therapy research (5 papers), Virus-based gene therapy research (3 papers) and Immune cells in cancer (3 papers). Yuedi Wang collaborates with scholars based in China and Belgium. Yuedi Wang's co-authors include Yiwei Chu, Feifei Luo, Jiao Yang, Jiawen Qian, Ronghua Liu, Chujun Zhao, Bo Wang, Junying Xu, Chen Wang and Yuting Deng and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Cancer Research and International Journal of Cancer.

In The Last Decade

Yuedi Wang

10 papers receiving 568 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yuedi Wang China	8	300	280	196	91	83	10	573
Valeria Mollica Poeta Italy	6	391 1.3×	395 1.4×	243 1.2×	78 0.9×	84 1.0×	7	755
Alessio Ugolini Italy	12	311 1.0×	220 0.8×	168 0.9×	91 1.0×	114 1.4×	17	583
Irina Fernandez United States	9	245 0.8×	194 0.7×	180 0.9×	101 1.1×	47 0.6×	9	478
Selena Lorrey United States	9	320 1.1×	373 1.3×	230 1.2×	159 1.7×	62 0.7×	17	718
John E. Morales United States	13	153 0.5×	192 0.7×	334 1.7×	110 1.2×	71 0.9×	19	692
Caijun Zha China	10	243 0.8×	96 0.3×	290 1.5×	138 1.5×	133 1.6×	11	595
Amy Saur Conway United States	6	173 0.6×	267 1.0×	252 1.3×	198 2.2×	51 0.6×	8	584
Douglas Marvel United States	3	660 2.2×	412 1.5×	198 1.0×	34 0.4×	65 0.8×	6	836
Qitai Zhao China	13	334 1.1×	310 1.1×	249 1.3×	63 0.7×	152 1.8×	31	650
Irina V. Balyasnikova United States	6	422 1.4×	401 1.4×	172 0.9×	308 3.4×	69 0.8×	7	767

Countries citing papers authored by Yuedi Wang

Since Specialization

Citations

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

Fields of papers citing papers by Yuedi Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuedi Wang

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

All Works

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10 of 10 papers shown

Wang, Yuedi, Bo Wang, Gils Roex, et al.. (2022). Chimeric antigen receptor clustering via cysteines enhances T-cell efficacy against tumor. Cancer Immunology Immunotherapy. 71(11). 2801–2814. 12 indexed citations

Zheng, Wanwei, Huan Song, Zhongguang Luo, et al.. (2021). Acetylcholine ameliorates colitis by promoting IL-10 secretion of monocytic myeloid-derived suppressor cells through the nAChR/ERK pathway. Proceedings of the National Academy of Sciences. 118(11). 64 indexed citations

Wang, Yuedi, et al.. (2021). Optimization of T Cell Redirecting Strategies: Obtaining Inspirations From Natural Process of T Cell Activation. Frontiers in Immunology. 12. 664329–664329. 5 indexed citations

Deng, Yuting, Jiao Yang, Jiawen Qian, et al.. (2019). TLR1/TLR2 signaling blocks the suppression of monocytic myeloid-derived suppressor cell by promoting its differentiation into M1-type macrophage. Molecular Immunology. 112. 266–273. 39 indexed citations

Luo, Feifei, Yuedi Wang, Jie Liu, & Yiwei Chu. (2019). Abstract 2328: BiTE-T cell: A novel design for solid tumor. Cancer Research. 79(13_Supplement). 2328–2328. 1 indexed citations

Roex, Gils, Yuedi Wang, Diana Campillo-Davó, et al.. (2019). Chimeric Antigen Receptor-Modified T Cell Therapy in Multiple Myeloma: Beyond B Cell Maturation Antigen. Frontiers in Immunology. 10. 67 indexed citations

Qian, Jiawen, Chen Wang, Bo Wang, et al.. (2018). The IFN-γ/PD-L1 axis between T cells and tumor microenvironment: hints for glioma anti-PD-1/PD-L1 therapy. Journal of Neuroinflammation. 15(1). 290–290. 207 indexed citations

Qian, Jiawen, Feifei Luo, Jiao Yang, et al.. (2018). TLR2 Promotes Glioma Immune Evasion by Downregulating MHC Class II Molecules in Microglia. Cancer Immunology Research. 6(10). 1220–1233. 83 indexed citations

Wang, Yuedi, Feifei Luo, Jiao Yang, Chujun Zhao, & Yiwei Chu. (2017). New Chimeric Antigen Receptor Design for Solid Tumors. Frontiers in Immunology. 8. 1934–1934. 24 indexed citations

10.

Yang, Jiao, Ronghua Liu, Yuting Deng, et al.. (2017). MiR‐15a/16 deficiency enhances anti‐tumor immunity of glioma‐infiltrating CD8+ T cells through targeting mTOR. International Journal of Cancer. 141(10). 2082–2092. 71 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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