Yiwei Chu

10.2k total citations · 1 hit paper
182 papers, 7.7k citations indexed

About

Yiwei Chu is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Yiwei Chu has authored 182 papers receiving a total of 7.7k indexed citations (citations by other indexed papers that have themselves been cited), including 122 papers in Immunology, 60 papers in Molecular Biology and 52 papers in Oncology. Recurrent topics in Yiwei Chu's work include Immune Cell Function and Interaction (55 papers), Immunotherapy and Immune Responses (45 papers) and T-cell and B-cell Immunology (35 papers). Yiwei Chu is often cited by papers focused on Immune Cell Function and Interaction (55 papers), Immunotherapy and Immune Responses (45 papers) and T-cell and B-cell Immunology (35 papers). Yiwei Chu collaborates with scholars based in China, United States and South Korea. Yiwei Chu's co-authors include Feifei Luo, Sidong Xiong, Luman Wang, Ronghua Liu, Shudao Xiong, Xue Yang, Yijie Zheng, Ronghua Liu, Rui He and Ji Yang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Yiwei Chu

178 papers receiving 7.6k citations

Hit Papers

FAP Promotes Immunosuppre... 2016 2026 2019 2022 2016 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Yiwei Chu 3.6k 2.9k 2.4k 1.3k 641 182 7.7k
Dimitrios Mougiakakos 3.0k 0.8× 2.6k 0.9× 2.6k 1.1× 920 0.7× 331 0.5× 144 7.0k
Richard Moriggl 3.5k 1.0× 3.9k 1.3× 4.4k 1.8× 1.4k 1.1× 505 0.8× 176 10.2k
Xin Hong 2.0k 0.6× 2.6k 0.9× 1.9k 0.8× 942 0.7× 296 0.5× 142 6.2k
Jan Van den Bossche 4.8k 1.3× 2.7k 0.9× 1.4k 0.6× 944 0.7× 856 1.3× 90 7.7k
Roberto Benelli 1.7k 0.5× 2.6k 0.9× 2.0k 0.8× 1.1k 0.8× 443 0.7× 123 6.7k
Daniel W. McVicar 7.2k 2.0× 2.6k 0.9× 2.8k 1.1× 984 0.8× 1.1k 1.7× 145 10.7k
Veronika Sexl 4.4k 1.2× 3.3k 1.1× 3.6k 1.5× 1.1k 0.8× 400 0.6× 183 9.5k
Ruoning Wang 3.9k 1.1× 3.6k 1.2× 1.4k 0.6× 1.6k 1.2× 758 1.2× 70 7.8k
Ronald Herbst 2.8k 0.8× 2.4k 0.8× 2.0k 0.8× 508 0.4× 375 0.6× 130 6.5k
Chunhong Ma 2.9k 0.8× 2.7k 0.9× 1.4k 0.6× 930 0.7× 1.1k 1.8× 193 6.7k

Countries citing papers authored by Yiwei Chu

Since Specialization
Citations

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

Fields of papers citing papers by Yiwei Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yiwei Chu

This figure shows the co-authorship network connecting the top 25 collaborators of Yiwei Chu. A scholar is included among the top collaborators of Yiwei Chu 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 Yiwei Chu. Yiwei Chu 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.
Nan, Ke, Ziwen Zhong, Ying Yue, et al.. (2025). Fasting-mimicking diet-enriched Bifidobacterium pseudolongum suppresses colorectal cancer by inducing memory CD8 + T cells. Gut. 74(5). 775–786. 11 indexed citations
2.
Shi, Hui, Rong Gao, Wei Zhang, et al.. (2025). Liver-specific paraoxonase-1 alleviates regulatory T cell-driven immunosuppression via metabolic reprogramming in hepatocellular carcinoma. Nature Communications. 16(1). 11034–11034.
3.
Jin, Xi, Yun‐Song Yang, Li Chen, et al.. (2025). Interferon-induced senescent CD8 + T cells reduce anti-PD1 immunotherapy efficacy in early triple-negative breast cancer. Science Translational Medicine. 17(815). eadj7808–eadj7808. 2 indexed citations
5.
Wang, Wenjun, Xiaoqin Cheng, Yue Cao, et al.. (2024). M2 macrophages promote IL-10+B-cell production and alleviate asthma in mice. PubMed. 5(1). ltaf007–ltaf007. 1 indexed citations
6.
Chen, Peng, et al.. (2024). Tumour-reactive plasma cells in antitumour immunity: current insights and future prospects. PubMed. 4(1). ltae003–ltae003. 3 indexed citations
8.
Fu, Ying, Qi Wang, Hushan Zhang, et al.. (2023). Oxidative stress-initiated one-carbon metabolism drives the generation of interleukin-10-producing B cells to resolve pneumonia. Cellular and Molecular Immunology. 21(1). 19–32. 4 indexed citations
9.
Lv, Bin, Yida Pan, Ping Chen, et al.. (2022). RNF4 silencing induces cell growth arrest and DNA damage by promoting nuclear targeting of p62 in hepatocellular carcinoma. Oncogene. 41(16). 2275–2286. 7 indexed citations
10.
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
11.
Zhang, Yihua, Manman Li, Yu Wang, et al.. (2020). β-arrestin 2 as an activator of cGAS-STING signaling and target of viral immune evasion. Nature Communications. 11(1). 6000–6000. 39 indexed citations
12.
Li, Weiwei, Luman Wang, Chunying Shen, et al.. (2019). <p>Radiation therapy-induced reactive oxygen species specifically eliminates CD19<sup>+</sup> IgA<sup>+</sup> B cells in nasopharyngeal carcinoma</p>. Cancer Management and Research. Volume 11. 6299–6309. 7 indexed citations
13.
Zhang, Yufei, Libin Wu, Zhen Li, et al.. (2018). Glycocalyx-Mimicking Nanoparticles Improve Anti-PD-L1 Cancer Immunotherapy through Reversion of Tumor-Associated Macrophages. Biomacromolecules. 19(6). 2098–2108. 78 indexed citations
14.
Zhang, Cuiping, Ke Wang, Lujie Yang, et al.. (2018). Lipid metabolism in inflammation-related diseases. The Analyst. 143(19). 4526–4536. 140 indexed citations
15.
Han, Han, Zihui Tang, Qian Yang, et al.. (2017). Acyloxyacyl hydrolase promotes the resolution of lipopolysaccharide-induced acute lung injury. PLoS Pathogens. 13(6). e1006436–e1006436. 45 indexed citations
16.
Yang, Xuguang, Yuli Lin, Yongyong Shi, et al.. (2016). FAP Promotes Immunosuppression by Cancer-Associated Fibroblasts in the Tumor Microenvironment via STAT3–CCL2 Signaling. Cancer Research. 76(14). 4124–4135. 563 indexed citations breakdown →
17.
Liu, Ronghua, Jie Gu, Pei Jiang, et al.. (2014). DNMT1–MicroRNA126 Epigenetic Circuit Contributes to Esophageal Squamous Cell Carcinoma Growth via ADAM9–EGFR–AKT Signaling. Clinical Cancer Research. 21(4). 854–863. 95 indexed citations
18.
Liu, Guangwei, Yujing Bi, Bo Shen, et al.. (2013). SIRT1 Limits the Function and Fate of Myeloid-Derived Suppressor Cells in Tumors by Orchestrating HIF-1 α –Dependent Glycolysis. Cancer Research. 74(3). 727–737. 167 indexed citations
19.
Luo, Zhongguang, Guangyang Yu, Hyuk Woo Lee, et al.. (2012). The Nedd8-Activating Enzyme Inhibitor MLN4924 Induces Autophagy and Apoptosis to Suppress Liver Cancer Cell Growth. Cancer Research. 72(13). 3360–3371. 202 indexed citations
20.
Qiao, Bin, et al.. (2005). Induction of systemic lupus erythematosus-like syndrome in syngeneic mice by immunization with activated lymphocyte-derived DNA. Lara D. Veeken. 44(9). 1108–1114. 50 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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