Haiming Wei

22.5k total citations · 4 hit papers
311 papers, 16.1k citations indexed

About

Haiming Wei is a scholar working on Immunology, Epidemiology and Molecular Biology. According to data from OpenAlex, Haiming Wei has authored 311 papers receiving a total of 16.1k indexed citations (citations by other indexed papers that have themselves been cited), including 212 papers in Immunology, 61 papers in Epidemiology and 57 papers in Molecular Biology. Recurrent topics in Haiming Wei's work include Immune Cell Function and Interaction (171 papers), T-cell and B-cell Immunology (68 papers) and Reproductive System and Pregnancy (39 papers). Haiming Wei is often cited by papers focused on Immune Cell Function and Interaction (171 papers), T-cell and B-cell Immunology (68 papers) and Reproductive System and Pregnancy (39 papers). Haiming Wei collaborates with scholars based in China, United States and Italy. Haiming Wei's co-authors include Zhigang Tian, Rui Sun, Binqing Fu, Xiaohu Zheng, Yonggang Zhou, Yongyan Chen, Xiaoling Xu, Xiaodong Zheng, Hui Peng and Zhongjun Dong and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Haiming Wei

304 papers receiving 15.8k citations

Hit Papers

Effective treatment of severe COVID-19 patients with toci... 2018 2026 2020 2023 2020 2020 2018 2023 500 1000 1.5k

Peers

Haiming Wei
Rui Sun China
Robert Yarchoan United States
Laurent Rénia Singapore
Georges E. Grau Australia
Kate Schroder Australia
Angus Dalgleish United Kingdom
Rui Sun China
Haiming Wei
Citations per year, relative to Haiming Wei Haiming Wei (= 1×) peers Rui Sun

Countries citing papers authored by Haiming Wei

Since Specialization
Citations

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

Fields of papers citing papers by Haiming Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haiming Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Haiming Wei. A scholar is included among the top collaborators of Haiming Wei 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 Haiming Wei. Haiming Wei 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.
Ding, Keshuo, et al.. (2025). CD49a+ NK cells promote esophageal cancer development by inducing MDSCs infiltration via GM-CSF. British Journal of Cancer. 133(3). 295–304.
2.
Wang, Shushu, et al.. (2024). Cytokine Storm Related to CD4+ T Cells in Influenza Virus-Associated Acute Necrotizing Encephalopathy. Immune Network. 24(2). e18–e18. 1 indexed citations
3.
Xue, Peng, Haimiao Xu, Hongping Tang, et al.. (2023). Improving the Accuracy and Efficiency of Abnormal Cervical Squamous Cell Detection With Cytologist-in-the-Loop Artificial Intelligence. Modern Pathology. 36(8). 100186–100186. 16 indexed citations
4.
Qian, Guojun, Wenxia Jiang, Hongwei Fang, et al.. (2023). B-cell-derived IL-10 promotes allergic sensitization in asthma regulated by Bcl-3. Cellular and Molecular Immunology. 20(11). 1313–1327. 15 indexed citations
5.
Zhu, Yazhen, Xiwen Liao, Yin Wu, & Haiming Wei. (2022). Protein Phosphatase 1 Regulatory Subunit 3: A Prognostic Biomarker in Stomach Adenocarcinoma. SHILAP Revista de lepidopterología.
6.
Zheng, Xiaohu, Yingchao Dou, Xianghui Du, et al.. (2021). Rapamycin Pretreatment Rescues the Bone Marrow AML Cell Elimination Capacity of CAR-T Cells. Clinical Cancer Research. 27(21). 6026–6038. 43 indexed citations
7.
Cao, Guoshuai, Ying Cheng, Xiaodong Zheng, et al.. (2021). All‐trans retinoic acid induces leukemia resistance to NK cell cytotoxicity by down‐regulating B7‐H6 expression via c‐Myc signaling. Cancer Communications. 41(1). 51–61. 6 indexed citations
8.
Bai, Lu, Margaux Vienne, Ling Tang, et al.. (2021). Liver type 1 innate lymphoid cells develop locally via an interferon-γ–dependent loop. Science. 371(6536). 76 indexed citations
9.
Xu, Xiaoling, Mingfeng Han, Tiantian Li, et al.. (2020). Effective treatment of severe COVID-19 patients with tocilizumab. Proceedings of the National Academy of Sciences. 117(20). 10970–10975. 1874 indexed citations breakdown →
10.
Wang, Xiwei, Zheng Xiang, Yinping Liu, et al.. (2020). Exosomes derived from Vδ2-T cells control Epstein-Barr virus–associated tumors and induce T cell antitumor immunity. Science Translational Medicine. 12(563). 77 indexed citations
11.
Li, Kun, Yang Wu, Young Li, et al.. (2020). Landscape and Dynamics of the Transcriptional Regulatory Network During Natural Killer Cell Differentiation. Genomics Proteomics & Bioinformatics. 18(5). 501–515. 19 indexed citations
12.
Arnaldez, Fernanda I., Steven O’Day, Charles G. Drake, et al.. (2020). The Society for Immunotherapy of Cancer perspective on regulation of interleukin-6 signaling in COVID-19-related systemic inflammatory response. Journal for ImmunoTherapy of Cancer. 8(1). e000930–e000930. 68 indexed citations
13.
Sun, Haoyu, Lianxin Liu, Qiang Huang, et al.. (2019). Accumulation of Tumor-Infiltrating CD49a+ NK Cells Correlates with Poor Prognosis for Human Hepatocellular Carcinoma. Cancer Immunology Research. 7(9). 1535–1546. 72 indexed citations
14.
Sun, Haoyu, Jing Xu, Qiang Huang, et al.. (2018). Reduced CD160 Expression Contributes to Impaired NK-cell Function and Poor Clinical Outcomes in Patients with HCC. Cancer Research. 78(23). 6581–6593. 42 indexed citations
15.
Zheng, Xiaohu, Binqing Fu, Meijuan Zheng, et al.. (2016). EpCAM Inhibition Sensitizes Chemoresistant Leukemia to Immune Surveillance. Cancer Research. 77(2). 482–493. 24 indexed citations
16.
Li, Shinan, Rui Sun, Yongyan Chen, Haiming Wei, & Zhigang Tian. (2015). TLR2 Limits Development of Hepatocellular Carcinoma by Reducing IL18-Mediated Immunosuppression. Cancer Research. 75(6). 986–995. 59 indexed citations
17.
Zheng, Xiaohu, Min Cheng, Binqing Fu, et al.. (2015). Targeting LUNX Inhibits Non–Small Cell Lung Cancer Growth and Metastasis. Cancer Research. 75(6). 1080–1090. 26 indexed citations
18.
Fu, Binqing, Li X, Rui Sun, et al.. (2012). Natural killer cells promote immune tolerance by regulating inflammatory T H 17 cells at the human maternal–fetal interface. Proceedings of the National Academy of Sciences. 110(3). E231–40. 238 indexed citations
19.
Zhang, Weici, Yongyan Chen, Haiming Wei, et al.. (2008). Antiapoptotic Activity of Autocrine Interleukin-22 and Therapeutic Effects of Interleukin-22-Small Interfering RNA on Human Lung Cancer Xenografts. Clinical Cancer Research. 14(20). 6432–6439. 108 indexed citations
20.
Jiang, Wei, Rui Sun, Haiming Wei, & Zhigang Tian. (2005). Toll-like receptor 3 ligand attenuates LPS-induced liver injury by down-regulation of toll-like receptor 4 expression on macrophages. Proceedings of the National Academy of Sciences. 102(47). 17077–17082. 133 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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