Xuetao Cao

53.5k total citations · 17 hit papers
523 papers, 36.1k citations indexed

About

Xuetao Cao is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Xuetao Cao has authored 523 papers receiving a total of 36.1k indexed citations (citations by other indexed papers that have themselves been cited), including 347 papers in Immunology, 223 papers in Molecular Biology and 106 papers in Oncology. Recurrent topics in Xuetao Cao's work include Immunotherapy and Immune Responses (152 papers), Immune Cell Function and Interaction (110 papers) and Immune Response and Inflammation (98 papers). Xuetao Cao is often cited by papers focused on Immunotherapy and Immune Responses (152 papers), Immune Cell Function and Interaction (110 papers) and Immune Response and Inflammation (98 papers). Xuetao Cao collaborates with scholars based in China, Croatia and United States. Xuetao Cao's co-authors include Yang Liu, Nan Li, Sheng Xu, Xingguang Liu, Yanmei Han, Taoyong Chen, Yizhi Yu, Jin Hou, Huazhang An and Shuxun Liu and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Xuetao Cao

507 papers receiving 35.7k citations

Hit Papers

COVID-19: immunopathology and... 2009 2026 2014 2020 2020 2017 2016 2014 2009 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xuetao Cao China 101 18.1k 17.3k 9.9k 5.8k 2.9k 523 36.1k
Judy Lieberman United States 93 24.7k 1.4× 10.3k 0.6× 7.0k 0.7× 3.6k 0.6× 3.4k 1.2× 242 35.4k
Francisco Sánchez‐Madrid Spain 99 16.7k 0.9× 16.7k 1.0× 6.4k 0.6× 5.5k 1.0× 2.4k 0.8× 525 39.9k
Michael J. Lenardo United States 89 14.9k 0.8× 17.6k 1.0× 5.1k 0.5× 6.5k 1.1× 5.2k 1.8× 244 34.1k
Nigel Mackman United States 106 12.7k 0.7× 9.9k 0.6× 5.6k 0.6× 3.8k 0.7× 3.7k 1.2× 508 39.6k
Xiaoxia Li China 80 9.2k 0.5× 14.1k 0.8× 4.8k 0.5× 3.8k 0.7× 2.7k 0.9× 492 26.9k
Pascal Schneider Switzerland 85 14.9k 0.8× 17.4k 1.0× 4.8k 0.5× 5.1k 0.9× 4.0k 1.4× 261 33.5k
Ghislain Opdenakker Belgium 91 9.5k 0.5× 9.4k 0.5× 8.0k 0.8× 8.6k 1.5× 2.5k 0.9× 512 30.1k
Jordan S. Pober United States 97 12.0k 0.7× 15.7k 0.9× 4.7k 0.5× 4.3k 0.7× 2.9k 1.0× 362 37.0k
Henning Walczak Germany 79 18.5k 1.0× 10.7k 0.6× 5.6k 0.6× 5.3k 0.9× 3.9k 1.3× 207 26.5k
Klaus‐Michael Debatin Germany 85 20.6k 1.1× 9.1k 0.5× 5.1k 0.5× 6.5k 1.1× 3.8k 1.3× 521 33.1k

Countries citing papers authored by Xuetao Cao

Since Specialization
Citations

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

Fields of papers citing papers by Xuetao Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuetao Cao

This figure shows the co-authorship network connecting the top 25 collaborators of Xuetao Cao. A scholar is included among the top collaborators of Xuetao Cao 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 Xuetao Cao. Xuetao Cao 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.
Wang, Qiang, Qinghua Yao, Wenfang Li, et al.. (2025). Nonenzymatic lysine d-lactylation induced by glyoxalase II substrate SLG dampens inflammatory immune responses. Cell Research. 35(2). 97–116. 24 indexed citations breakdown →
2.
Wu, Jian, Sanpeng Xu, Zhiqing Li, et al.. (2025). SARS-CoV-2 enhances complement-mediated endothelial injury via the suppression of membrane complement regulatory proteins. Emerging Microbes & Infections. 14(1). 2467781–2467781. 1 indexed citations
3.
Huang, Jiaying, Mingjin Yang, Taoyong Chen, et al.. (2025). The RNA-binding E3 ligase MKRN2 selectively disrupts Il6 translation to restrain inflammation. Nature Immunology. 26(7). 1036–1047. 3 indexed citations
4.
Liu, Xiang, et al.. (2024). The deubiquitinase BAP1 and E3 ligase UBE3C sequentially target IRF3 to activate and resolve the antiviral innate immune response. Cell Reports. 43(8). 114608–114608. 3 indexed citations
5.
Cao, Xuetao, et al.. (2024). Splenic nociceptive neural connection promotes humoral immunity. Trends in Neurosciences. 47(12). 968–970.
6.
Zhou, Ye, Zhenyang Li, Yunhui Li, et al.. (2022). Malignant progression of liver cancer progenitors requires lysine acetyltransferase 7–acetylated and cytoplasm‐translocated G protein GαS. Hepatology. 77(4). 1106–1121. 11 indexed citations
7.
Wen, Mingyue, et al.. (2019). Nuclear hnRNPA2B1 initiates and amplifies the innate immune response to DNA viruses. Science. 365(6454). 267 indexed citations
8.
Xue, Yue, Lihua Lai, Wenwen Lian, et al.. (2018). SOX9/FXYD3/Src Axis Is Critical for ER+ Breast Cancer Stem Cell Function. Molecular Cancer Research. 17(1). 238–249. 43 indexed citations
9.
Liu, Shuo, Minghong Jiang, Wendie Wang, et al.. (2017). Nuclear RNF2 inhibits interferon function by promoting K33-linked STAT1 disassociation from DNA. Nature Immunology. 19(1). 41–52. 58 indexed citations
10.
Li, Ran, Yanchun Li, Huafeng Zhang, et al.. (2016). Delivery of oncolytic adenovirus into the nucleus of tumorigenic cells by tumor microparticles for virotherapy. Biomaterials. 89. 56–66. 85 indexed citations
11.
Su, Xiaoping, Huaming Wang, Wei Ge, et al.. (2015). An In Vivo Method to Identify microRNA Targets Not Predicted by Computation Algorithms: p21 Targeting by miR-92a in Cancer. Cancer Research. 75(14). 2875–2885. 68 indexed citations
12.
Wang, Pin, Yiquan Xue, Yanmei Han, et al.. (2014). The STAT3-Binding Long Noncoding RNA lnc-DC Controls Human Dendritic Cell Differentiation. Science. 344(6181). 310–313. 884 indexed citations breakdown →
13.
Zhang, Yi, Ke Tang, Yi Zhang, et al.. (2014). Cell-free Tumor Microparticle Vaccines Stimulate Dendritic Cells via cGAS/STING Signaling. Cancer Immunology Research. 3(2). 196–205. 125 indexed citations
14.
Meng, Xia, Juan Liu, Xiaohui Wu, et al.. (2013). Histone Methyltransferase Ash1l Suppresses Interleukin-6 Production and Inflammatory Autoimmune Diseases by Inducing the Ubiquitin-Editing Enzyme A20. Immunity. 39(3). 470–481. 135 indexed citations
15.
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
16.
Zhang, Ting, Shuxun Liu, Pengyuan Yang, et al.. (2009). Fibronectin maintains survival of mouse natural killer (NK) cells via CD11b/Src/β-catenin pathway. Blood. 114(19). 4081–4088. 34 indexed citations
17.
Li, Nan, Yuanyuan Zheng, Wei Chen, et al.. (2007). Adaptor Protein LAPF Recruits Phosphorylated p53 to Lysosomes and Triggers Lysosomal Destabilization in Apoptosis. Cancer Research. 67(23). 11176–11185. 51 indexed citations
18.
Wang, Xiaojian, Nan Li, Hongzhe Li, et al.. (2005). Silencing of Human Phosphatidylethanolamine-Binding Protein 4 Sensitizes Breast Cancer Cells to Tumor Necrosis Factor-α–Induced Apoptosis and Cell Growth Arrest. Clinical Cancer Research. 11(20). 7545–7553. 36 indexed citations
19.
Guo, Zhenhong, Minghui Zhang, Hua Tang, & Xuetao Cao. (2005). Fas signal links innate and adaptive immunity by promoting dendritic-cell secretion of CC and CXC chemokines. Blood. 106(6). 2033–2041. 54 indexed citations
20.

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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