Li Zhong

432 total citations
15 papers, 323 citations indexed

About

Li Zhong is a scholar working on Molecular Biology, Immunology and Infectious Diseases. According to data from OpenAlex, Li Zhong has authored 15 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 10 papers in Immunology and 2 papers in Infectious Diseases. Recurrent topics in Li Zhong's work include interferon and immune responses (7 papers), Immune Cell Function and Interaction (4 papers) and RNA regulation and disease (2 papers). Li Zhong is often cited by papers focused on interferon and immune responses (7 papers), Immune Cell Function and Interaction (4 papers) and RNA regulation and disease (2 papers). Li Zhong collaborates with scholars based in China, United States and Qatar. Li Zhong's co-authors include Hong‐Bing Shu, Ming‐Ming Hu, Ying Liu, Qiang Chen, Qing Yang, Shu Li, Yu Guo, Pinghui Feng, Xiaona Sun and Isabelle Rouvet and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Immunology.

In The Last Decade

Li Zhong

13 papers receiving 317 citations

Peers

Li Zhong
Li Zhong
Citations per year, relative to Li Zhong Li Zhong (= 1×) peers Swarupa Panda

Countries citing papers authored by Li Zhong

Since Specialization
Citations

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

Fields of papers citing papers by Li Zhong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li Zhong

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

All Works

15 of 15 papers shown
1.
Wang, Liwei, Lucile Noyer, Miki Jishage, et al.. (2025). CLNS1A regulates genome stability and cell cycle progression to control CD4 T cell function and autoimmunity. Science Immunology. 10(108). eadq8860–eadq8860.
3.
Zhong, Li, Yin‐Hu Wang, Sascha Kahlfuß, et al.. (2025). STIM1-mediated NFAT signaling synergizes with STAT1 to control T-bet expression and TH1 differentiation. Nature Immunology. 26(3). 484–496. 1 indexed citations
4.
Yang, Qian, Juan Lin, Shuang Lin, et al.. (2024). Screening and affinity optimization of single domain antibody targeting the SARS-CoV-2 nucleocapsid protein. PeerJ. 12. e17846–e17846. 1 indexed citations
5.
Feng, Lu, Chen Li, Li Zhong, et al.. (2022). MARCH3 negatively regulates IL-3-triggered inflammatory response by mediating K48-linked polyubiquitination and degradation of IL-3Rα. Signal Transduction and Targeted Therapy. 7(1). 21–21. 15 indexed citations
6.
He, Wen-Rui, Li Zhong, Yi Guo, et al.. (2022). Endocytosis triggers V-ATPase-SYK–mediated priming of cGAS activation and innate immune response. Proceedings of the National Academy of Sciences. 119(43). e2207280119–e2207280119. 16 indexed citations
7.
Zhong, Li & Hong‐Bing Shu. (2021). Mitotic inactivation of the cGAS‒MITA/STING pathways. Journal of Molecular Cell Biology. 13(10). 721–727. 4 indexed citations
8.
Sun, Xiaona, Ting Liu, Jun Zhao, et al.. (2020). DNA-PK deficiency potentiates cGAS-mediated antiviral innate immunity. Nature Communications. 11(1). 6182–6182. 95 indexed citations
9.
Zhong, Li, et al.. (2020). Phosphorylation of cGAS by CDK1 impairs self-DNA sensing in mitosis. Cell Discovery. 6(1). 26–26. 99 indexed citations
10.
Chen, Long & Li Zhong. (2020). The PDZ-binding Motif of SARS-CoV Envelope Protein Induces Cancerization and Poor Prognosis of Lung Adenocarcinoma. 1 indexed citations
11.
Wei, Jin, Huan Lian, Wei Guo, et al.. (2018). SNX8 modulates innate immune response to DNA virus by mediating trafficking and activation of MITA. PLoS Pathogens. 14(10). e1007336–e1007336. 34 indexed citations
12.
Liu, Ying, Qian Zhou, Li Zhong, et al.. (2018). ZDHHC11 modulates innate immune response to DNA virus by mediating MITA–IRF3 association. Cellular and Molecular Immunology. 15(10). 907–916. 30 indexed citations
13.
Ye, Zhenlong, Li Zhong, Huajun Jin, & Qijun Qian. (2016). Therapeutic Cancer Vaccines. Advances in experimental medicine and biology. 909. 139–167. 13 indexed citations
14.
Guo, Xiaoyan, et al.. (2014). [Prophylactic effect of budesonide on the expression of IL-4, IL-5 in model of allergic rhinitis rats].. PubMed. 28(14). 1057–60. 1 indexed citations
15.
Zhong, Li, et al.. (2007). A single genetic locus in chromosome 1 controls conditional browning during the induction of calli from mature seeds of Oryza sativa ssp. indica. Plant Cell Tissue and Organ Culture (PCTOC). 89(2-3). 237–245. 13 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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