Zhongjun Dong

2.4k total citations
53 papers, 1.9k citations indexed

About

Zhongjun Dong is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Zhongjun Dong has authored 53 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Immunology, 14 papers in Molecular Biology and 7 papers in Oncology. Recurrent topics in Zhongjun Dong's work include Immune Cell Function and Interaction (41 papers), T-cell and B-cell Immunology (19 papers) and Immune Response and Inflammation (6 papers). Zhongjun Dong is often cited by papers focused on Immune Cell Function and Interaction (41 papers), T-cell and B-cell Immunology (19 papers) and Immune Response and Inflammation (6 papers). Zhongjun Dong collaborates with scholars based in China, United States and United Kingdom. Zhongjun Dong's co-authors include Zhigang Tian, Haiming Wei, Rui Sun, Meixiang Yang, Xiuxiu Xu, Yonggang Zhou, Binqing Fu, Xianhong Tong, André Veillette and Bin Gao and has published in prestigious journals such as Nature Communications, The Journal of Experimental Medicine and SHILAP Revista de lepidopterología.

In The Last Decade

Zhongjun Dong

50 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhongjun Dong China 24 1.3k 396 289 263 189 53 1.9k
Masumi Shimizu Japan 19 785 0.6× 368 0.9× 229 0.8× 368 1.4× 150 0.8× 71 1.5k
Wayne S. Lapp Canada 27 1.7k 1.3× 750 1.9× 179 0.6× 283 1.1× 52 0.3× 78 2.4k
Françoise Gaudin France 19 341 0.3× 474 1.2× 360 1.2× 226 0.9× 83 0.4× 24 1.3k
Paola De Cesaris Italy 24 717 0.6× 705 1.8× 115 0.4× 232 0.9× 38 0.2× 42 1.8k
Tamio Koizumi Japan 21 380 0.3× 433 1.1× 117 0.4× 181 0.7× 47 0.2× 75 1.3k
Ana Laura Pereira-Suárez Mexico 22 397 0.3× 351 0.9× 327 1.1× 261 1.0× 16 0.1× 92 1.3k
Yoshinori Okamura Japan 9 721 0.6× 354 0.9× 140 0.5× 73 0.3× 22 0.1× 13 1.2k
Marguerite S. Buzza United States 19 475 0.4× 659 1.7× 210 0.7× 206 0.8× 26 0.1× 29 1.7k
HyeonJoo Cheon United States 17 1.0k 0.8× 722 1.8× 211 0.7× 880 3.3× 60 0.3× 20 2.0k

Countries citing papers authored by Zhongjun Dong

Since Specialization
Citations

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

Fields of papers citing papers by Zhongjun Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhongjun Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Zhongjun Dong. A scholar is included among the top collaborators of Zhongjun Dong 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 Zhongjun Dong. Zhongjun Dong 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.
Li, Dan, et al.. (2025). Adaptive immune cells antagonize ILC2 homeostasis via SLAMF3 and SLAMF5. Science Advances. 11(2). eadp9894–eadp9894. 3 indexed citations
2.
He, Shuai, Shu‐Qiang Liu, Liu Yang, et al.. (2024). Comparative single‐cell RNA sequencing analysis of immune response to inactivated vaccine and natural SARS‐CoV‐2 infection. Journal of Medical Virology. 96(4). e29577–e29577.
3.
He, Junming, et al.. (2024). STYK1 mediates NK cell anti-tumor response through regulating CCR2 and trafficking. Journal of Translational Medicine. 22(1). 943–943. 4 indexed citations
4.
Chen, Shasha, et al.. (2024). A Single-Cell Analysis of the NK-Cell Landscape Reveals That Dietary Restriction Boosts NK-Cell Antitumor Immunity via Eomesodermin. Cancer Immunology Research. 12(11). 1508–1524. 1 indexed citations
5.
Chen, Shasha, et al.. (2024). Dual Activity of Type III PI3K Kinase Vps34 is Critical for NK Cell Development and Senescence. Advanced Science. 11(21). e2309315–e2309315. 6 indexed citations
6.
He, Junming, et al.. (2024). SLAM-family receptors promote resolution of ILC2-mediated inflammation. Nature Communications. 15(1). 5056–5056. 6 indexed citations
7.
Zhang, Jinghe, Yali Qu, Zhenrong Yang, et al.. (2024). cGAS-activated endothelial cell–T cell cross-talk initiates tertiary lymphoid structure formation. Science Immunology. 9(98). eadk2612–eadk2612. 22 indexed citations
8.
Yang, Quanli, Jiamin Fu, Mingyue Zhao, et al.. (2024). Vps34 sustains Treg cell survival and function via regulating intracellular redox homeostasis. Cell Death and Differentiation. 31(11). 1519–1533. 9 indexed citations
9.
Lu, Jiao, Shan Li, Xiaopeng Li, et al.. (2021). Declined miR‐181a‐5p expression is associated with impaired natural killer cell development and function with aging. Aging Cell. 20(5). e13353–e13353. 16 indexed citations
10.
Yin, Feifei, et al.. (2020). LncRNA HOTTIP Participates in Cisplatin Resistance of Tumor Cells by Regulating miR-137 Expression in Pancreatic Cancer. SHILAP Revista de lepidopterología. 1 indexed citations
11.
Zhou, Yonggang, Binqing Fu, Xiuxiu Xu, et al.. (2020). PBX1 expression in uterine natural killer cells drives fetal growth. Science Translational Medicine. 12(537). 62 indexed citations
12.
13.
Feng, Dingqing, Keqin Yan, Haiyan Liang, et al.. (2020). CBP-mediated Wnt3a/β-catenin signaling promotes cervical oncogenesis initiated by Piwil2. Neoplasia. 23(1). 1–11. 13 indexed citations
14.
Li, Yajuan, Weihong Zeng, Yuelong Li, et al.. (2019). Structure determination of the CAMP factor ofStreptococcus agalactiaewith the aid of an MBP tag and insights into membrane-surface attachment. Acta Crystallographica Section D Structural Biology. 75(8). 772–781. 9 indexed citations
15.
Chen, Shasha & Zhongjun Dong. (2019). Concomitant deletion of SLAM-family receptors, NKG2D and DNAM-1 reveals gene redundancy of NK cell activating receptors in NK cell development and education. Journal of Leukocyte Biology. 107(4). 561–572. 5 indexed citations
16.
Zhang, Xiaoqian, et al.. (2019). Synergized regulation of NK cell education by NKG2A and specific Ly49 family members. Nature Communications. 10(1). 5010–5010. 48 indexed citations
17.
Wang, Jing, Baidong Hou, Meixiang Yang, et al.. (2018). PTEN-Regulated AID Transcription in Germinal Center B Cells Is Essential for the Class-Switch Recombination and IgG Antibody Responses. Frontiers in Immunology. 9. 371–371. 10 indexed citations
18.
Wu, Ning, Ming‐Chao Zhong, Romain Roncagalli, et al.. (2016). A hematopoietic cell–driven mechanism involving SLAMF6 receptor, SAP adaptors and SHP-1 phosphatase regulates NK cell education. Nature Immunology. 17(4). 387–396. 52 indexed citations
19.
Du, Jing, et al.. (2015). PDK1 promotes tumor growth and metastasis in a spontaneous breast cancer model. Oncogene. 35(25). 3314–3323. 59 indexed citations
20.
Dong, Zhongjun, Mario‐Ernesto Cruz‐Munoz, Ming‐Chao Zhong, et al.. (2009). Essential function for SAP family adaptors in the surveillance of hematopoietic cells by natural killer cells. Nature Immunology. 10(9). 973–980. 107 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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