Chen Dong

52.7k total citations · 18 hit papers
330 papers, 39.9k citations indexed

About

Chen Dong is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Chen Dong has authored 330 papers receiving a total of 39.9k indexed citations (citations by other indexed papers that have themselves been cited), including 227 papers in Immunology, 83 papers in Molecular Biology and 71 papers in Oncology. Recurrent topics in Chen Dong's work include Immune Cell Function and Interaction (119 papers), T-cell and B-cell Immunology (119 papers) and Immunotherapy and Immune Responses (62 papers). Chen Dong is often cited by papers focused on Immune Cell Function and Interaction (119 papers), T-cell and B-cell Immunology (119 papers) and Immunotherapy and Immune Responses (62 papers). Chen Dong collaborates with scholars based in United States, China and Japan. Chen Dong's co-authors include Roza Nurieva, Xuexian O. Yang, Seon Hee Chang, Richard A. Flavell, Yeonseok Chung, Qiang Tian, Roger J. Davis, Gustavo Martínez, Stephanie S. Watowich and Yi-Hong Wang and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Chen Dong

318 papers receiving 39.4k citations

Hit Papers

A distinct lineage of CD4... 1998 2026 2007 2016 2005 2002 2008 2007 2007 1000 2.0k 3.0k

Author Peers

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

Author Last Decade Papers Cites
Chen Dong 27.8k 8.6k 8.4k 3.5k 2.9k 330 39.9k
John J. O’Shea 31.2k 1.1× 11.2k 1.3× 15.2k 1.8× 2.7k 0.8× 3.1k 1.1× 323 49.8k
Kenneth M. Murphy 41.4k 1.5× 10.8k 1.3× 11.1k 1.3× 4.1k 1.2× 2.4k 0.8× 298 56.2k
J. Daniel 26.8k 1.0× 8.3k 1.0× 5.6k 0.7× 2.9k 0.8× 1.4k 0.5× 129 38.8k
Kouji Matsushima 25.6k 0.9× 11.8k 1.4× 12.9k 1.5× 4.4k 1.3× 4.3k 1.5× 562 49.2k
Ko Okumura 28.8k 1.0× 12.6k 1.5× 7.2k 0.9× 4.7k 1.3× 4.1k 1.4× 848 47.4k
Silvano Sozzani 25.7k 0.9× 10.6k 1.2× 12.6k 1.5× 3.1k 0.9× 2.8k 1.0× 314 41.1k
Shimon Sakaguchi 53.8k 1.9× 9.0k 1.0× 15.6k 1.9× 2.7k 0.8× 2.6k 0.9× 308 68.3k
Albert Zlotnik 25.6k 0.9× 7.6k 0.9× 16.9k 2.0× 2.7k 0.8× 2.0k 0.7× 213 40.5k
Alexander Y. Rudensky 47.3k 1.7× 14.3k 1.7× 10.1k 1.2× 3.4k 1.0× 4.8k 1.7× 246 63.6k
Mohamed Oukka 21.5k 0.8× 4.8k 0.6× 4.2k 0.5× 2.0k 0.6× 1.3k 0.4× 92 29.3k

Countries citing papers authored by Chen Dong

Since Specialization
Citations

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

Fields of papers citing papers by Chen Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chen Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Chen Dong. A scholar is included among the top collaborators of Chen 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 Chen Dong. Chen 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.
Xie, Bowen, Bowen Yuan, Xiaohong Zhao, et al.. (2025). Ms4a7 expression in cDC1s determines cross-presentation and antitumor immunity. Science. 390(6774). eady5362–eady5362.
3.
Han, Feng, Xiaohong Zhao, Xue Bai, et al.. (2023). A novel memory-like Tfh cell subset is precursor to effector Tfh cells in recall immune responses. The Journal of Experimental Medicine. 221(1). 13 indexed citations
4.
Sun, Qinli, Xiaohong Zhao, Bowen Xie, et al.. (2023). STAT3 regulates CD8+ T cell differentiation and functions in cancer and acute infection. The Journal of Experimental Medicine. 220(4). 70 indexed citations
5.
Ge, Jing, Xiaohong Zhao, Mengting Gou, et al.. (2023). Cell autonomous expression of BCL6 is required to maintain lineage identity of mouse CCR6+ ILC3s. The Journal of Experimental Medicine. 220(4). 8 indexed citations
6.
Chi, Hao, Gaoge Peng, Guo Chen, et al.. (2022). Characterization of coagulation-related gene signature to predict prognosis and tumor immune microenvironment in skin cutaneous melanoma. Frontiers in Oncology. 12. 975255–975255. 31 indexed citations
7.
Chen, Xiang, Jia Hu, Yunfei Wang, et al.. (2022). The FoxO4/DKK3 axis represses IFN-γ expression by Th1 cells and limits antimicrobial immunity. Journal of Clinical Investigation. 132(18). 12 indexed citations
8.
Fan, Xingliang, Zhibin Xu, Chenglin Li, et al.. (2021). Mesenchymal Stem Cells Regulate Type 2 Innate Lymphoid Cells via Regulatory T Cells through ICOS-ICOSL Interaction. Stem Cells. 39(7). 975–987. 18 indexed citations
9.
Liu, Sihan, Yanxia Fu, Kunrong Mei, et al.. (2020). A shedding soluble form of interleukin-17 receptor D exacerbates collagen-induced arthritis through facilitating TNF-α-dependent receptor clustering. Cellular and Molecular Immunology. 18(8). 1883–1895. 8 indexed citations
10.
Tanaka, Shinya, Yu Jiang, Gustavo Martínez, et al.. (2018). Trim33 mediates the proinflammatory function of Th17 cells. The Journal of Experimental Medicine. 215(7). 1853–1868. 45 indexed citations
11.
Xie, Shan, Jia Huang, Qin Qiao, et al.. (2018). Expression of the inhibitory B7 family molecule VISTA in human colorectal carcinoma tumors. Cancer Immunology Immunotherapy. 67(11). 1685–1694. 86 indexed citations
12.
Fu, Weiwei, Xindong Liu, Xiang Lin, et al.. (2018). Deficiency in T follicular regulatory cells promotes autoimmunity. The Journal of Experimental Medicine. 215(3). 815–825. 166 indexed citations
13.
Ma, Xingzhe, Enguang Bi, Chunjian Huang, et al.. (2018). Cholesterol negatively regulates IL-9–producing CD8+ T cell differentiation and antitumor activity. The Journal of Experimental Medicine. 215(6). 1555–1569. 118 indexed citations
14.
Lin, Dandan, Man Zhang, Meng‐Xin Zhang, et al.. (2015). Induction of USP25 by viral infection promotes innate antiviral responses by mediating the stabilization of TRAF3 and TRAF6. Proceedings of the National Academy of Sciences. 112(36). 11324–11329. 107 indexed citations
15.
Ma, Shoubao, Qiao Cheng, Yifeng Cai, et al.. (2014). IL-17A Produced by γδ T Cells Promotes Tumor Growth in Hepatocellular Carcinoma. Cancer Research. 74(7). 1969–1982. 200 indexed citations
16.
Shan, Ming, Xiaoyi Yuan, Li-zhen Song, et al.. (2012). Cigarette Smoke Induction of Osteopontin (SPP1) Mediates T H 17 Inflammation in Human and Experimental Emphysema. Science Translational Medicine. 4(117). 117ra9–117ra9. 142 indexed citations
17.
Martín‐Orozco, Natalia, Yufeng Li, Yi‐Jun Wang, et al.. (2010). Melanoma Cells Express ICOS Ligand to Promote the Activation and Expansion of T-Regulatory Cells. Cancer Research. 70(23). 9581–9590. 109 indexed citations
19.
Pappu, Bhanu P., Anna Borodovsky, Timothy S. Zheng, et al.. (2008). TL1A–DR3 interaction regulates Th17 cell function and Th17-mediated autoimmune disease. The Journal of Experimental Medicine. 205(5). 1049–1062. 177 indexed citations
20.
Yang, Xuexian O., Seon Hee Chang, Heon Park, et al.. (2008). Regulation of inflammatory responses by IL-17F. The Journal of Experimental Medicine. 205(5). 1063–1075. 625 indexed citations breakdown →

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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