Xiaoming Wang

4.7k total citations
96 papers, 2.8k citations indexed

About

Xiaoming Wang is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Xiaoming Wang has authored 96 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Immunology, 40 papers in Molecular Biology and 16 papers in Oncology. Recurrent topics in Xiaoming Wang's work include Immune Cell Function and Interaction (22 papers), T-cell and B-cell Immunology (15 papers) and Immunotherapy and Immune Responses (13 papers). Xiaoming Wang is often cited by papers focused on Immune Cell Function and Interaction (22 papers), T-cell and B-cell Immunology (15 papers) and Immunotherapy and Immune Responses (13 papers). Xiaoming Wang collaborates with scholars based in China, United States and Canada. Xiaoming Wang's co-authors include Jason G. Cyster, Jinping An, Lauren B. Rodda, Jesse A. Green, Ying Xu, Kazuhiro Suzuki, Chun Ye, Ben A. Barres, Erick Lu and Mariko L. Bennett and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Xiaoming Wang

91 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoming Wang China 27 1.4k 981 462 436 272 96 2.8k
Mireia Guerau‐de‐Arellano United States 25 1.2k 0.8× 1.3k 1.4× 321 0.7× 579 1.3× 140 0.5× 45 3.0k
Emiel P. C. van der Vorst Germany 32 870 0.6× 766 0.8× 373 0.8× 470 1.1× 169 0.6× 107 2.4k
Sébastien Gingras United States 27 1.3k 0.9× 850 0.9× 551 1.2× 322 0.7× 150 0.6× 60 3.0k
David E. Szymkowski United States 33 1.5k 1.0× 1.0k 1.1× 509 1.1× 238 0.5× 187 0.7× 66 3.5k
Hong‐Yan Qin China 26 1.5k 1.1× 1.2k 1.2× 415 0.9× 526 1.2× 216 0.8× 76 3.0k
Anthony Simon Israel 34 1.8k 1.2× 970 1.0× 371 0.8× 251 0.6× 302 1.1× 111 3.3k
Claire M. Dubois Canada 33 1.7k 1.2× 764 0.8× 643 1.4× 738 1.7× 473 1.7× 83 3.8k
Eleni Douni Greece 27 1.2k 0.8× 1.4k 1.4× 635 1.4× 465 1.1× 93 0.3× 58 3.2k
Maria Carla Bosco Italy 32 1.1k 0.8× 1.7k 1.7× 770 1.7× 807 1.9× 162 0.6× 81 3.3k
Eóin N. McNamee United States 31 1.0k 0.7× 1.7k 1.7× 398 0.9× 658 1.5× 227 0.8× 48 3.3k

Countries citing papers authored by Xiaoming Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoming Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoming Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoming Wang. A scholar is included among the top collaborators of Xiaoming Wang 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 Xiaoming Wang. Xiaoming Wang 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.
Deng, Zihou, Xiaoming Wang, Yuxuan Liu, et al.. (2025). DDX24 spatiotemporally orchestrates VEGF and Wnt signaling during developmental angiogenesis. Proceedings of the National Academy of Sciences. 122(19). e2417445122–e2417445122.
2.
3.
Wang, Xiaoming, et al.. (2025). Epigenetic regulation of B cell response in autoimmune diseases. Current Opinion in Immunology. 95. 102582–102582.
4.
Han, Hongwei, Minkai Yang, Zhongling Wen, et al.. (2024). Trametinib and M17, a novel small molecule inhibitor of AKT, display a synergistic antitumor effect in triple negative breast cancer cells through the AKT/mTOR and MEK/ERK pathways. Bioorganic Chemistry. 154. 107981–107981. 5 indexed citations
5.
Wang, Yansheng, Weibing Li, Wei Zhu, et al.. (2024). Dynamic response of steel cabin structure under blast loading from adjacent cabin. Engineering Structures. 311. 118213–118213. 8 indexed citations
6.
7.
Yin, Yuye, Xinyi Yang, Shusheng Wu, et al.. (2022). Jmjd1c demethylates STAT3 to restrain plasma cell differentiation and rheumatoid arthritis. Nature Immunology. 23(9). 1342–1354. 37 indexed citations
8.
Zhang, Le, Yuye Yin, Jun Wang, et al.. (2022). Histone methyltransferase Nsd2 ensures maternal–fetal immune tolerance by promoting regulatory T-cell recruitment. Cellular and Molecular Immunology. 19(5). 634–643. 14 indexed citations
9.
Bao, Zhongyuan, Yinlong Liu, Binglin Chen, et al.. (2021). Prokineticin-2 prevents neuronal cell deaths in a model of traumatic brain injury. Nature Communications. 12(1). 4220–4220. 96 indexed citations
10.
Wang, Xiaoming, et al.. (2021). Progranulin in neurodegenerative dementia. Journal of Neurochemistry. 158(2). 119–137. 27 indexed citations
11.
Cao, Min, et al.. (2021). cDC1 Dependent Accumulation of Memory T Cells Is Required for Chronic Autoimmune Inflammation in Murine Testis. Frontiers in Immunology. 12. 651860–651860. 9 indexed citations
12.
Zhang, Yan, Pan Jia, Xuelei Wang, et al.. (2019). Pathogenic CARD11 mutations affect B cell development and differentiation through a noncanonical pathway. Science Immunology. 4(41). 16 indexed citations
13.
Zhang, Le, Yang Zhang, Min Min, et al.. (2019). Histone methyltransferase Nsd2 is required for follicular helper T cell differentiation. The Journal of Experimental Medicine. 217(1). 24 indexed citations
14.
Chen, Chao, Sulan Zhai, Le Zhang, et al.. (2018). Uhrf1 regulates germinal center B cell expansion and affinity maturation to control viral infection. The Journal of Experimental Medicine. 215(5). 1437–1448. 30 indexed citations
15.
Tan, Ying, Juan Tan, Cheng Luo, et al.. (2015). Altered Brain Activation in Early Drug-Naive Parkinson’s Disease during Heat Pain Stimuli: An fMRI Study. Parkinson s Disease. 2015. 1–8. 16 indexed citations
16.
Yan, Feng, et al.. (2015). Analysis of UHRF1 expression in human ovarian cancer tissues and its regulation in cancer cell growth. Tumor Biology. 36(11). 8887–8893. 19 indexed citations
17.
Wang, Xiaoming, Hayakazu Sumida, & Jason G. Cyster. (2014). GPR18 is required for a normal CD8αα intestinal intraepithelial lymphocyte compartment. The Journal of Experimental Medicine. 211(12). 2351–2359. 71 indexed citations
18.
Wang, Xiaoming, Kazuhiro Suzuki, Ying Xu, et al.. (2011). Follicular dendritic cells help establish follicle identity and promote B cell retention in germinal centers. The Journal of Experimental Medicine. 208(12). 2497–2510. 215 indexed citations
19.
Ma, Ying, Renkuan Tang, Yang Xu, et al.. (2011). Lack of an association between interleukin-6 gene promoter polymorphisms (−174G/C, −572G/C) and ischemic heart disease and/or ischemic stroke: A meta-analysis. Human Immunology. 72(8). 641–651. 19 indexed citations
20.
Harris, Richard B., et al.. (2007). Home range size and overlap of Tibetan foxes(Vulpes ferrilata) in Dulan County,Qinghai Province. Acta Theriologica Sinica. 27(4). 370. 6 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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