Demin Wang

14.3k total citations · 3 hit papers
141 papers, 10.5k citations indexed

About

Demin Wang is a scholar working on Immunology, Molecular Biology and Hematology. According to data from OpenAlex, Demin Wang has authored 141 papers receiving a total of 10.5k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Immunology, 37 papers in Molecular Biology and 37 papers in Hematology. Recurrent topics in Demin Wang's work include Immune Cell Function and Interaction (40 papers), T-cell and B-cell Immunology (35 papers) and Platelet Disorders and Treatments (25 papers). Demin Wang is often cited by papers focused on Immune Cell Function and Interaction (40 papers), T-cell and B-cell Immunology (35 papers) and Platelet Disorders and Treatments (25 papers). Demin Wang collaborates with scholars based in United States, China and Japan. Demin Wang's co-authors include James N. Ihle, Dimitrios J. Stravopodis, Renren Wen, Stephan Teglund, Catriona McKay, Evan Parganas, Gerard C. Grosveld, Jean‐Christophe Marine, David J. Topham and Chen Dong and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Demin Wang

137 papers receiving 10.4k citations

Hit Papers

STAT3 Regulates Cytokine-mediated Generation of Inflammat... 1998 2026 2007 2016 2007 1998 1998 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Demin Wang United States 47 5.7k 4.1k 3.1k 1.4k 1.4k 141 10.5k
Bo Tang China 31 1.9k 0.3× 2.4k 0.6× 2.5k 0.8× 1.1k 0.8× 828 0.6× 114 6.5k
Yuzuru Kanakura Japan 58 5.3k 0.9× 3.4k 0.8× 4.6k 1.5× 4.7k 3.3× 854 0.6× 368 16.5k
Ursula Fearon Ireland 54 3.0k 0.5× 1.3k 0.3× 2.7k 0.9× 1.3k 0.9× 1.0k 0.7× 166 8.4k
David L. Boyle United States 48 2.3k 0.4× 1.5k 0.4× 3.2k 1.0× 853 0.6× 1.4k 1.0× 110 7.1k
Atsushi Hirao Japan 44 2.4k 0.4× 3.2k 0.8× 7.2k 2.3× 3.3k 2.3× 1.9k 1.4× 132 12.4k
Kunihiro Yamaoka Japan 46 2.5k 0.4× 1.6k 0.4× 1.4k 0.5× 914 0.7× 339 0.2× 206 7.2k
Dimitrios Mougiakakos Germany 41 3.0k 0.5× 2.6k 0.6× 2.6k 0.8× 568 0.4× 920 0.7× 144 7.0k
Yutaka Sasaki Japan 43 2.3k 0.4× 1.2k 0.3× 2.6k 0.8× 1.2k 0.9× 477 0.3× 246 7.9k
Aly Karsan Canada 52 2.1k 0.4× 1.6k 0.4× 5.6k 1.8× 1.1k 0.8× 2.4k 1.7× 202 9.5k
Elaine F. Remmers United States 49 2.4k 0.4× 1.3k 0.3× 2.5k 0.8× 576 0.4× 693 0.5× 136 7.3k

Countries citing papers authored by Demin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Demin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Demin Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Demin Wang. A scholar is included among the top collaborators of Demin 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 Demin Wang. Demin 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.
Peng, Yiming, et al.. (2025). Incidence and risk factors of falls in older people with chronic comorbidities in community: a cross-sectional study. Frontiers in Public Health. 13. 1643699–1643699.
2.
Kanack, Adam J., Jordan K. Schaefer, Meera Sridharan, et al.. (2023). Monoclonal gammopathy of thrombotic/thrombocytopenic significance. Blood. 141(14). 1772–1776. 15 indexed citations
3.
Zheng, Yongwei, Mei Yu, Liquan Xue, et al.. (2023). CARD19, a Novel Regulator of the TAK1/NF-κB Pathway in Self-Reactive B Cells. The Journal of Immunology. 210(9). 1222–1235. 1 indexed citations
4.
Wen, Zhi, Xin Gao, Lin Li, et al.. (2022). Tcof1 haploinsufficiency promotes early T cell precursor-like leukemia in NrasQ61R/+ mice. Leukemia. 36(4). 1167–1170. 1 indexed citations
5.
Li, Jie, Liansheng Zhang, Yongwei Zheng, et al.. (2020). BAD inactivation exacerbates rheumatoid arthritis pathology by promoting survival of sublining macrophages. eLife. 9. 12 indexed citations
6.
Gupta, Shuchi, Christoph Konradt, Adam Corken, et al.. (2020). Hemostasis vs. homeostasis: Platelets are essential for preserving vascular barrier function in the absence of injury or inflammation. Proceedings of the National Academy of Sciences. 117(39). 24316–24325. 39 indexed citations
7.
Xu, Wenwen, Juan Dong, Yongwei Zheng, et al.. (2019). Immune-Checkpoint Protein VISTA Regulates Antitumor Immunity by Controlling Myeloid Cell–Mediated Inflammation and Immunosuppression. Cancer Immunology Research. 7(9). 1497–1510. 125 indexed citations
8.
Burns, Robert, Yongwei Zheng, Jian Shen, et al.. (2019). Critical role of Jumonji domain of JMJD1C in MLL-rearranged leukemia. Blood Advances. 3(9). 1499–1511. 22 indexed citations
9.
Zeng, Hu, Mei Yu, Haiyan Tan, et al.. (2018). Discrete roles and bifurcation of PTEN signaling and mTORC1-mediated anabolic metabolism underlie IL-7–driven B lymphopoiesis. Science Advances. 4(1). eaar5701–eaar5701. 35 indexed citations
11.
Nurieva, Roza, Andrew Podd, Yuhong Chen, et al.. (2012). STAT5 Protein Negatively Regulates T Follicular Helper (Tfh) Cell Generation and Function. Journal of Biological Chemistry. 287(14). 11234–11239. 187 indexed citations
12.
Fu, Guoping, Yuhong Chen, Mei Yu, et al.. (2010). Phospholipase Cγ1 is essential for T cell development, activation, and tolerance. The Journal of Experimental Medicine. 207(2). 309–318. 102 indexed citations
14.
Malarkannan, Subramaniam, Haiyan Chu, Yuhong Chen, et al.. (2007). Bcl10 Plays a Divergent Role in NK Cell-Mediated Cytotoxicity and Cytokine Generation. The Journal of Immunology. 179(6). 3752–3762. 35 indexed citations
15.
Chen, Yuhong, Bhanu P. Pappu, Hu Zeng, et al.. (2007). B Cell Lymphoma 10 Is Essential for FcεR-Mediated Degranulation and IL-6 Production in Mast Cells. The Journal of Immunology. 178(1). 49–57. 24 indexed citations
16.
Chen, Yuhong, Xuezhi Dai, Li Bai, et al.. (2006). Differential and Nonredundant Roles of Phospholipase Cγ2 and Phospholipase Cγ1 in the Terminal Maturation of NK Cells. The Journal of Immunology. 177(8). 5365–5376. 41 indexed citations
17.
Hoek, Kristen L., Pierre Antony, John Lowe, et al.. (2006). Transitional B Cell Fate Is Associated with Developmental Stage-Specific Regulation of Diacylglycerol and Calcium Signaling upon B Cell Receptor Engagement. The Journal of Immunology. 177(8). 5405–5413. 33 indexed citations
18.
Zhu, Minghua, Renren Wen, Kaiyong Yang, et al.. (2005). Negative Regulation of Lymphocyte Activation by the Adaptor Protein LAX. The Journal of Immunology. 174(9). 5612–5619. 44 indexed citations
19.
Chen, Yuhong, et al.. (2004). NKG2D receptor–mediated NK cell function is regulated by inhibitory Ly49 receptors. Blood. 105(1). 233–240. 47 indexed citations
20.
Moriggl, Richard, David J. Topham, Stephan Teglund, et al.. (1999). Stat5 Is Required for IL-2-Induced Cell Cycle Progression of Peripheral T Cells. Immunity. 10(2). 249–259. 477 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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