Wen‐Ming Chu

4.2k total citations · 1 hit paper
45 papers, 3.4k citations indexed

About

Wen‐Ming Chu is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Wen‐Ming Chu has authored 45 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 15 papers in Immunology and 13 papers in Cancer Research. Recurrent topics in Wen‐Ming Chu's work include Immune Response and Inflammation (10 papers), NF-κB Signaling Pathways (7 papers) and Skin Protection and Aging (4 papers). Wen‐Ming Chu is often cited by papers focused on Immune Response and Inflammation (10 papers), NF-κB Signaling Pathways (7 papers) and Skin Protection and Aging (4 papers). Wen‐Ming Chu collaborates with scholars based in United States, China and Italy. Wen‐Ming Chu's co-authors include Zhiwei Li, Michael Karin, Yinsheng Wan, Tom Deerinck, Mark H. Ellisman, Mireille Delhase, Randall S. Johnson, Yinling Hu, Cong Cao and Nicola Kouttab and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Wen‐Ming Chu

42 papers receiving 3.4k citations

Hit Papers

The IKKβ Subunit of IκB Kinase (IKK) is Essential for Nuc... 1999 2026 2008 2017 1999 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The IKKβ Subunit of IκB Kinase (IKK) is Essential for Nuclear Factor κB Activation and Prevention of Apoptosis
    1999 798 citations Wen‐Ming Chu et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wen‐Ming Chu United States 26 1.8k 1.2k 1.0k 541 355 45 3.4k
You‐Sun Kim South Korea 33 2.0k 1.2× 813 0.7× 1.1k 1.0× 522 1.0× 338 1.0× 82 3.9k
Latifa Bakiri Austria 37 2.5k 1.4× 799 0.7× 699 0.7× 1.0k 1.9× 357 1.0× 79 4.2k
Arndt Schottelius Germany 21 1.3k 0.7× 623 0.5× 1.0k 1.0× 692 1.3× 143 0.4× 27 3.0k
Susan R. Pfeffer United States 24 2.4k 1.4× 1.5k 1.3× 1.2k 1.1× 1.0k 1.9× 178 0.5× 34 4.0k
Ruaidhrı́ J. Carmody United Kingdom 28 2.0k 1.1× 851 0.7× 1.6k 1.5× 488 0.9× 190 0.5× 52 4.0k
Francesca Zazzeroni Italy 35 3.0k 1.7× 1.6k 1.3× 1.2k 1.2× 1.0k 1.9× 270 0.8× 96 5.3k
Rudolf A. Rupec Germany 18 1.0k 0.6× 817 0.7× 965 0.9× 326 0.6× 104 0.3× 27 2.4k
Karin Müller‐Decker Germany 38 2.0k 1.1× 831 0.7× 537 0.5× 654 1.2× 329 0.9× 87 4.6k
Marie‐Paule Merville Belgium 33 2.7k 1.5× 1.5k 1.3× 1.1k 1.1× 1000 1.8× 192 0.5× 75 4.7k
Zhen Wang China 32 2.2k 1.3× 699 0.6× 440 0.4× 599 1.1× 215 0.6× 153 3.6k

Countries citing papers authored by Wen‐Ming Chu

Since Specialization
Citations

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

Fields of papers citing papers by Wen‐Ming Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wen‐Ming Chu. 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 Wen‐Ming Chu. The network helps show where Wen‐Ming Chu may publish in the future.

Co-authorship network of co-authors of Wen‐Ming Chu

This figure shows the co-authorship network connecting the top 25 collaborators of Wen‐Ming Chu. A scholar is included among the top collaborators of Wen‐Ming Chu 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 Wen‐Ming Chu. Wen‐Ming Chu 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
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Lin, Nan, Xiyan Gao, Xiao Li, & Wen‐Ming Chu. (2024). Involvement of ubiquitination in Alzheimer’s disease. Frontiers in Neurology. 15. 2 indexed citations
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Wang, Zhanwei, Dionyssios Katsaros, Nicoletta Biglia, et al.. (2019). ERα upregulates the expression of long non-coding RNA LINC00472 which suppresses the phosphorylation of NF-κB in breast cancer. Breast Cancer Research and Treatment. 175(2). 353–368. 41 indexed citations
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Ma, Chi, Marianna Murányi, Catherine Chu, Jianhua Zhang, & Wen‐Ming Chu. (2013). Involvement of DNA-PKcs in the IL-6 and IL-12 Response to CpG-ODN Is Mediated by Its Interaction with TRAF6 in Dendritic Cells. PLoS ONE. 8(3). e58072–e58072. 19 indexed citations
8.
Chu, Wen‐Ming. (2012). Tumor necrosis factor. Cancer Letters. 328(2). 222–225. 396 indexed citations
9.
Cao, Cong, John Marshall, Meisheng Jiang, & Wen‐Ming Chu. (2010). Activation of the Akt/mTOR pathway by EGF and its family growth factors is mediated by G-protein {alpha}i1 and {alpha}i 3. The FASEB Journal. 24. 1 indexed citations
10.
Cao, Cong, Yuyuan Han, Yinsheng Wan, et al.. (2009). Gα i1 and Gα i3 Are Required for Epidermal Growth Factor–Mediated Activation of the Akt-mTORC1 Pathway. Science Signaling. 2(68). ra17–ra17. 123 indexed citations
11.
Wang, Zhanwei, et al.. (2009). SULT1A1 R213H polymorphism and breast cancer risk: a meta-analysis based on 8,454 cases and 11,800 controls. Breast Cancer Research and Treatment. 122(1). 193–198. 24 indexed citations
12.
Jiang, Qin, Cong Cao, Changlin Zhou, et al.. (2008). Quercetin Attenuates UV- and H 2 O 2 -induced Decrease of Collagen Type I in Cultured Human Lens Epithelial Cells. Journal of Ocular Pharmacology and Therapeutics. 24(2). 164–174. 12 indexed citations
13.
Cao, Cong, Shan Lü, Qin Jiang, et al.. (2008). EGFR activation confers protections against UV-induced apoptosis in cultured mouse skin dendritic cells. Cellular Signalling. 20(10). 1830–1838. 35 indexed citations
14.
Chu, Wen‐Ming, Stanimir S. Ivanov, Ana‐Maria Dragoi, & Xin Wang. (2007). A novel role for HMGB1 in TLR9-mediated inflammatory responses to CpG-DNA (89.24). The Journal of Immunology. 178(1_Supplement). S153–S153. 8 indexed citations
15.
Wang, Xin, Ana‐Maria Dragoi, Matthew Riolo, Michelle Y. Peng, & Wen‐Ming Chu. (2007). A novel role for Ku70 in differential regulation of pro-inflammatory cytokine response to CpG-DNA (89.22). The Journal of Immunology. 178(1_Supplement). S153–S153. 1 indexed citations
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Crane, Meredith J., et al.. (2007). IFN-αβ-Mediated Inflammatory Responses and Antiviral Defense in Liver Is TLR9-Independent but MyD88-Dependent during Murine Cytomegalovirus Infection. The Journal of Immunology. 179(9). 6176–6183. 49 indexed citations
17.
Peng, Xiao, Ping Zhang, Xin Wang, et al.. (2007). Signaling Pathways Leading to the Activation of IKK and MAPK by Thymosin α1. Annals of the New York Academy of Sciences. 1112(1). 339–350. 16 indexed citations
18.
Cao, Cong, Shu Wan, Qin Jiang, et al.. (2007). All‐trans retinoic acid attenuates ultraviolet radiation‐induced down‐regulation of aquaporin‐3 and water permeability in human keratinocytes. Journal of Cellular Physiology. 215(2). 506–516. 85 indexed citations
19.
Cao, Cong, Sarah Healey, Ashley Amaral, et al.. (2007). ATP‐sensitive potassium channel: A novel target for protection against UV‐induced human skin cell damage. Journal of Cellular Physiology. 212(1). 252–263. 42 indexed citations
20.
Dragoi, Ana‐Maria, Xiaoying Fu, Stanimir S. Ivanov, et al.. (2005). DNA‐PKcs, but not TLR9, is required for activation of Akt by CpG‐DNA. The EMBO Journal. 24(4). 779–789. 95 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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