Mude Shi

2.2k total citations
23 papers, 1.8k citations indexed

About

Mude Shi is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Mude Shi has authored 23 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Immunology, 8 papers in Molecular Biology and 5 papers in Oncology. Recurrent topics in Mude Shi's work include interferon and immune responses (12 papers), Immunotherapy and Immune Responses (4 papers) and Immune Response and Inflammation (4 papers). Mude Shi is often cited by papers focused on interferon and immune responses (12 papers), Immunotherapy and Immune Responses (4 papers) and Immune Response and Inflammation (4 papers). Mude Shi collaborates with scholars based in United States, China and South Korea. Mude Shi's co-authors include Jae U. Jung, Youn Jung Choi, Kyung‐Soo Inn, Qiming Liang, Mary A. Rodgers, Samad Amini‐Bavil‐Olyaee, Kazuhiro Iwaï, Michael Farzan, I‐Chueh Huang and Jianning Ge and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and The Journal of Experimental Medicine.

In The Last Decade

Mude Shi

23 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mude Shi United States 13 1.2k 839 425 273 235 23 1.8k
Gijs A. Versteeg Austria 18 1.4k 1.1× 835 1.0× 538 1.3× 536 2.0× 163 0.7× 33 2.1k
Naoya Shimada Japan 5 1.8k 1.5× 462 0.6× 441 1.0× 271 1.0× 271 1.2× 8 2.3k
Gil Ju Seo United States 8 964 0.8× 715 0.9× 282 0.7× 391 1.4× 128 0.5× 11 1.4k
Cynthia Johnson United States 15 1.3k 1.1× 666 0.8× 739 1.7× 271 1.0× 145 0.6× 21 2.2k
Line S. Reinert Denmark 20 1.3k 1.1× 896 1.1× 640 1.5× 519 1.9× 118 0.5× 38 2.2k
Evelyn Dixit United States 5 1.5k 1.2× 1.2k 1.5× 312 0.7× 273 1.0× 117 0.5× 6 2.0k
Boyoun Park South Korea 22 1.2k 1.0× 558 0.7× 563 1.3× 171 0.6× 122 0.5× 44 2.0k
Peyman Nakhaei Canada 13 1.2k 1.0× 522 0.6× 297 0.7× 245 0.9× 285 1.2× 21 1.5k
Shenghua Zhou United States 17 1.3k 1.0× 359 0.4× 606 1.4× 321 1.2× 114 0.5× 24 1.8k
Shouheng Jin China 21 648 0.5× 971 1.2× 483 1.1× 279 1.0× 230 1.0× 37 1.6k

Countries citing papers authored by Mude Shi

Since Specialization
Citations

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

Fields of papers citing papers by Mude Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mude Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Mude Shi. A scholar is included among the top collaborators of Mude Shi 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 Mude Shi. Mude Shi 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.
Chang, Chunyu, Siyi Hu, Mude Shi, et al.. (2025). “Cell‐On‐Demand” Digital Microfluidics for Real‐Time Low‐Abundance Single‐Cell Isolation and Sample Analysis. Small. 21(31). e2504239–e2504239. 2 indexed citations
2.
3.
Jin, Kai, Qian Liu, Hongxu Chen, et al.. (2024). AM-DMF-SCP: Integrated Single-Cell Proteomics Analysis on an Active Matrix Digital Microfluidic Chip. SHILAP Revista de lepidopterología. 4(5). 1811–1823. 27 indexed citations
4.
Zou, Yiping, et al.. (2023). Construction and validation of chemoresistance-associated tumor- infiltrating exhausted-like CD8+ T cell signature in breast cancer: cr-TILCD8TSig. Frontiers in Immunology. 14. 1120886–1120886. 6 indexed citations
5.
Shi, Mude, et al.. (2023). Enhanced absorbance detection system for online bacterial monitoring in digital microfluidics. The Analyst. 148(19). 4659–4667. 2 indexed citations
6.
Xiao, Weiwei, Ting Jiang, Zhiwei Guo, et al.. (2020). Targeting SGK1 enhances the efficacy of radiotherapy in locally advanced rectal cancer. Biomedicine & Pharmacotherapy. 125. 109954–109954. 9 indexed citations
7.
Xu, Li, Yaojun Zhang, Xiaohui Wang, et al.. (2020). Transarterial infusion chemotherapy (TAI) combined with Sintilimab in locally advanced, potentially resectable hepatocellular carcinoma (HCC).. Journal of Clinical Oncology. 38(15_suppl). e16593–e16593. 4 indexed citations
8.
Stittrich, Anna, J. R. Ashworth, Mude Shi, et al.. (2016). Genomic architecture of inflammatory bowel disease in five families with multiple affected individuals. Human Genome Variation. 3(1). 15060–15060. 11 indexed citations
9.
Liang, Qiming, Patrick Lee, Kevin Brulois, et al.. (2015). Identification of the Essential Role of Viral Bcl-2 for Kaposi's Sarcoma-Associated Herpesvirus Lytic Replication. Journal of Virology. 89(10). 5308–5317. 25 indexed citations
10.
Shi, Mude, Kyung‐Soo Inn, Aerin Yang, et al.. (2014). Negative regulation of NF-κB activity by brain-specific TRIpartite Motif protein 9. Nature Communications. 5(1). 4820–4820. 67 indexed citations
11.
Liang, Qiming, Gil Ju Seo, Youn Jung Choi, et al.. (2014). Crosstalk between the cGAS DNA Sensor and Beclin-1 Autophagy Protein Shapes Innate Antimicrobial Immune Responses. Cell Host & Microbe. 15(2). 228–238. 290 indexed citations
12.
Rodgers, Mary A., James W. Bowman, Hiroaki Fujita, et al.. (2014). The linear ubiquitin assembly complex (LUBAC) is essential for NLRP3 inflammasome activation. The Journal of Experimental Medicine. 211(7). 1333–1347. 201 indexed citations
13.
Versteeg, Gijs A., Ricardo Rajsbaum, María Teresa Sánchez-Aparicio, et al.. (2013). The E3-Ligase TRIM Family of Proteins Regulates Signaling Pathways Triggered by Innate Immune Pattern-Recognition Receptors. Immunity. 38(2). 384–398. 260 indexed citations
14.
Amini‐Bavil‐Olyaee, Samad, Youn Jung Choi, Mude Shi, et al.. (2013). The Antiviral Effector IFITM3 Disrupts Intracellular Cholesterol Homeostasis to Block Viral Entry. Cell Host & Microbe. 14(5). 600–601. 3 indexed citations
15.
Amini‐Bavil‐Olyaee, Samad, Youn Jung Choi, Mude Shi, et al.. (2013). The Antiviral Effector IFITM3 Disrupts Intracellular Cholesterol Homeostasis to Block Viral Entry. Cell Host & Microbe. 13(4). 452–464. 277 indexed citations
16.
Liang, Qiming, Kevin Brulois, Kamilah Castro, et al.. (2013). Kaposi's Sarcoma-Associated Herpesvirus K7 Modulates Rubicon-Mediated Inhibition of Autophagosome Maturation. Journal of Virology. 87(22). 12499–12503. 69 indexed citations
17.
Inn, Kyung‐Soo, Michaela U. Gack, Fuminori Tokunaga, et al.. (2011). Linear Ubiquitin Assembly Complex Negatively Regulates RIG-I- and TRIM25-Mediated Type I Interferon Induction. Molecular Cell. 41(3). 354–365. 176 indexed citations
18.
Shi, Mude, Weiwen Deng, Enguang Bi, et al.. (2008). TRIM30α negatively regulates TLR-mediated NF-κB activation by targeting TAB2 and TAB3 for degradation. Nature Immunology. 9(4). 369–377. 216 indexed citations
19.
Deng, Weiwen, Mude Shi, Meifang Han, et al.. (2008). Negative Regulation of Virus-triggered IFN-β Signaling Pathway by Alternative Splicing of TBK1. Journal of Biological Chemistry. 283(51). 35590–35597. 48 indexed citations
20.
Hou, Wanqiu, Yadi Wu, Shuhui Sun, et al.. (2003). Pertussis Toxin Enhances Th1 Responses by Stimulation of Dendritic Cells. The Journal of Immunology. 170(4). 1728–1736. 77 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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