Shi‐Chuen Miaw

2.0k total citations
40 papers, 1.6k citations indexed

About

Shi‐Chuen Miaw is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Shi‐Chuen Miaw has authored 40 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Immunology, 12 papers in Molecular Biology and 8 papers in Oncology. Recurrent topics in Shi‐Chuen Miaw's work include Immune Cell Function and Interaction (17 papers), T-cell and B-cell Immunology (10 papers) and Diabetes and associated disorders (5 papers). Shi‐Chuen Miaw is often cited by papers focused on Immune Cell Function and Interaction (17 papers), T-cell and B-cell Immunology (10 papers) and Diabetes and associated disorders (5 papers). Shi‐Chuen Miaw collaborates with scholars based in Taiwan, United States and India. Shi‐Chuen Miaw's co-authors include I‐Cheng Ho, Hiroko Kishikawa, Chen-Yen Lai, Caroline Pot, Hulin Jin, Christopher L. Karp, Rajat Madan, Vijay K. Kuchroo, Sue Min Liu and Arlene H. Sharpe 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

Shi‐Chuen Miaw

38 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shi‐Chuen Miaw Taiwan 21 983 495 198 171 161 40 1.6k
Outi Elomaa Finland 23 915 0.9× 625 1.3× 202 1.0× 205 1.2× 164 1.0× 37 1.9k
Christine T. N. Pham United States 8 748 0.8× 403 0.8× 214 1.1× 315 1.8× 153 1.0× 11 1.5k
Katia De Filippo United Kingdom 12 975 1.0× 440 0.9× 232 1.2× 84 0.5× 168 1.0× 12 1.6k
Ana Lúcia Coelho United States 23 681 0.7× 621 1.3× 214 1.1× 170 1.0× 171 1.1× 44 1.9k
Nengming Xiao China 18 660 0.7× 560 1.1× 246 1.2× 155 0.9× 145 0.9× 27 1.4k
Jacques Deguine United States 16 1.1k 1.1× 490 1.0× 265 1.3× 92 0.5× 176 1.1× 24 1.8k
Wenji Piao United States 21 1.1k 1.2× 490 1.0× 261 1.3× 259 1.5× 262 1.6× 42 1.8k
Jianguang Du United States 10 1.5k 1.5× 434 0.9× 291 1.5× 129 0.8× 149 0.9× 17 2.1k
Jun‐Qi Yang United States 23 693 0.7× 518 1.0× 136 0.7× 242 1.4× 114 0.7× 55 1.6k
Aleksander M. Grabiec Poland 24 584 0.6× 906 1.8× 281 1.4× 181 1.1× 110 0.7× 47 1.8k

Countries citing papers authored by Shi‐Chuen Miaw

Since Specialization
Citations

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

Fields of papers citing papers by Shi‐Chuen Miaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shi‐Chuen Miaw

This figure shows the co-authorship network connecting the top 25 collaborators of Shi‐Chuen Miaw. A scholar is included among the top collaborators of Shi‐Chuen Miaw 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 Shi‐Chuen Miaw. Shi‐Chuen Miaw 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.
Dutta, Avijit, Shi‐Chuen Miaw, Tse‐Ching Chen, et al.. (2025). LAG ‐3 + Regulatory T Cells Suppress Effector Function of T Cells and Allow Their Proliferation Into Regulatory T Cells. Immunology. 177(2). 317–328.
2.
Miaw, Shi‐Chuen, et al.. (2020). Combination Therapy of Pulsed-Wave Ultrasound Hyperthermia and Immunostimulant OK-432 Enhances Systemic Antitumor Immunity for Cancer Treatment. International Journal of Radiation Oncology*Biology*Physics. 108(1). 140–149. 7 indexed citations
3.
4.
Ou, Da‐Liang, Yuyang Lin, Chia‐Lang Hsu, et al.. (2018). Development of a PD-L1-Expressing Orthotopic Liver Cancer Model: Implications for Immunotherapy for Hepatocellular Carcinoma. Liver Cancer. 8(3). 155–171. 26 indexed citations
5.
Hamada, Michito, et al.. (2017). Differentiation of IL-17-Producing Invariant Natural Killer T Cells Requires Expression of the Transcription Factor c-Maf. Frontiers in Immunology. 8. 1399–1399. 21 indexed citations
6.
Chang, Ming‐Fong, Hao Chiang, Hung‐Wei Kan, et al.. (2016). Effective gene expression in the rat dorsal root ganglia with a non-viral vector delivered via spinal nerve injection. Scientific Reports. 6(1). 35612–35612. 18 indexed citations
7.
Ho, I‐Cheng & Shi‐Chuen Miaw. (2016). Regulation of IL-4 Expression in Immunity and Diseases. Advances in experimental medicine and biology. 941. 31–77. 73 indexed citations
8.
Chen, Huan-Yuan, Lei Wan, Shi‐Chuen Miaw, et al.. (2013). Galectin-3 Modulates Th17 Responses by Regulating Dendritic Cell Cytokines. American Journal Of Pathology. 183(4). 1209–1222. 50 indexed citations
9.
Tsao, Hsiao‐Wei, Tzong-Shyuan Tai, William W. Tseng, et al.. (2013). Ets-1 facilitates nuclear entry of NFAT proteins and their recruitment to the IL-2 promoter. Proceedings of the National Academy of Sciences. 110(39). 15776–15781. 43 indexed citations
10.
Miaw, Shi‐Chuen, et al.. (2012). 14-3-3θ is a Binding Partner of Rat Eag1 Potassium Channels. PLoS ONE. 7(7). e41203–e41203. 14 indexed citations
11.
Chang, Hui‐Hsin, Tzong-Shyuan Tai, Bing Lü, et al.. (2012). PTPN22.6, a Dominant Negative Isoform of PTPN22 and Potential Biomarker of Rheumatoid Arthritis. PLoS ONE. 7(3). e33067–e33067. 31 indexed citations
12.
Tsai, Pei‐Yun, Hsiao‐Wei Tsao, Mengwei Liu, et al.. (2010). SUMOylation attenuates c‐Maf‐dependent IL‐4 expression. European Journal of Immunology. 40(4). 1174–1184. 18 indexed citations
13.
14.
Chen, Jau‐Shiuh, Hsien‐Ching Chiu, Chih‐Jung Hsu, et al.. (2009). Low-Energy Visible Light Irradiation Modulates Immune Responses Induced by Epicutaneous Sensitization with Protein Antigen. Journal of Investigative Dermatology. 129(9). 2258–2264. 7 indexed citations
15.
Wang, Lifang, et al.. (2009). Epicutaneous sensitization with a protein antigen induces Th17 cells. Journal of Dermatological Science. 54(3). 192–197. 14 indexed citations
16.
Wang, Lifang, et al.. (2009). Antigen-driven bystander effect accelerates epicutaneous sensitization with a new protein allergen. Journal of Biomedical Science. 16(1). 28–28. 8 indexed citations
17.
Grenningloh, Roland, Shi‐Chuen Miaw, Jacques Moisan, Barbara J. Graves, & I‐Cheng Ho. (2008). Role of Ets‐1 phosphorylation in the effector function of Th cells. European Journal of Immunology. 38(6). 1700–1705. 16 indexed citations
18.
Wang, Lifang, Chih‐Jung Hsu, Shi‐Chuen Miaw, et al.. (2006). Cross‐priming with an epicutaneously introduced soluble protein antigen generates Tc1 cells. European Journal of Immunology. 36(11). 2904–2911. 11 indexed citations
19.
Miaw, Shi‐Chuen, et al.. (2004). A Repressor of GATA-Mediated Negative Feedback Mechanism of T Cell Activation. The Journal of Immunology. 172(1). 170–177. 15 indexed citations
20.
Kishikawa, Hiroko, et al.. (2001). The Cell Type-Specific Expression of the Murine IL-13 Gene Is Regulated by GATA-3. The Journal of Immunology. 167(8). 4414–4420. 120 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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