Nan‐Shih Liao

2.8k total citations
55 papers, 2.4k citations indexed

About

Nan‐Shih Liao is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Nan‐Shih Liao has authored 55 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Immunology, 11 papers in Oncology and 10 papers in Molecular Biology. Recurrent topics in Nan‐Shih Liao's work include Immune Cell Function and Interaction (35 papers), T-cell and B-cell Immunology (29 papers) and Immunotherapy and Immune Responses (8 papers). Nan‐Shih Liao is often cited by papers focused on Immune Cell Function and Interaction (35 papers), T-cell and B-cell Immunology (29 papers) and Immunotherapy and Immune Responses (8 papers). Nan‐Shih Liao collaborates with scholars based in Taiwan, United States and Japan. Nan‐Shih Liao's co-authors include David H. Raulet, Mark Bix, Maarten Zijlstra, Rudolf Jaenisch, Jonathan S. Maltzman, Janet M. Loring, Yein‐Gei Lai, Cheng-Nan Wu, Mei‐Shang Ho and Shin‐Ru Shih and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Nan‐Shih Liao

53 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nan‐Shih Liao Taiwan 23 1.7k 366 329 199 192 55 2.4k
Adriana Bonomo Brazil 23 1.1k 0.7× 333 0.9× 468 1.4× 163 0.8× 91 0.5× 59 2.2k
Tatyana Churakova France 10 2.5k 1.5× 462 1.3× 424 1.3× 70 0.4× 152 0.8× 10 3.2k
Sophie Chabot France 26 925 0.5× 324 0.9× 684 2.1× 129 0.6× 121 0.6× 54 2.3k
Chia-Lin Tsou United States 16 1.4k 0.8× 806 2.2× 548 1.7× 88 0.4× 130 0.7× 19 2.4k
Yohei Kawano Japan 28 1.5k 0.9× 219 0.6× 559 1.7× 47 0.2× 142 0.7× 70 3.0k
K M Mohler United States 15 1.2k 0.7× 511 1.4× 528 1.6× 85 0.4× 85 0.4× 23 2.5k
M. Karen Newell United States 21 1.5k 0.9× 283 0.8× 1.0k 3.1× 137 0.7× 90 0.5× 34 2.6k
Anna‐Marie Fairhurst Singapore 30 2.2k 1.3× 454 1.2× 703 2.1× 66 0.3× 107 0.6× 51 3.2k
Alessandra Franco United States 31 1.4k 0.8× 187 0.5× 635 1.9× 126 0.6× 161 0.8× 74 2.9k
Antonina Dolei Italy 33 974 0.6× 444 1.2× 957 2.9× 234 1.2× 253 1.3× 84 2.7k

Countries citing papers authored by Nan‐Shih Liao

Since Specialization
Citations

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

Fields of papers citing papers by Nan‐Shih Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nan‐Shih Liao. 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 Nan‐Shih Liao. The network helps show where Nan‐Shih Liao may publish in the future.

Co-authorship network of co-authors of Nan‐Shih Liao

This figure shows the co-authorship network connecting the top 25 collaborators of Nan‐Shih Liao. A scholar is included among the top collaborators of Nan‐Shih Liao 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 Nan‐Shih Liao. Nan‐Shih Liao 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.
Huang, Shih‐Wen, Yein‐Gei Lai, Yung‐Hsiang Chen, et al.. (2025). Syngeneic natural killer cell therapy activates dendritic and T cells in metastatic lungs and effectively treats low-burden metastases. eLife. 13. 1 indexed citations
2.
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Chen, Lih‐Chyang, Yu‐Jen Chen, Hsin‐An Lin, et al.. (2023). Inactivation of mitochondrial pyruvate carrier promotes NLRP3 inflammasome activation and gout development via metabolic reprogramming. Immunology. 169(3). 271–291. 14 indexed citations
5.
Zhang, Xiaoling, Fudi Wang, Yong Huang, et al.. (2019). FGG promotes migration and invasion in hepatocellular carcinoma cells through activating epithelial to mesenchymal transition. SHILAP Revista de lepidopterología. 1 indexed citations
6.
Lee, Gilbert Aaron, Yein‐Gei Lai, Ray‐Jade Chen, & Nan‐Shih Liao. (2017). Interleukin 15 activates Akt to protect astrocytes from oxygen glucose deprivation-induced cell death. Cytokine. 92. 68–74. 9 indexed citations
7.
Tsai, Yau-Sheng, Shih‐Chieh Lin, Nan‐Shih Liao, et al.. (2016). Quantitative PPARγ expression affects the balance between tolerance and immunity. Scientific Reports. 6(1). 26646–26646. 16 indexed citations
8.
Wang, Lan‐Wan, Ying-Chao Chang, Shyi-Jou Chen, et al.. (2014). TNFR1-JNK signaling is the shared pathway of neuroinflammation and neurovascular damage after LPS-sensitized hypoxic-ischemic injury in the immature brain. Journal of Neuroinflammation. 11(1). 215–215. 53 indexed citations
9.
Liang, Chih‐Chia, et al.. (2013). Thymic epithelial β‐catenin is required for adult thymic homeostasis and function. Immunology and Cell Biology. 91(8). 511–523. 15 indexed citations
10.
Lai, Yein‐Gei, et al.. (2013). IL‐15 modulates the balance between Bcl‐2 and Bim via a Jak3/1‐PI3K‐Akt‐ERK pathway to promote CD8αα+ intestinal intraepithelial lymphocyte survival. European Journal of Immunology. 43(9). 2305–2316. 24 indexed citations
11.
Yang, Chia‐Yu, et al.. (2009). Promoter Knock-In Mutations Reveal a Role of Mcl-1 in Thymocyte-Positive Selection and Tissue or Cell Lineage-Specific Regulation of Mcl-1 Expression. The Journal of Immunology. 182(5). 2959–2968. 11 indexed citations
12.
Lai, Yein‐Gei, et al.. (2008). IL-15 Does Not Affect IEL Development in the Thymus but Regulates Homeostasis of Putative Precursors and Mature CD8αα+ IELs in the Intestine. The Journal of Immunology. 180(6). 3757–3765. 38 indexed citations
13.
Lai, Yein‐Gei, et al.. (2002). Reduced Expression of Bcl-2 in CD8+ T Cells Deficient in the IL-15 Receptor α-Chain. The Journal of Immunology. 168(2). 705–712. 81 indexed citations
14.
Tarbell, Kristin V., et al.. (2000). Transgenic mice expressing surface markers for IFN-γ and IL-4 producing cells. Molecular Immunology. 37(6). 281–293. 14 indexed citations
15.
Lai, Yein‐Gei, Vasily M. Gelfanov, Valentina Gelfanova, et al.. (1999). IL-15 Promotes Survival But Not Effector Function Differentiation of CD8+ TCRαβ+ Intestinal Intraepithelial Lymphocytes. The Journal of Immunology. 163(11). 5843–5850. 38 indexed citations
16.
Gelfanov, Vasily M., et al.. (1999). IL-15 promotes survival but not effector function differentiation of CD8+ TCRalphabeta+ intestinal intraepithelial lymphocytes.. PubMed. 163(11). 5843–50. 44 indexed citations
17.
Gelfanova, Valentina, et al.. (1999). Modulation of Cytokine Responses of Murine CD8+ αβ Intestinal Intraepithelial Lymphocytes by IL-4 and IL-12. Journal of Biomedical Science. 6(4). 269–276.
18.
Liao, Nan‐Shih, Jonathan S. Maltzman, & David H. Raulet. (1990). Expression of the V beta 5.1 gene by murine peripheral T cells is controlled by MHC genes and skewed to the CD8+ subset.. The Journal of Immunology. 144(3). 844–848. 36 indexed citations
19.
Liao, Nan‐Shih, Jonathan S. Maltzman, & David H. Raulet. (1989). Positive selection determines T cell receptor V beta 14 gene usage by CD8+ T cells.. The Journal of Experimental Medicine. 170(1). 135–143. 138 indexed citations
20.
Cheung, H. Tak, et al.. (1987). Aging and lymphocyte cytoskeleton: age-related decline in the state of actin polymerization in T lymphocytes from Fischer F344 rats.. The Journal of Immunology. 138(1). 32–36. 13 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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