Shih‐Yu Chen

1.6k total citations
29 papers, 973 citations indexed

About

Shih‐Yu Chen is a scholar working on Immunology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Shih‐Yu Chen has authored 29 papers receiving a total of 973 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Immunology, 9 papers in Molecular Biology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Shih‐Yu Chen's work include Immune Cell Function and Interaction (8 papers), Single-cell and spatial transcriptomics (4 papers) and T-cell and B-cell Immunology (4 papers). Shih‐Yu Chen is often cited by papers focused on Immune Cell Function and Interaction (8 papers), Single-cell and spatial transcriptomics (4 papers) and T-cell and B-cell Immunology (4 papers). Shih‐Yu Chen collaborates with scholars based in Taiwan, United States and Denmark. Shih‐Yu Chen's co-authors include Garry P. Nolan, Eli R. Zunder, Andreas P. Frei, Elena W.Y. Hsieh, Felice-Alessio Bava, Pier Federico Gherardini, Lu Cui, Gerlinde Wernig, Irving L. Weissman and D. Gary Gilliland and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Molecular Cell.

In The Last Decade

Shih‐Yu Chen

26 papers receiving 965 citations

Peers

Shih‐Yu Chen

IMMUN

ONCOL

PRM

Francesca M. Bosisio Belgium

Julia V. Burnier Canada

Barbara T. Grünwald Germany

Christine Schweitzer Germany

Jeffrey C. Hanson United States

Qianshan Ding China

Shuling Zhang China

Andrea B. Moffitt United States

Luciane T. Kagohara United States

Min Ren China

Francesca M. Bosisio Belgium

Shih‐Yu Chen

392 ×0.8

230 ×0.8

IMMUN

330 ×1.8

ONCOL

77 ×0.6

PRM

49 ×0.4

Citations per year, relative to Shih‐Yu Chen Shih‐Yu Chen (= 1×) peers Francesca M. Bosisio

Countries citing papers authored by Shih‐Yu Chen

Since Specialization

Citations

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

Fields of papers citing papers by Shih‐Yu Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shih‐Yu Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Shih‐Yu Chen. A scholar is included among the top collaborators of Shih‐Yu Chen 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 Shih‐Yu Chen. Shih‐Yu Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Kukreja, Vinay, Shanmugasundaram Hariharan, Murugaperumal Krishnamoorthy, et al.. (2025). Modelling radiological features fusion and explainable AI in pneumonia detection: A graph- based deep learning and transformer approach. Results in Engineering. 26. 105225–105225. 1 indexed citations

Bevilacqua, Alessio, Fabien Franco, Kung‐Chi Kao, et al.. (2024). PPARβ/δ-orchestrated metabolic reprogramming supports the formation and maintenance of memory CD8 ⁺ T cells. Science Immunology. 9(98). eadn2717–eadn2717. 11 indexed citations

He, Chuan, Hsin-Yi Chen, Minling Gao, et al.. (2024). UFL1 ablation in T cells suppresses PD-1 UFMylation to enhance anti-tumor immunity. Molecular Cell. 84(6). 1120–1138.e8. 35 indexed citations

Chung, Kuei‐Pin, Yi‐Fu Wang, Yu‐Chang Yeh, et al.. (2024). Immunometabolic features of natural killer cells are associated with infection outcomes in critical illness. Frontiers in Immunology. 15. 1334882–1334882. 1 indexed citations

Chen, Shih‐Yu, et al.. (2024). Mitigating Power and Process Variation for Analog CIM Design Migration. 1–4.

Chen, Wei‐Hsin, Yi-Shiuan Tzeng, Arthur Chun-Chieh Shih, et al.. (2024). Separate anterior paraventricular thalamus projections differentially regulate sensory and affective aspects of pain. Cell Reports. 43(11). 114946–114946. 5 indexed citations

Chien, Yueh, Chih‐Ying Chen, Yi‐Ping Yang, et al.. (2024). Identifying Multiomic Signatures of X‐Linked Retinoschisis‐Derived Retinal Organoids and Mice Harboring Patient‐Specific Mutation Using Spatiotemporal Single‐Cell Transcriptomics. Advanced Science. 12(1). e2405818–e2405818. 2 indexed citations

Cui, Lu, Zhuoqing Fang, Tristan Lerbs, et al.. (2023). Innate immune cell activation causes lung fibrosis in a humanized model of long COVID. Proceedings of the National Academy of Sciences. 120(10). e2217199120–e2217199120. 29 indexed citations

Revathi, A., et al.. (2023). Fuzzy Rule-Based Model to Train Videos in Video Surveillance System. Intelligent Automation & Soft Computing. 37(1). 905–920.

10.

Thio, Christina Li‐Ping, Alan Chuan‐Ying Lai, Po‐Yu Chi, et al.. (2022). Identification of a PD-L1+Tim-1+ iNKT subset that protects against fine particulate matter–induced airway inflammation. JCI Insight. 7(23). 13 indexed citations

11.

Wang, Yi‐Fu, et al.. (2022). Spatial multi-omics analyses of the tumor immune microenvironment. Journal of Biomedical Science. 29(1). 96–96. 91 indexed citations

12.

Gonzalez, Veronica D., Ying-Wen Huang, Shih‐Yu Chen, et al.. (2021). High-grade serous ovarian tumor cells modulate NK cell function to create an immune-tolerant microenvironment. Cell Reports. 36(9). 109632–109632. 52 indexed citations

13.

Guan, Yuan, Annika Enejder, Meiyue Wang, et al.. (2021). A human multi-lineage hepatic organoid model for liver fibrosis. Nature Communications. 12(1). 6138–6138. 96 indexed citations

14.

Weng, Rueyhung Roc, Hsuan‐Hsuan Lu, Chien‐Ting Lin, et al.. (2021). Epigenetic modulation of immune synaptic-cytoskeletal networks potentiates γδ T cell-mediated cytotoxicity in lung cancer. Nature Communications. 12(1). 2163–2163. 22 indexed citations

15.

Hsu, Tsung-Yuan, et al.. (2021). MUT-7 Provides Molecular Insight into the Werner Syndrome Exonuclease. Cells. 10(12). 3457–3457.

16.

Cui, Lu, Shih‐Yu Chen, Tristan Lerbs, et al.. (2020). Activation of JUN in fibroblasts promotes pro-fibrotic programme and modulates protective immunity. Nature Communications. 11(1). 2795–2795. 82 indexed citations

17.

Chen, Shih‐Yu. (2019). Hyperspectral-Guided Drug Classification via Deep Learning. 2 indexed citations

18.

Wernig, Gerlinde, Shih‐Yu Chen, Lu Cui, et al.. (2017). Unifying mechanism for different fibrotic diseases. Proceedings of the National Academy of Sciences. 114(18). 4757–4762. 145 indexed citations

19.

Galsgaard, Elisabeth D., Helle Jensen, Lewis L. Lanier, et al.. (2017). NKG2D ligand expression in Crohn's disease and NKG2D-dependent stimulation of CD8+ T cell migration. Experimental and Molecular Pathology. 103(1). 56–70. 16 indexed citations

20.

Frei, Andreas P., Felice-Alessio Bava, Eli R. Zunder, et al.. (2016). Highly multiplexed simultaneous detection of RNAs and proteins in single cells. Nature Methods. 13(3). 269–275. 260 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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