Po‐Yu Chi

513 total citations
9 papers, 390 citations indexed

About

Po‐Yu Chi is a scholar working on Immunology, Physiology and Surgery. According to data from OpenAlex, Po‐Yu Chi has authored 9 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 4 papers in Physiology and 2 papers in Surgery. Recurrent topics in Po‐Yu Chi's work include IL-33, ST2, and ILC Pathways (4 papers), Asthma and respiratory diseases (3 papers) and Immune Cell Function and Interaction (3 papers). Po‐Yu Chi is often cited by papers focused on IL-33, ST2, and ILC Pathways (4 papers), Asthma and respiratory diseases (3 papers) and Immune Cell Function and Interaction (3 papers). Po‐Yu Chi collaborates with scholars based in Taiwan, United States and Spain. Po‐Yu Chi's co-authors include Alan Chuan‐Ying Lai, Ya‐Jen Chang, Christina Li‐Ping Thio, Ming‐Zong Lai, Yen-Lin Lin, Tzu-Sheng Hsu, Yuan Wang, Yungling Leo Lee, Ching‐Hui Tsai and Gill Webster and has published in prestigious journals such as Nature Communications, Journal of Allergy and Clinical Immunology and Journal of Medicinal Chemistry.

In The Last Decade

Po‐Yu Chi

9 papers receiving 387 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Po‐Yu Chi Taiwan 7 205 127 111 94 54 9 390
Xiang‐Qian Luo China 12 131 0.6× 125 1.0× 136 1.2× 38 0.4× 34 0.6× 39 443
Philippe Marquillies France 10 257 1.3× 224 1.8× 97 0.9× 53 0.6× 58 1.1× 14 459
Laura Hesse Netherlands 11 172 0.8× 195 1.5× 144 1.3× 68 0.7× 159 2.9× 19 524
Yasue Suzaki Japan 8 131 0.6× 168 1.3× 89 0.8× 46 0.5× 91 1.7× 10 406
Nivenka Jayasekera United Kingdom 8 119 0.6× 189 1.5× 64 0.6× 34 0.4× 116 2.1× 18 372
Ravisankar A. Ramadas United States 10 305 1.5× 93 0.7× 94 0.8× 35 0.4× 45 0.8× 13 453
Madison G. Boswell United States 9 238 1.2× 203 1.6× 38 0.3× 56 0.6× 70 1.3× 12 432
Jenny Calvén Sweden 9 155 0.8× 178 1.4× 40 0.4× 56 0.6× 83 1.5× 14 322
Takayasu Arima Japan 14 57 0.3× 125 1.0× 104 0.9× 65 0.7× 79 1.5× 28 384
Z Xing China 4 289 1.4× 302 2.4× 58 0.5× 49 0.5× 155 2.9× 11 549

Countries citing papers authored by Po‐Yu Chi

Since Specialization
Citations

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

Fields of papers citing papers by Po‐Yu Chi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Po‐Yu Chi

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

All Works

9 of 9 papers shown
1.
Lai, Alan Chuan‐Ying, et al.. (2023). Serine-/Cysteine-Based sp2-Iminoglycolipids as Novel TLR4 Agonists: Evaluation of Their Adjuvancy and Immunotherapeutic Properties in a Murine Model of Asthma. Journal of Medicinal Chemistry. 66(7). 4768–4783. 6 indexed citations
2.
Tsai, Ching‐Hui, Alan Chuan‐Ying Lai, Po‐Yu Chi, et al.. (2023). Neutrophil extracellular trap production and CCL4L2 expression influence corticosteroid response in asthma. Science Translational Medicine. 15(699). eadf3843–eadf3843. 23 indexed citations
3.
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
4.
Thio, Christina Li‐Ping, et al.. (2022). The ketone body β-hydroxybutyrate mitigates ILC2-driven airway inflammation by regulating mast cell function. Cell Reports. 40(13). 111437–111437. 18 indexed citations
5.
Hsu, Tzu-Sheng, Yen-Lin Lin, Yuan Wang, et al.. (2020). HIF-2α is indispensable for regulatory T cell function. Nature Communications. 11(1). 5005–5005. 86 indexed citations
6.
Thio, Christina Li‐Ping, Alan Chuan‐Ying Lai, Po‐Yu Chi, Gill Webster, & Ya‐Jen Chang. (2019). Toll-like receptor 9–dependent interferon production prevents group 2 innate lymphoid cell–driven airway hyperreactivity. Journal of Allergy and Clinical Immunology. 144(3). 682–697.e9. 35 indexed citations
7.
Lai, Alan Chuan‐Ying, Po‐Yu Chi, Christina Li‐Ping Thio, et al.. (2019). Pulmonary IL‐33 orchestrates innate immune cells to mediate respiratory syncytial virus‐evoked airway hyperreactivity and eosinophilia. Allergy. 75(4). 818–830. 47 indexed citations
8.
Thio, Christina Li‐Ping, Po‐Yu Chi, Alan Chuan‐Ying Lai, & Ya‐Jen Chang. (2018). Regulation of type 2 innate lymphoid cell–dependent airway hyperreactivity by butyrate. Journal of Allergy and Clinical Immunology. 142(6). 1867–1883.e12. 161 indexed citations
9.
Chi, Po‐Yu, et al.. (2015). Improving the Compressive Strength of Carbon Nanotube Turfs by Adding Iron Nanowires to the Nanotube Core. IEEE Transactions on Nanotechnology. 14(5). 806–809. 1 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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