Pei‐Ling Chi

1.4k total citations
42 papers, 1.2k citations indexed

About

Pei‐Ling Chi is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Pei‐Ling Chi has authored 42 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 14 papers in Cancer Research and 10 papers in Immunology. Recurrent topics in Pei‐Ling Chi's work include Protease and Inhibitor Mechanisms (8 papers), Heme Oxygenase-1 and Carbon Monoxide (7 papers) and Immune Response and Inflammation (6 papers). Pei‐Ling Chi is often cited by papers focused on Protease and Inhibitor Mechanisms (8 papers), Heme Oxygenase-1 and Carbon Monoxide (7 papers) and Immune Response and Inflammation (6 papers). Pei‐Ling Chi collaborates with scholars based in Taiwan, United States and Hong Kong. Pei‐Ling Chi's co-authors include Chuen‐Mao Yang, Li‐Der Hsiao, Hsi‐Lung Hsieh, Chih‐Chung Lin, I‐Te Lee, Yu‐Wen Chen, Li-Der Hsiao, Chih‐Chung Lin, Ruey‐Horng Shih and Shin‐Ei Cheng and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and British Journal of Pharmacology.

In The Last Decade

Pei‐Ling Chi

39 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pei‐Ling Chi Taiwan 23 561 234 200 119 118 42 1.2k
Ye Zhao China 17 575 1.0× 300 1.3× 147 0.7× 122 1.0× 107 0.9× 33 1.3k
Lin Qiu China 21 676 1.2× 180 0.8× 246 1.2× 147 1.2× 72 0.6× 54 1.6k
Xin Tu China 16 490 0.9× 284 1.2× 154 0.8× 78 0.7× 129 1.1× 41 1.3k
Huan Li China 21 615 1.1× 269 1.1× 160 0.8× 115 1.0× 102 0.9× 86 1.5k
Haiyan Huang China 24 615 1.1× 162 0.7× 279 1.4× 111 0.9× 144 1.2× 86 1.5k
Ning Han China 25 482 0.9× 146 0.6× 212 1.1× 96 0.8× 147 1.2× 86 1.6k
Matilde Alique Spain 26 846 1.5× 353 1.5× 272 1.4× 113 0.9× 183 1.6× 64 1.8k
Limin Xu China 22 611 1.1× 189 0.8× 285 1.4× 68 0.6× 61 0.5× 57 1.2k
Xin Peng China 21 629 1.1× 136 0.6× 261 1.3× 85 0.7× 68 0.6× 50 1.1k

Countries citing papers authored by Pei‐Ling Chi

Since Specialization
Citations

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

Fields of papers citing papers by Pei‐Ling Chi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pei‐Ling Chi

This figure shows the co-authorship network connecting the top 25 collaborators of Pei‐Ling Chi. A scholar is included among the top collaborators of Pei‐Ling 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 Pei‐Ling Chi. Pei‐Ling Chi 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.
Jiang, Rong‐San, Yu‐Hsuan Lin, Jia-Bin Liao, et al.. (2025). Differential efficacy of olfactory neurospheres from deviated nasal septum and chronic rhinosinusitis patients in regenerating olfactory epithelium. Stem Cell Research & Therapy. 16(1). 166–166.
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Chi, Pei‐Ling, et al.. (2023). Application of homocysteine as a non-invasive and effort-free measurements for risk assessment of patients with pulmonary hypertension. Cardiology Journal. 31(2). 285–299. 1 indexed citations
4.
Chi, Pei‐Ling, et al.. (2021). MMP-10 from M1 macrophages promotes pulmonary vascular remodeling and pulmonary arterial hypertension. International Journal of Biological Sciences. 18(1). 331–348. 25 indexed citations
5.
Hsu, Chih‐Yang, Pei‐Ling Chi, Hsin-Yu Chen, et al.. (2021). Kidney bioengineering by using decellularized kidney scaffold and renal progenitor cells. Tissue and Cell. 74. 101699–101699. 8 indexed citations
6.
Lee, Ming-Ching, et al.. (2019). Molecular profiling of thymoma with myasthenia gravis: Risk factors of developing myasthenia gravis in thymoma patients. Lung Cancer. 139. 157–164. 8 indexed citations
7.
Yang, Chuen‐Mao, Yu‐Wen Chen, Pei‐Ling Chi, Chih‐Chung Lin, & Li‐Der Hsiao. (2017). Resveratrol inhibits BK-induced COX-2 transcription by suppressing acetylation of AP-1 and NF-κB in human rheumatoid arthritis synovial fibroblasts. Biochemical Pharmacology. 132. 77–91. 88 indexed citations
8.
Lee, I‐Te, et al.. (2015). TNF-α Mediates PKCδ/JNK1/2/c-Jun-Dependent Monocyte Adhesion via ICAM-1 Induction in Human Retinal Pigment Epithelial Cells. PLoS ONE. 10(2). e0117911–e0117911. 27 indexed citations
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Lin, Chih‐Chung, Hsi‐Lung Hsieh, Ruey‐Horng Shih, et al.. (2013). Up-regulation of COX-2/PGE2 by endothelin-1 via MAPK-dependent NF-κB pathway in mouse brain microvascular endothelial cells. Cell Communication and Signaling. 11(1). 8–8. 62 indexed citations
12.
Yang, Chuen‐Mao, Hsi‐Lung Hsieh, Chih‐Chung Lin, et al.. (2013). Multiple Factors from Bradykinin-Challenged Astrocytes Contribute to the Neuronal Apoptosis: Involvement of Astroglial ROS, MMP-9, and HO-1/CO System. Molecular Neurobiology. 47(3). 1020–1033. 31 indexed citations
13.
Lin, Chih‐Chung, I‐Te Lee, Pei‐Ling Chi, et al.. (2013). c-Src/Jak2/PDGFR/PKCδ-Dependent MMP-9 Induction Is Required for Thrombin-Stimulated Rat Brain Astrocytes Migration. Molecular Neurobiology. 49(2). 658–672. 25 indexed citations
14.
Yang, Chuen‐Mao, et al.. (2013). NADPH oxidase/ROS-dependent PYK2 activation is involved in TNF-α-induced matrix metalloproteinase-9 expression in rat heart-derived H9c2 cells. Toxicology and Applied Pharmacology. 272(2). 431–442. 33 indexed citations
15.
Lee, I‐Te, et al.. (2013). IL-1β Promotes Corneal Epithelial Cell Migration by Increasing MMP-9 Expression through NF-κB- and AP-1-Dependent Pathways. PLoS ONE. 8(3). e57955–e57955. 59 indexed citations
16.
Chi, Pei‐Ling, Yu‐Wen Chen, Li‐Der Hsiao, Yuh‐Lien Chen, & Chuen‐Mao Yang. (2012). Heme oxygenase 1 attenuates interleukin‐1β–induced cytosolic phospholipase A2 expression via a decrease in NADPH oxidase/reactive oxygen species/activator protein 1 activation in rheumatoid arthritis synovial fibroblasts. Arthritis & Rheumatism. 64(7). 2114–2125. 34 indexed citations
17.
Lin, Chih‐Chung, Hsi‐Lung Hsieh, Ruey‐Horng Shih, et al.. (2012). NADPH oxidase 2-derived reactive oxygen species signal contributes to bradykinin-induced matrix metalloproteinase-9 expression and cell migration in brain astrocytes. Cell Communication and Signaling. 10(1). 35–35. 61 indexed citations
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Wu, Cheng‐Ying, Pei‐Ling Chi, Hsi‐Lung Hsieh, Shue‐Fen Luo, & Chuen‐Mao Yang. (2010). TLR4‐dependent induction of vascular adhesion molecule‐1 in rheumatoid arthritis synovial fibroblasts: Roles of cytosolic phospholipase A2α/cyclooxygenase‐2. Journal of Cellular Physiology. 223(2). 480–491. 22 indexed citations
20.
Luo, Shue‐Fen, Rongxiang Fang, Hsi‐Lung Hsieh, et al.. (2009). Involvement of MAPKs and NF‐κB in tumor necrosis factor α–induced vascular cell adhesion molecule 1 expression in human rheumatoid arthritis synovial fibroblasts. Arthritis & Rheumatism. 62(1). 105–116. 57 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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