Pei‐Ling Chi

1.4k citations
42 papers · 1.2k indexed · h-index 23

Impact in

    • Protease and Inhibitor Mechanisms
    • NF-κB Signaling Pathways
  • Immunology top 10%
    • Immune Response and Inflammation
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms

Papers in

Pei‐Ling Chi

39 papers receiving 1.2k citations

Peers

Pei‐Ling Chi
Comparison fields: 5 of 105
  • Cancer Research 200
  • Immunology 234
  • Neurology 88
  • Geriatrics and Gerontology 38
  • Molecular Biology 561
Replace Matilde Alique with:
Matilde Alique Spain
Xiaoyu Liu China
Tayeba Khan United States
Jun Cai China
Shaohong Fang China
Takafumi Senokuchi Japan
Zhengwu Sun China
Jing Luo China
David Long United States
Pei‐Ling Chi relative to Matilde Alique Spain Matilde Alique's profile →
Citations per field
00.5×1.7×
Matilde Alique · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Pei‐Ling Chi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Pei‐Ling Chi Line = papers co-authored together Pei‐Ling Chi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201788
2 201084
3 201666
4 201362
5 201462
6 201261
7 201460
8 201359
9 200957
10 201437
11 201234
12 201333
13 201331
14 201429
15 201929
16 201528
17 201127
18 201527
19 201527
20 202125

About Pei‐Ling Chi

Pei‐Ling Chi is a scholar working on Cancer Research, Immunology and Allergy, Immunology, Applied Psychology and Molecular Biology, having authored 42 papers that have together received 1.2k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (8 papers), Heme Oxygenase-1 and Carbon Monoxide (7 papers), Immune Response and Inflammation (6 papers), NF-κB Signaling Pathways (6 papers), Pulmonary Hypertension Research and Treatments (5 papers), Inflammasome and immune disorders (5 papers), Cell Adhesion Molecules Research (4 papers) and Inflammatory mediators and NSAID effects (4 papers). The work is most often cited by research in Cancer Research (200 citations), Immunology (234 citations), Neurology (88 citations), Geriatrics and Gerontology (38 citations) and Molecular Biology (561 citations). Pei‐Ling Chi has collaborated with scholars based in Taiwan, United States and Australia. Frequent co-authors include Chuen‐Mao Yang, Li‐Der Hsiao, Hsi‐Lung Hsieh, I‐Te Lee, Chih‐Chung Lin, Yu‐Wen Chen, Li-Der Hsiao, Chih‐Chung Lin, Ruey‐Horng Shih and Shin‐Ei Cheng. Their work appears in journals such as Journal of Cellular Physiology, Molecular Neurobiology, PLoS ONE, International Journal of Molecular Sciences and American Journal of Physiology-Lung Cellular and Molecular Physiology.

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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