Pei‐Ling Chi
Impact in
- Cancer Research top 10%
- Protease and Inhibitor Mechanisms
- NF-κB Signaling Pathways
- Geriatrics and Gerontology top 10%
Papers in
-
- Heme Oxygenase-1 and Carbon Monoxide 7
- Inflammasome and immune disorders 3
-
- Immune Response and Inflammation 6
- Co-authors
- Chuen‐Mao Yang (26 shared papers)Li‐Der Hsiao (11 shared papers)Hsi‐Lung Hsieh (13 shared papers)Chih‐Chung Lin (7 shared papers)Yu‐Wen Chen (4 shared papers)Li-Der Hsiao (8 shared papers)I‐Te Lee (7 shared papers)Ruey‐Horng Shih (4 shared papers)
- Journals
- Molecular Neurobiology (5 papers)Journal of Cellular Physiology (5 papers)PLoS ONE (4 papers)International Journal of Molecular Sciences (3 papers)British Journal of Pharmacology (2 papers)
- Partner nations
- TaiwanUnited StatesHong Kong
In The Last Decade
Pei‐Ling Chi
39 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 103
- Cancer Research 169
- Geriatrics and Gerontology 38
- Neurology 82
- Immunology 202
- Molecular Biology 502
Countries citing papers authored by Pei‐Ling Chi
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
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.
All Works
Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 91 | |
| 2 | 2010 | 84 | |
| 3 | 2016 | 67 | |
| 4 | 2013 | 64 | |
| 5 | 2014 | 63 | |
| 6 | 2014 | 62 | |
| 7 | 2012 | 61 | |
| 8 | 2013 | 60 | |
| 9 | 2009 | 57 | |
| 10 | 2014 | 37 | |
| 11 | 2012 | 34 | |
| 12 | 2013 | 34 | |
| 13 | 2013 | 31 | |
| 14 | 2019 | 30 | |
| 15 | 2021 | 29 | |
| 16 | 2014 | 29 | |
| 17 | 2015 | 28 | |
| 18 | 2011 | 28 | |
| 19 | 2015 | 28 | |
| 20 | 2015 | 27 |
About Pei‐Ling Chi
Pei‐Ling Chi is a scholar working on Molecular Biology, Immunology, Cancer Research, Pulmonary and Respiratory Medicine and Pharmacology, having authored 42 papers that have together received 1.2k indexed citations. Recurring topics across this work include Heme Oxygenase-1 and Carbon Monoxide (7 papers), Protease and Inhibitor Mechanisms (6 papers), Immune Response and Inflammation (6 papers), Pulmonary Hypertension Research and Treatments (5 papers), Inflammatory mediators and NSAID effects (3 papers), NF-κB Signaling Pathways (3 papers), Inflammasome and immune disorders (3 papers) and Cell Adhesion Molecules Research (3 papers). The work is most often cited by research in Cancer Research (169 citations), Geriatrics and Gerontology (38 citations), Neurology (82 citations), Immunology (202 citations) and Molecular Biology (502 citations). Pei‐Ling Chi has collaborated with scholars based in Taiwan, United States and Hong Kong. Frequent co-authors include Chuen‐Mao Yang, Li‐Der Hsiao, Hsi‐Lung Hsieh, Chih‐Chung Lin, Yu‐Wen Chen, Li-Der Hsiao, I‐Te Lee, Chih‐Chung Lin, Ruey‐Horng Shih and Shin‐Ei Cheng. Their work appears in journals such as Molecular Neurobiology, Journal of Cellular Physiology, PLoS ONE, International Journal of Molecular Sciences and British Journal of Pharmacology.
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.