Pei‐Chi Chan

520 total citations
10 papers, 404 citations indexed

About

Pei‐Chi Chan is a scholar working on Epidemiology, Physiology and Surgery. According to data from OpenAlex, Pei‐Chi Chan has authored 10 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Epidemiology, 7 papers in Physiology and 2 papers in Surgery. Recurrent topics in Pei‐Chi Chan's work include Adipokines, Inflammation, and Metabolic Diseases (7 papers), Adipose Tissue and Metabolism (7 papers) and Peroxisome Proliferator-Activated Receptors (2 papers). Pei‐Chi Chan is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (7 papers), Adipose Tissue and Metabolism (7 papers) and Peroxisome Proliferator-Activated Receptors (2 papers). Pei‐Chi Chan collaborates with scholars based in Taiwan and Germany. Pei‐Chi Chan's co-authors include Po‐Shiuan Hsieh, Martin Wabitsch, Kuang‐Chung Shih, Min-Tser Liao, Jong‐Shiaw Jin, Chih‐Hao Chen, Hao‐Ming Chang, Fone‐Ching Hsiao, Yufeng Tian and Chieh‐Hua Lu and has published in prestigious journals such as The FASEB Journal, Free Radical Biology and Medicine and International Journal of Molecular Sciences.

In The Last Decade

Pei‐Chi Chan

10 papers receiving 400 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‐Chi Chan Taiwan 9 164 157 110 57 55 10 404
Bojan Jorgačević Serbia 12 186 1.1× 81 0.5× 112 1.0× 50 0.9× 31 0.6× 23 414
П. А. Затолокин Russia 10 124 0.8× 152 1.0× 119 1.1× 29 0.5× 35 0.6× 31 391
D. Cozzone France 7 135 0.8× 157 1.0× 229 2.1× 36 0.6× 27 0.5× 7 471
Sang-Nam Kim South Korea 13 249 1.5× 288 1.8× 183 1.7× 26 0.5× 45 0.8× 13 594
Yaru Wu China 11 147 0.9× 245 1.6× 297 2.7× 27 0.5× 42 0.8× 22 654
Jung Ran Kim South Korea 8 95 0.6× 106 0.7× 250 2.3× 37 0.6× 28 0.5× 8 451
Ludmila Kazdová Czechia 13 246 1.5× 201 1.3× 184 1.7× 57 1.0× 37 0.7× 24 584
Е. В. Кириенкова Russia 8 96 0.6× 123 0.8× 120 1.1× 22 0.4× 32 0.6× 37 355
Motoyuki Kondo Japan 9 148 0.9× 123 0.8× 104 0.9× 20 0.4× 16 0.3× 11 364
George E. Vandenhoff United States 7 72 0.4× 84 0.5× 122 1.1× 48 0.8× 84 1.5× 8 343

Countries citing papers authored by Pei‐Chi Chan

Since Specialization
Citations

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

Fields of papers citing papers by Pei‐Chi Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

10 of 10 papers shown
1.
Chan, Pei‐Chi & Po‐Shiuan Hsieh. (2022). The Role and Regulatory Mechanism of Brown Adipose Tissue Activation in Diet-Induced Thermogenesis in Health and Diseases. International Journal of Molecular Sciences. 23(16). 9448–9448. 9 indexed citations
2.
Chan, Pei‐Chi, et al.. (2022). Adipose Tissue-Derived CCL5 Enhances Local Pro-Inflammatory Monocytic MDSCs Accumulation and Inflammation via CCR5 Receptor in High-Fat Diet-Fed Mice. International Journal of Molecular Sciences. 23(22). 14226–14226. 16 indexed citations
3.
Chan, Pei‐Chi & Po‐Shiuan Hsieh. (2021). The Chemokine Systems at the Crossroads of Inflammation and Energy Metabolism in the Development of Obesity. International Journal of Molecular Sciences. 22(24). 13528–13528. 15 indexed citations
4.
Chan, Pei‐Chi, Li‐Man Hung, Jiung‐Pang Huang, et al.. (2021). Augmented CCL5/CCR5 signaling in brown adipose tissue inhibits adaptive thermogenesis and worsens insulin resistance in obesity. Clinical Science. 136(1). 121–137. 15 indexed citations
5.
Chan, Pei‐Chi, Min-Tser Liao, Chieh‐Hua Lu, Yufeng Tian, & Po‐Shiuan Hsieh. (2020). Targeting inhibition of CCR5 on improving obesity-associated insulin resistance and impairment of pancreatic insulin secretion in high fat-fed rodent models. European Journal of Pharmacology. 891. 173703–173703. 8 indexed citations
6.
Chan, Pei‐Chi, Min-Tser Liao, & Po‐Shiuan Hsieh. (2019). The Dualistic Effect of COX-2-Mediated Signaling in Obesity and Insulin Resistance. International Journal of Molecular Sciences. 20(13). 3115–3115. 64 indexed citations
7.
Chan, Pei‐Chi, Tingni Wu, Ying‐Chuan Chen, et al.. (2018). Targeted inhibition of CD74 attenuates adipose COX-2-MIF-mediated M1 macrophage polarization and retards obesity-related adipose tissue inflammation and insulin resistance. Clinical Science. 132(14). 1581–1596. 35 indexed citations
8.
Chan, Pei‐Chi, et al.. (2017). Importance of NADPH oxidase-mediated redox signaling in the detrimental effect of CRP on pancreatic insulin secretion. Free Radical Biology and Medicine. 112. 200–211. 11 indexed citations
9.
10.
Hsieh, Po‐Shiuan, et al.. (2009). COX‐2‐mediated Inflammation in Fat Is Crucial for Obesity‐linked Insulin Resistance and Fatty Liver. Obesity. 17(6). 1150–1157. 137 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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