Ching-Mei Hsu

31 total papers · 845 total citations
31 papers, 724 citations indexed

About

Ching-Mei Hsu is a scholar working on Immunology, Molecular Biology and Critical Care and Intensive Care Medicine. According to data from OpenAlex, Ching-Mei Hsu has authored 31 papers receiving a total of 724 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Immunology, 12 papers in Molecular Biology and 6 papers in Critical Care and Intensive Care Medicine. Recurrent topics in Ching-Mei Hsu's work include Immune Response and Inflammation (15 papers), Gut microbiota and health (6 papers) and Nitric Oxide and Endothelin Effects (4 papers). Ching-Mei Hsu is often cited by papers focused on Immune Response and Inflammation (15 papers), Gut microbiota and health (6 papers) and Nitric Oxide and Endothelin Effects (4 papers). Ching-Mei Hsu collaborates with scholars based in Taiwan and United States. Ching-Mei Hsu's co-authors include Lee-Wei Chen, Pei-Hsuan Chen, Jyh-Seng Wang, Wei-Jung Chang, Wen‐Chung Liu, Chang-Phone Fung, Shen-Long Howng, Chi‐Ying F. Huang, Yi‐Ren Hong and Tai-Shan Cheng and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Biochemistry.

In The Last Decade

Ching-Mei Hsu

31 papers receiving 712 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ching-Mei Hsu 345 167 122 121 109 31 724
Yue Peng 406 1.2× 176 1.1× 88 0.7× 192 1.6× 99 0.9× 55 877
Ranran Li 217 0.6× 156 0.9× 68 0.6× 123 1.0× 128 1.2× 48 815
Zhigang Chang 353 1.0× 104 0.6× 61 0.5× 85 0.7× 75 0.7× 36 732
Qun Xie 325 0.9× 140 0.8× 88 0.7× 108 0.9× 71 0.7× 23 652
Ji Li 378 1.1× 123 0.7× 79 0.6× 145 1.2× 113 1.0× 41 837
Andrea Wilke 305 0.9× 136 0.8× 61 0.5× 50 0.4× 84 0.8× 22 761
Zhengzheng Yan 474 1.4× 153 0.9× 110 0.9× 109 0.9× 174 1.6× 24 847
Renyu Ding 204 0.6× 154 0.9× 113 0.9× 266 2.2× 104 1.0× 39 854
Rebecca Halbgebauer 184 0.5× 196 1.2× 99 0.8× 127 1.0× 63 0.6× 30 626
Tomoyuki Harada 260 0.8× 172 1.0× 160 1.3× 121 1.0× 75 0.7× 51 820

Countries citing papers authored by Ching-Mei Hsu

Since Specialization
Citations

This map shows the geographic impact of Ching-Mei Hsu'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 Ching-Mei Hsu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ching-Mei Hsu more than expected).

Fields of papers citing papers by Ching-Mei Hsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ching-Mei Hsu. 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 Ching-Mei Hsu. The network helps show where Ching-Mei Hsu may publish in the future.

Co-authorship network of co-authors of Ching-Mei Hsu

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

All Works

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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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