Chang‐Hung Kuo

1.5k citations
50 papers · 1.2k indexed · h-index 21
Topics
Asthma and respiratory diseases (13 papers)Chemokine receptors and signaling (12 papers)Immune Response and Inflammation (7 papers)

In The Last Decade

Chang‐Hung Kuo

49 papers receiving 1.2k citations

Peers

Chang‐Hung Kuo
Comparison fields: 5 of 129
  • Immunology 264
  • Molecular Biology 215
  • Physiology 199
  • Surgery 186
  • Health, Toxicology and Mutagenesis 160
Replace Bernard M. Fischer with:
Bernard M. Fischer United States
Niki Ubags Switzerland
Hirokazu Kimura Japan
Hiroto Matsuse Japan
Junko Sato Japan
Mohammad Najafi Iran
Berran Yücesoy United States
Miloš Jeseňák Slovakia
Vincenza Di Leo Italy
Yasuhiro Kato Japan
Chang‐Hung Kuo relative to Bernard M. Fischer United States Bernard M. Fischer's profile →
Citations per field
00.5×1.5×
Bernard M. Fischer · 1×
Citations per year

Countries citing papers authored by Chang‐Hung Kuo

Since Specialization
Citations

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

Fields of papers citing papers by Chang‐Hung Kuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chang‐Hung Kuo. 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 Chang‐Hung Kuo. The network helps show where Chang‐Hung Kuo may publish in the future.

Co-authorship network of co-authors of Chang‐Hung Kuo

This figure shows the co-authorship network connecting the top 25 collaborators of Chang‐Hung Kuo. A scholar is included among the top collaborators of Chang‐Hung Kuo 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 Chang‐Hung Kuo. Chang‐Hung Kuo 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
#WorkIndexed citations
1 5
2 13
3 27
4
Dipyrone & 2,5-dimethylcelecoxib suppress Th2-related chemokine production in monocyte
2
5 27
6 43
7 26
8 9
9 2
10 83
11 31
12 4
13 47
14 48
15 28
16 35
17 36
18 13
19 0
20 5

About Chang‐Hung Kuo

Chang‐Hung Kuo is a scholar working on Immunology, Immunology and Allergy and Behavioral Neuroscience, having authored 50 papers that have together received 1.2k indexed citations. Recurring topics across this work include Asthma and respiratory diseases (13 papers), Chemokine receptors and signaling (12 papers) and Immune Response and Inflammation (7 papers). The work is most often cited by research in Immunology and Allergy (95 citations), Immunology (264 citations) and Health, Toxicology and Mutagenesis (160 citations). Chang‐Hung Kuo has collaborated with scholars based in Taiwan, United States and Germany. Frequent co-authors include Chih‐Hsing Hung, San‐Nan Yang, Min‐Sheng Lee, Hsuan‐Fu Kuo, Chong‐Chao Hsieh, Po‐Lin Kuo, Ching‐Hua Huang, Yu‐Te Chu, Ming‐Yii Huang and Yi‐Ching Lin. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Applied Microbiology and Biotechnology.

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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