Chi‐Kuang Huang

1.9k citations
36 papers · 1.7k indexed · h-index 22
Topics
Protein Kinase Regulation and GTPase Signaling (11 papers)Neutrophil, Myeloperoxidase and Oxidative Mechanisms (9 papers)Cell Adhesion Molecules Research (8 papers)

In The Last Decade

Chi‐Kuang Huang

36 papers receiving 1.6k citations

Peers

Chi‐Kuang Huang
Comparison fields: 5 of 89
  • Molecular Biology 925
  • Immunology 588
  • Immunology and Allergy 327
  • Cell Biology 250
  • Oncology 244
Replace Ming‐Chei Maa with:
Ming‐Chei Maa Taiwan
B P Bohl United States
Bernard Rothhut France
Jay McQuillan United States
Jun Ishizaki Japan
Corine Gilliéron Switzerland
Sassan Hafizi United Kingdom
Anthony Valentijn United Kingdom
Takaki Hiwasa Japan
Theo A. Berkhout United Kingdom
Chi‐Kuang Huang relative to Ming‐Chei Maa Taiwan Ming‐Chei Maa's profile →
Citations per field
00.5×1.5×1.8×
Ming‐Chei Maa · 1×
Citations per year

Countries citing papers authored by Chi‐Kuang Huang

Since Specialization
Citations

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

Fields of papers citing papers by Chi‐Kuang Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chi‐Kuang Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Chi‐Kuang Huang. A scholar is included among the top collaborators of Chi‐Kuang Huang 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 Chi‐Kuang Huang. Chi‐Kuang Huang 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 2
2 28
3 31
4 195
5 26
6 4
7 66
8 68
9 268
10 98
11 149
12 36
13 37
14 26
15 25
16 28
17 45
18 9
19 6
20 16

About Chi‐Kuang Huang

Chi‐Kuang Huang is a scholar working on Immunology and Allergy, Immunology and Cell Biology, having authored 36 papers that have together received 1.7k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (11 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (9 papers) and Cell Adhesion Molecules Research (8 papers). The work is most often cited by research in Immunology and Allergy (327 citations), Immunology (588 citations) and Cell Biology (250 citations). Chi‐Kuang Huang has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Youxi Ai, Lijun Zhan, Michael Hannigan, R.I. Sha’afi, Dianqing Wu, Youli Zu, Annette Gilchrist, Jan Jongstra, Donald L. Kreutzer and Dolores Vázquez‐Abad. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Immunology.

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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